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1. Households’ access to basic sanitation services and associated factors in Geshiyaro project study sites in Ethiopia

Author: Zinabu Assefa Alemu, Abel Weldetinsae Kidane, Ewnetu Firdawek Liyew, Birhan Mengistu, Tesfaye Zeru Genanew, Ermias Alemayehu Adugna, Meseret Woldeyohannes, Bedasa Tessema Hatehu, Aderajew Mekonnen Girmay, Benjamin Collyer, Zelalem Mehari, Geremew Tasew, Getachew Tollera, and Masresha Tessema
Subjects: Sanitation, Access, Household, Geshiyaro-project, Associated-factors, Ethiopia, Environmental sciences, GE1-350
Abstract: Abstract Background Access to basic sanitation services is essential to enhance public health and well-being. However, ensuring adequate sanitation coverage is difficult in many parts of Ethiopia, including the Geshiyaro Project implementation sites. The Geshiyaro project is part of monitoring and evaluation activities aimed at assessing access to water and basic sanitation services. Hence, research on access to basic sanitation services and the associated risk factors in the Geshiyaro project sites is lacking. Thus, the purpose of this study was to fill this gap. Methods A community-based cross-sectional study was conducted from June to July 2023. A total of 7995 households were included in this study. A structured questionnaire was used to collect the data. STATA version 16 was used to conduct both descriptive and multivariable analysis. Results The study reported that 8.4% of households had basic sanitation services. The following factors were significantly associated with the availability of basic sanitation services: residence (AOR = 0.31, 95% CI 0.25–0.37), education (AOR = 1.36, 95% CI 1.12–1.66), occupation (AOR = 0.44, 95% CI 0.33–0.57), annual income (AOR = 0.66, 95% CI 0.55–0.80), age (AOR = 1.77, 95% CI 1.10–2.84), awareness creation about WASH services (AOR = 0.58, 95% CI 0.49–0.70), family size (AOR = 1.22, 95% CI 1.01–1.46), and water source type (AOR = 0.27, 95% CI 0.13–0.57). Conclusion Households’ access to basic sanitation services in Ethiopia’s Geshiyaro project site is a significant public health concern. Many factors that affect access to basic sanitation services have been identified. The study highlights the importance of targeted interventions to address sociodemographic disparities and improve sanitation facilities. Similarly, the findings of this research will contribute to the achievement of Sustainable Development Goals (SDG) target 3.3 to eradicate the epidemics of AIDS, neglected tropical diseases, tuberculosis, and malaria, as well as combat hepatitis and water-borne illnesses and Sustainable Development Goals (SDG) target 6.2, which deal with the elimination of open defecation, access to sufficient and equitable sanitation and hygiene for everyone, and reducing infectious diseases.
Published: 2024
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2. Protocol for a community-based, household-randomised, dose–response trial to assess the acceptability, nutritional effects and safety of double-fortified salt containing iodine and folic acid compared with iodised salt among non-pregnant Ethiopian women of reproductive age (DFS-IoFA)

Author: Christine M McDonald, Kenneth H Brown, Charles D Arnold, Masresha Tessema, Homero Martínez, Isaac Agbemafle, Meseret Woldeyohannes, Feyissa Challa Waka, Mengistu Fereja, Debritu Nane, Biniyam Tesfaye, and Mandana Arabi
Subjects: Medicine
Abstract: Introduction The prevalence of neural tube defects (NTDs) is higher in Ethiopia than most other countries, and ~84% of Ethiopian women of reproductive age (WRA) have folate insufficiency, a major risk factor for NTDs. Salt fortification with folic acid is a potential strategy to improve women’s folate status, but data are needed on the acceptability, nutritional impact and safety of folic acid fortification of iodised salt.Methods and analysis The study is designed as a community-based, household-randomised, dose–response trial. A total of 360 non-pregnant WRA 18–49 years of age will be randomly assigned to one of three intervention arms: (1) iodised salt fortified with 30 ppm folic acid to provide ~200 µg folic acid/day; (2) iodised salt fortified with 90 ppm folic acid to provide ~600 µg folic acid/day; or (3) iodised salt (comparator). The preweighed salts will be delivered to participants’ homes biweekly for 26 weeks; unused salt will be collected and weighed. Fasting, venous blood samples will be collected at baseline, end line and a randomly assigned intermediate time point for assessment of folate, iodine, vitamin B12 and other micronutrient status biomarkers. Women’s dietary intakes, including discretionary salt consumption, will be measured using weighed food records; 24-hour urine specimens will be analysed for sodium and iodine excretion. Primary outcomes are women’s consumption of study salts, change in biomarkers of folate and iodine status and prevalence of adverse events. Results will be analysed using analysis of covariance models to estimate group mean differences for continuous outcomes, controlling for baseline measurements, and log-binomial or modified Poisson regressions for categorical outcomes. Prespecified effect modifications will be explored.Ethics and dissemination The study has been approved by the Ethiopian Public Health Institute’s Institutional Review Board, and the protocol has been registered with ClinicalTrials.gov (registration number NCT06223854). Study results will be published in open access scientific journals and disseminated nationally in Ethiopia.Trial registration number NCT06223854.
Published: 2024
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3. Co-occurrence of iron, folate, and vitamin A deficiency among pregnant women in eastern Ethiopia: a community-based study

Author: Meseret Belete Fite, Abera Kenay Tura, Tesfaye Assebe Yadeta, Lemessa Oljira, Tara Wilfong, Newas Yusuf Mamme, Gemechu Asefa, Demiraw Bikila Gurmu, Wossene Habtu, Feyissa Challa Waka, Nahom Tefera Demiss, Meseret Woldeyohannes, Masresha Tessema, Dawit Alemayehu, Tahir Ahmed Hassen, Aboma Motuma, and Kedir Teji Roba
Subjects: Co-occurrence, Micronutrient deficiency, Pregnant women, Ferritin, Retinol, Vitamin A, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456, Medicine (General), R5-920
Abstract: Abstract Background It is well known that the magnitude of undernutrition in Ethiopia is unacceptably high. The burden of co-occurrence of iron, folate, and vitamin A deficiency, on the other hand, has received less attention. Thus, in this study, we looked at the prevalence of iron, folate, and vitamin A deficiency in pregnant women in eastern Ethiopia. Methods A community-based cross-sectional study was conducted among 397 pregnant women in Haramaya district, eastern Ethiopia. An interview-assisted questionnaire and blood serum were collected from pregnant women using standard techniques and shipped to an EPHI for micronutrient analysis. Factors associated with the co-occurrence of iron, folate, and vitamin A deficiency were identified using binary and multiple logistic regressions. Results According to this study, 81.6% of the participants were deficient in at least one micronutrient, and 53.53.2% were deficient in two or more. Women who did not receive iron-folic acid supplementation (AOR = 2.44; 95% CI = 1.52–3.92), did not attend Antenatal care (ANC) follow up (AOR = 2.88; 95% CI = 1.81–4.61), and reported low consumption of diversified diet (AOR = 2.18 (95% CI = 1.35–3.51) had a higher risk of co-occurrence of iron, folate, and vitamin A deficiency. Conclusion This study found that more than half of pregnant women were in multiple micronutrients, indicating a major public health issue. In addition to the IFA supplementation programs that are already in place, there is a need for multiple micronutrient supplementation.
Published: 2023
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4. Evaluation of water productivity of smallholder irrigation along a Sand River, in the Maigobo watershed of northern Ethiopia

Author: Sintayehu Fetene Demessie and Meseret Woldeyohannes
Subjects: ETa, Mai Gobo, Sand dam, Water scarcity, Water productivity, WaPOR, Environmental sciences, GE1-350
Abstract: Sand dams are a type of rainwater harvesting technology that can increase groundwater recharge in dry land environments. They are constructed across seasonal sandy rivers and trap sand and water during floods. The sand acts as a natural filter and storage medium for the water, which can be extracted by the local communities through wells, pumps, or scoop holes. This research aims to evaluate agricultural water productivity based on water consumption (ETa) and biomass production of smallholder irrigation schemes along a sand river with a sand dam in the riverbeds of northern Ethiopia. Remotely sensed satellite data, WaPOR (Water Productivity through Open access of Remotely sensed derived data) database was used to estimate water productivity in the arid and semi-arid area. Following the installation of the sand dam at the irrigated parts of the Mai Gobo watershed, both the annual and seasonal values increased over a number of years, according to the spatial analysis of ETa and biomass production. For instance, the maximum seasonal ETa before the dam was about 70 mm/season, whereas after the dam the spatially analysed ETa reached 174 mm/season. Likewise, maximum seasonal biomass production of 1117 kg/ha and 4433 kg/ha were obtained before and after the construction of the sand dam, respectively. Agricultural water productivity at the irrigated plots of the Mai Gobo watershed was also improved from 1.4 kg/m3 to 2.9 kg/m3 before and after the sand dam respectively. Generally, the output of the study can be used as an input for the concerned stakeholder to take measures against the water scarcity problem in the study area. The study also contributes to the scientific knowledge and understanding of the hydrological and agronomical impacts of the sand dam in the arid and semi-arid regions.
Published: 2024
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5. Serum folate deficiency and associated factors among pregnant women in Haramaya District, Eastern Ethiopia: a community-based study

Author: Masresha Tessema, Temam Beshir Raru, Kedir Teji Roba, Meseret Woldeyohannes, Newas Yusuf Mamme, Hirbo Shore Roba, Meseret Belete Fite, Gemechu Asefa, Jemal Abrahim, Mohammed Yuya, Tara Wilfong, Demiraw Bikila Gurmu, Feyissa Challa Waka, Wossene Habtu, Mohammed Abdurke Kure, Dawit Alemayehu, and Aboma Motuma
Subjects: Medicine
Abstract: Objectives We aimed to estimate the prevalence of folate deficiency and contributing factors among pregnant women.Design A community-based, cross-sectional study.Setting Haramaya District, Eastern Ethiopia.Participants Four hundred and forty-six pregnant women participated in the study.Primary outcome measure The prevalence of folate deficiency and risk factors.Results Overall, the prevalence of folate deficiency was 49.3% (95% CI 44.6% to 54.1%). Pregnant women with iron deficiency anaemia were 2.94 times more likely to develop folate deficiency (adjusted OR (AOR)=2.9, 95% CI 1.9 to 4.7). Respondents with good knowledge of folate-rich foods (AOR=0.3, 95% CI 0.1 to 0.7) and those who took iron and folic acid supplementation (AOR=0.6, 95% CI 0.4 to 0.9) during their pregnancy were less likely to develop folate deficiency.Conclusions In this study, a considerable proportion of pregnant women had folate deficiency during their pregnancy. Therefore, it is critical that nutritional treatment, education and counselling be strengthened to facilitate iron and folic acid supplementation during pregnancy.
Published: 2023
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6. Development and validation of liquid chromatography method for simultaneous determination of multiclass seven antibiotic residues in chicken tissues

Author: Aynalem Lakew, Teshome Assefa, Meseret Woldeyohannes, Negussie Megersa, and Bhagwan Singh Chandravanshi
Subjects: Antibiotic residues, Food safety, Food contaminants, Chicken tissue, Liquid chromatography, Chemistry, QD1-999
Abstract: Abstract Background Antibiotics are routinely used on poultry for therapy and prevention of diseases and to enhance animal growth. The objective of this study was to develop and validate a sensitive and reliable liquid chromatography with UV detection (LC-UV) method for the simultaneous determination of seven multiclass antibiotic residues (amoxicillin, ampicillin, penicillin, sulfamethoxazole, gentamicin, ciprofloxacin, and erythromycin) in chicken tissues. Methods The liquid chromatography method with UV detection was optimized for complete separation of the seven selected antibiotic compounds with reversed phase and isocratic elution using Hypersil BDS-C18 (3 µm, 100 mm × 4 mm) column. The mobile phase consisted a ratio of 0.05 M Na2HPO4, acetonitrile and methanol (70:10:20), at UV absorption wavelength of 230 nm. The column thermostat was set at 40 °C, the mobile phase flow rate was 1 mL min−1, and the injection volume was 20 μL. Results All the seven standard compounds were eluted within 14 min. The results for: linearity, precision, sensitivity, accuracy, specificity, decision limit (CCα), detection capability (CCβ), suitability and method robustness were validated according to the criteria of Commission Decision 2002/657/EC guidelines. Calibration plot correlation coefficients ranged from 0.9983 to 0.9998 and the percent relative standard deviations for repeated analysis were below 5% indicating acceptable method precision. The limits of detection (LODs) and quantification (LOQs) ranged from 0.098–0.255 μg kg−1 to 0.297–0.574 μg kg−1, respectively. The accuracy study yielded recoveries in the ranges 98.1–107% for the pure compounds and 94.0–102% for the spiked drug free chicken tissue samples. Conclusions The method was found to be appropriate for simultaneous determination of five different classes of seven antibiotic residues in chicken tissues. Furthermore, this is the first instance for the simultaneous determination of seven multiclass, multi-residues analysis using LC-UV from chicken tissue samples. This is a cost-effective and alternative method with simple instrumentation approach for laboratories that lack highly specialized state-of-the-art instrumentation.
Published: 2022
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7. Ethiopia National Food and Nutrition Survey to inform the Ethiopian National Food and Nutrition Strategy: a study protocol

Author: Masresha Tessema, Kaleab Baye, Meseret Zelalem, Arnaud Laillou, Meseret Woldeyohannes, Meron Girma, Alemnesh Petros, Alemayehu Hussen, Aregash Samuel, Danial Abera Dinssa, Feyissa Challa, Stanley Chitekwe, Ramadhani Noor, Anne Sophie Donze, Getachew Tollera, Mesay Hailu Dangiso, and Lia Tadesse
Subjects: Medicine
Abstract: Introduction Ethiopia has made significant progress in reducing malnutrition in the past two decades. Despite such improvements, a substantial segment of the country’s population remains chronically undernourished and suffers from micronutrient deficiencies and from increasing diet-related non-communicable diseases such as diabetes, hypertension and cancer. This survey aims to assess anthropometric status, dietary intake and micronutrient status of Ethiopian children, women and adolescent girls. The study will also assess coverage of direct and indirect nutrition-related interventions and map agricultural soil nutrients. The survey will serve as a baseline for the recently developed Ethiopian Food System Transformation Plan and will inform the implementation of the National Food and Nutrition Strategy.Methods and analysis As a population-based, cross-sectional survey, the study will collect data from the 10 regions and 2 city administrations of Ethiopia. The study population will be women of reproductive age, children aged 0–59 months, school-aged children and adolescent girls. A total of 16 596 households will be surveyed, allowing the generation of national and regional estimates. A two-stage stratified cluster sampling procedure will be used to select households. In the first stage, 639 enumeration areas (EAs) will be selected using probability-proportional-to-size allocation. In the second stage, 26 eligible households will be selected within each EA using systematic random selection. Primary outcomes include coverage of direct and indirect nutrition interventions, infant and young child feeding (IYCF) practices, food insecurity, dietary intakes, mental health, anthropometric status, micronutrient status and soil nutrient status.Ethics and dissemination The protocol was fully reviewed and approved by the Institutional Review Board of the Ethiopian Public Health Institute (protocol no: EPHI-IRB-317–2020). The study is based on voluntary participation and written informed consent is required from study participants. The findings will be disseminated via forums and conferences and will be submitted for publication in peer-reviewed journals.
Published: 2023
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8. Association Between Dietary Fluoride and Calcium Intake of School-Age Children With Symptoms of Dental and Skeletal Fluorosis in Halaba, Southern Ethiopia

Author: Nahom Tefera, Demmelash Mulualem, Kaleab Baye, Masresha Tessema, Meseret Woldeyohannes, Asrat Yehualashet, and Susan J. Whiting
Subjects: fluoride, fluorosis, calcium, dental, skeletal, school-age children, Dentistry, RK1-715
Abstract: BackgroundIn the Ethiopian Rift Valley, ways to reduce the fluoride (F) burden from drinking water have been unsuccessful. Calcium (Ca) intake may mitigate fluorosis by binding with F ions and preventing absorption. The purpose of this study was to examine the association between Ca intake and proportion of fluorosis symptoms in school-age children in an area where F levels are known to be higher than WHO limit of 1.5 mg F/L water.MethodsA cross-sectional survey in the Halaba zone involved 135 eligible children aged 6–13 year who were recruited to have dental fluorosis assessed by a dentist and skeletal fluorosis assessed by a physiotherapist. Dietary Ca intake was determined by 24-h recall. Food items and samples from ground wells, taps and spring water were collected for F concentration. Associations were measured using bivariate logistic regression, adjusted for known confounders.ResultsWater F averaged 5.09 mg/L. Total F intake was high, 10.57 mg/day, and Ca intake was low, 520 mg/day. Prevalence of dental fluorosis (from very mild to severe symptoms) was 73.1% for younger children (6–8 years) and 68.3 % for older children (9–13 years). The prevalence of children having symptoms of skeletal fluorosis ranged between 55.1 and 72.4%, with no apparent age difference. Dietary F intake of children was significantly positively associated with presence of dental fluorosis. Dietary Ca intake of children was significantly negatively associated with dental fluorosis. Higher than average dietary F intake significantly increased the odds of developing skeletal fluorosis symptoms when measured as inability to stretch and fold arms to touch back of head. Higher than average Ca intake was significantly associated with decreased odds of developing skeletal fluorosis measured as inability to bend body to touch the toes or floor.ConclusionsHigh dietary F, as expected, was associated with fluorosis in children. In the presence of higher Ca intake (>520 mg/day) some fluorosis symptoms were mitigated. There is a need to improve Ca intakes as all were below recommended levels, and this nutritional strategy may also reduce burden of excess F.
Published: 2022
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9. Goiter and its associated factors among primary school children aged 6-12 years in Anchar district, Eastern Ethiopia.

Author: Muzemil Muktar, Kedir Teji Roba, Bezatu Mengistie, Berhe Gebremichael, Adamu Belay Tessema, and Meseret Woldeyohannes Kebede
Subjects: Medicine, Science
Abstract: BackgroundGoiter is a major public health problem in Ethiopia. Even though there were studies done on goiter in Ethiopia, there was little evidence in the eastern part of the country. Therefore, the aim of this study was to assess the prevalence of goiter and its associated factors among school-age children in Anchar district of Eastern Ethiopia.MethodsA school based cross-sectional study was conducted from February 13 to 30, 2017. Multistage sampling method was used to select 418 children aged 6-12 years. Data were collected using a questionnaire. Children were examined for the presence or absence of goiter based on the criteria of the World Health Organization (WHO). Salt samples were tested using a rapid test kit. Data were entered to EpiData version 3.1 and exported to SPSS version 22.0 for analysis. Bivariate and multivariate logistic regression models were fitted; Crude Odds Ratio (COR) and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were computed. Level of significance was determined at p-value less than 0.05.ResultsThe total goiter prevalence rate was 51.8% (CI: 46.9%, 56.8%). Father's education (AOR = 1.87, CI: 1.06, 3.30), type of salt used (AOR = 2.09, CI: 1.13, 3.88), iodine level of salt (AOR = 2.77, CI: 1.11, 6.89), frequency of milk consumption (AOR = 3.65, CI: 1.63, 8.20), frequency of cabbage consumption (AOR = 7.74, CI: 4.48, 13.39), eating status of eggs (AOR = 3.16, CI: 1.54, 6.50), and eating status of dark green vegetables/fruits (AOR = 2.14, CI: 1.17, 3.93) were factors associated with goiter among school-age children.ConclusionsThe total goiter prevalence rate was very high. Therefore, the health and education sectors of the study area should work hand in hand to improve the awareness of the community about goiter, iodized salt and iodine rich foods.
Published: 2019
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10. Comparison of Total Body Vitamin A Stores Using Individual versus Population 13C-Natural Abundance of Serum Retinol in Preschool Children and Women Residing in 6 Diverse African Countries

Author: Bryan M. Gannon, Olivier O. Sombié, Augustin N. Zeba, Gabriel Medoua Nama, Tesfaye Hailu Bekele, Meseret Woldeyohannes, Martha E. van Stuijvenberg, Muhammad A. Dhansay, Elisaphinate M. Urio, Chisela Kaliwile, Justin Chileshe, Ng’Andwe Kalungwana, Christopher R. Davis, Michael Grahn, and Sherry A. Tanumihardjo
Subjects: Nutrition and Dietetics, Medicine (miscellaneous)
Published: 2023
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11. Association between Biomarkers of Inflammation and Total Liver Vitamin A Reserves Estimated by 13C-Retinol Isotope Dilution among Preschool Children in 5 African Countries

Author: Devika J. Suri, Olivier O. Sombié, Augustin N. Zeba, Gabriel Medoua Nama, Tesfaye Hailu Bekele, Meseret Woldeyohannes, Martha E. van Stuijvenberg, Muhammad A. Dhansay, Elisaphinate M. Urio, Cornelia U. Loechl, Bryan M. Gannon, Christopher R. Davis, Michael Grahn, Parminder S. Suchdev, and Sherry A. Tanumihardjo
Subjects: Nutrition and Dietetics, Medicine (miscellaneous)
Published: 2023
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12. Serum folate deficiency and associated factors among pregnant women in Haramaya District, Eastern Ethiopia: a community-based study

Author: Newas Yusuf Mamme, Hirbo Shore Roba, Meseret Belete Fite, Gemechu Asefa, Jemal Abrahim, Mohammed Yuya, Tara Wilfong, Demiraw Bikila Gurmu, Feyissa Challa Waka, Masresha Tessema, Wossene Habtu, Meseret Woldeyohannes, Temam Beshir Raru, Mohammed Abdurke Kure, Dawit Alemayehu, Aboma Motuma, and Kedir Teji Roba
Subjects: General Medicine
Abstract: ObjectivesWe aimed to estimate the prevalence of folate deficiency and contributing factors among pregnant women.DesignA community-based, cross-sectional study.SettingHaramaya District, Eastern Ethiopia.ParticipantsFour hundred and forty-six pregnant women participated in the study.Primary outcome measureThe prevalence of folate deficiency and risk factors.ResultsOverall, the prevalence of folate deficiency was 49.3% (95% CI 44.6% to 54.1%). Pregnant women with iron deficiency anaemia were 2.94 times more likely to develop folate deficiency (adjusted OR (AOR)=2.9, 95% CI 1.9 to 4.7). Respondents with good knowledge of folate-rich foods (AOR=0.3, 95% CI 0.1 to 0.7) and those who took iron and folic acid supplementation (AOR=0.6, 95% CI 0.4 to 0.9) during their pregnancy were less likely to develop folate deficiency.ConclusionsIn this study, a considerable proportion of pregnant women had folate deficiency during their pregnancy. Therefore, it is critical that nutritional treatment, education and counselling be strengthened to facilitate iron and folic acid supplementation during pregnancy.
Published: 2023
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13. Q fever vaccine efficacy and occupational exposure risk in Queensland, Australia: A retrospective cohort study

Author: Charles F. Gilks, Simon Reid, Luke D. Knibbs, Peter Baker, Nigel R. Perkins, and Solomon Meseret Woldeyohannes
Subjects: Adult, medicine.medical_specialty, 030231 tropical medicine, Q fever, 03 medical and health sciences, 0302 clinical medicine, Occupational Exposure, Internal medicine, medicine, Humans, 030212 general & internal medicine, Retrospective Studies, General Veterinary, General Immunology and Microbiology, business.industry, Incidence (epidemiology), Vaccination, Hazard ratio, Australia, Public Health, Environmental and Occupational Health, Retrospective cohort study, medicine.disease, Vaccine efficacy, Infectious Diseases, Molecular Medicine, Population study, Queensland, Q Fever, business, Vaccine failure
Abstract: Q-VAX® is a vaccine used to prevent Q fever. Administration of the vaccine is complicated by the need to ensure, using intradermal and serological tests, that individuals have no prior immunity. Previous studies suggest that the vaccine is highly efficacious and long-lasting in adults. However, there has been no systematic follow-up of vaccine efficacy and the longevity of immunity using population-level data. We aimed to investigate the vaccine failure rate and duration of immunity in previously vaccinated individuals. We formulated a retrospective cohort study design within a linked data. We used a Q fever vaccination registry linked to Q fever notifications and hospital admissions (1991-2016) in the state of Queensland, which has Australia's highest incidence of Q fever. Q-VAX® failure was defined as occurrence of Q fever > 14 days' after vaccination. The incidence of Q fever in vaccinated and unvaccinated individuals was 5.40 (95% CI: 3.65, 7.72) and 89.50 (95% CI: 70.50, 112.00]) per 100,000 person-years of follow-up, respectively. The hazard ratio (HR) for Q fever was 0.07 (95% CI: 0.04, 0.10) in non-immune vaccinated compared with immune unvaccinated individuals. The overall vaccine effectiveness was found to be 94.37% suggesting that Q-VAX® is highly effective at preventing Q fever. However, the greater incidence observed in unvaccinated individuals considered immune during the pre-vaccination screening may suggest that pre-vaccination screening is sub-optimal among this study population.
Published: 2020
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14. Development and validation of liquid chromatography method for simultaneous determination of multiclass seven antibiotic residues in chicken tissues

Author: Aynalem Lakew, Teshome Assefa, Meseret Woldeyohannes, Negussie Megersa, and Bhagwan Singh Chandravanshi
Subjects: General Chemistry
Abstract: Background Antibiotics are routinely used on poultry for therapy and prevention of diseases and to enhance animal growth. The objective of this study was to develop and validate a sensitive and reliable liquid chromatography with UV detection (LC-UV) method for the simultaneous determination of seven multiclass antibiotic residues (amoxicillin, ampicillin, penicillin, sulfamethoxazole, gentamicin, ciprofloxacin, and erythromycin) in chicken tissues. Methods The liquid chromatography method with UV detection was optimized for complete separation of the seven selected antibiotic compounds with reversed phase and isocratic elution using Hypersil BDS-C18 (3 µm, 100 mm × 4 mm) column. The mobile phase consisted a ratio of 0.05 M Na2HPO4, acetonitrile and methanol (70:10:20), at UV absorption wavelength of 230 nm. The column thermostat was set at 40 °C, the mobile phase flow rate was 1 mL min−1, and the injection volume was 20 μL. Results All the seven standard compounds were eluted within 14 min. The results for: linearity, precision, sensitivity, accuracy, specificity, decision limit (CCα), detection capability (CCβ), suitability and method robustness were validated according to the criteria of Commission Decision 2002/657/EC guidelines. Calibration plot correlation coefficients ranged from 0.9983 to 0.9998 and the percent relative standard deviations for repeated analysis were below 5% indicating acceptable method precision. The limits of detection (LODs) and quantification (LOQs) ranged from 0.098–0.255 μg kg−1 to 0.297–0.574 μg kg−1, respectively. The accuracy study yielded recoveries in the ranges 98.1–107% for the pure compounds and 94.0–102% for the spiked drug free chicken tissue samples. Conclusions The method was found to be appropriate for simultaneous determination of five different classes of seven antibiotic residues in chicken tissues. Furthermore, this is the first instance for the simultaneous determination of seven multiclass, multi-residues analysis using LC-UV from chicken tissue samples. This is a cost-effective and alternative method with simple instrumentation approach for laboratories that lack highly specialized state-of-the-art instrumentation.
Published: 2021

15. Screening tools to exclude active pulmonary TB in high TB burden countries: systematic review and meta-analysis

Author: Solomon Meseret Woldeyohannes, Yibeltal Assefa, Yohei Hamada, Haileyesus Getahun, and Yalemzewod Assefa Gelaw
Subjects: Pulmonary and Respiratory Medicine, medicine.medical_specialty, Tuberculosis, 030231 tropical medicine, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Prevalence, medicine, Humans, Mass Screening, Screening tool, 030212 general & internal medicine, Developing Countries, Tuberculosis, Pulmonary, Mass screening, Family Characteristics, Receiver operating characteristic, business.industry, Odds ratio, medicine.disease, Infectious Diseases, Meta-analysis, Abnormality, Pulmonary tb, business
Abstract: OBJECTIVE To examine the use of symptoms, chest X-ray (CXR) abnormalities, and combinations of symptoms and CXR in excluding active pulmonary tuberculosis (TB) before treating for latent tuberculous infection (LTBI) in high TB burden countries. METHODS We updated a systematic review and meta-analysis of studies on the sensitivities, specificities, predictive values, diagnostic odds ratios and areas under the curve for index tests. The analysis was conducted using the hierarchical summary receiver operating characteristic method in R software. RESULTS We included 24 publications in the systematic review and meta-analysis. 'Any CXR abnormality' had the highest sensitivity (94.1%, 95%CI 85.8-97.7) among all index tests. 'CXR abnormality suggestive of TB' had a higher specificity (92.2%, 95%CI 89.7-94.1) than 'any CXR abnormality' (86.8%, 95%CI 79.7-91.7). The sensitivity for 'any TB symptom' was 73.0% (95%CI 64.1-80.4), while 'prolonged cough' of ≥2 weeks had a specificity of 94.3% (95%CI 92.2-95.9). There was no significant difference in the sensitivity and specificity of all screening tools stratified by human immunodeficiency virus (HIV) settings, with the exception of 'CXR abnormality suggestive of TB', which had a significantly higher sensitivity in low than in high HIV prevalence settings (effect estimate 2.26, 95%CI 0.69-3.82; P = 0.002). CONCLUSION In countries with a high TB burden, the absence of any TB symptom and any CXR abnormality can be used to exclude active pulmonary TB before initiating treatment for LTBI in household contacts aged ≥5 years of patients with bacteriologically confirmed pulmonary TB. .
Published: 2019
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16. Alfaxalone for total intravenous anaesthesia in horses

Author: Wendy Goodwin, Nigel R. Perkins, Solomon Meseret Woldeyohannes, H. Keates, Kirby Pasloske, and M.G. Ranasinghe
Subjects: Male, 040301 veterinary sciences, Cardiac index, Hemodynamics, Pregnanediones, 0403 veterinary science, Xylazine, 03 medical and health sciences, Acepromazine, 0302 clinical medicine, Heart Rate, 030202 anesthesiology, medicine, Animals, Horses, Prospective Studies, Volume of distribution, General Veterinary, business.industry, Alfaxalone, Horse, 04 agricultural and veterinary sciences, Venous blood, Anesthesia, Anesthesia Recovery Period, Anesthesia, Intravenous, Female, business, Anesthetics, Intravenous, medicine.drug
Abstract: Objective To determine the suitability of alfaxalone total intravenous (IV) anaesthesia in horses and concurrently evaluate infusion rates, cardiovascular effects, pharmacokinetics and the quality of the anaesthetic recovery period. Study design Prospective, experimental study. Animals Eight Standardbred horses. Methods Horses were premedicated with IV acepromazine (0.03 mg kg–1) and xylazine (1 mg kg–1) and anaesthesia was induced with guaifenesin (35 mg kg–1) and alfaxalone (1 mg kg–1). Anaesthesia was maintained for 180 minutes using an IV infusion of alfaxalone at a rate determined by a horse’s response to a supramaximal electrical noxious stimulus. Venous blood samples were regularly collected to determine alfaxalone plasma concentrations and for pharmacokinetic analysis. Cardiopulmonary variables were monitored and the quality of the anaesthetic recovery period scored. Results The median (range) alfaxalone infusion rate was 3.1 (2.4–4.3) mg kg–1 hour–1. The mean ± standard deviation plasma elimination half-life, plasma clearance and volume of distribution for alfaxalone were 41 minutes, 25 ± 6.3 mL minute–1 kg–1 and 1.6 ± 0.5 L kg–1, respectively. During anaesthesia, mean arterial blood pressure was maintained above 70 mmHg in all horses. Cardiac index reached a minimum value (68% of baseline values) immediately after induction of anaesthesia and was maintained between 74% and 90% of baseline values for the remainder of the anaesthetic protocol. Following the cessation of the alfaxalone infusion, six of eight horses exhibited muscle tremors and paddling. All horses stood without incident on the first or second attempt with a median recovery score of 4.5 (good to excellent). Conclusions and clinical relevance Anaesthesia in horses can be maintained with an infusion of alfaxalone at approximately 3 mg kg–1 hour–1. The alfaxalone infusion rates used resulted in minimal haemodynamic changes and good recovery quality. Mean alfaxalone plasma concentration was stable over the infusion period and clearance rates were similar to previously published single-dose alfaxalone studies in horses.
Published: 2019
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17. A Prospective Study of Training Methods for Two-Year-Old Thoroughbred Racehorses in Queensland, Australia, and Analysis of the Differences in Training Methods between Trainers of Varying Stable Sizes

Author: Solomon Meseret Woldeyohannes, Anna Finnane, Emma L. Bishop, Nigel R. Perkins, Kylie L. Crawford, Clive J. C. Phillips, Ristan M. Greer, and Benjamin J. Ahern
Subjects: medicine.medical_specialty, thoroughbred, education, Detailed data, racehorse, Article, lcsh:Zoology, medicine, lcsh:QL1-991, Prospective cohort study, rest period, Estimation, Training set, Preventing injury, training, lcsh:Veterinary medicine, General Veterinary, business.industry, two-year-old, Training methods, Test (assessment), Structured interview, Physical therapy, lcsh:SF600-1100, Animal Science and Zoology, business
Abstract: Worldwide, musculoskeletal injuries remain a major problem for the Thoroughbred racing industry. There is a strong interest in developing training and management strategies to reduce the impact of musculoskeletal injuries, however, progress has been limited by studies reporting conflicting findings, and a limited understanding of the role of different training methods in preventing injury. There is little data on patterns of rest periods and exercise data and how these vary between trainers. This prospective study of two-year-old racehorses was conducted in Queensland, Australia and involved weekly personal structured interviews with 26 trainers over 56 weeks. Detailed daily exercise data for 535 horses providing 1258 training preparations and 7512 weeks at risk were collected. Trainers were categorised into three groups by the mean number of two-year-old horses that they had in work each week over the study duration: (1) Small stables with five or less, (2) Medium stables with 6 to 15 and (3) Large stables with greater than 15 horses in training. Differences between trainers with small, medium and large stable sizes were evaluated using linear regression, Kruskal–Wallis equality-of-populations rank test if linear models were mis-specified or Chi-squared tests for categorical variables. Significant differences were observed between trainers, with horses from larger stables accumulating a greater high-speed exercise volume (p &lt, 0.001), attaining training milestones more frequently (p = 0.01) and taking less time to reach their training milestones (p = 0.001). This study provides detailed data to which training practices from other locations can be compared. Presenting actual training data rather than trainers’ estimation of a typical program provides a more accurate assessment of training practices. Understanding how training practices vary between regions improves comparability of studies investigating risk factors and is an important step towards reducing the impact of musculoskeletal injuries.
Published: 2021

18. Does the Low-Field MRI Appearance of Intraosseous STIR Hyperintensity in Equine Cadaver Limbs Change when Subjected to a Freeze-Thaw Process?

Author: Benjamin J. Ahern, Solomon Meseret Woldeyohannes, Georgina C. A. Johnston, and Alex C. Young
Subjects: Fetlock, 040301 veterinary sciences, Inversion recovery, Article, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Cadaver, lcsh:Zoology, Medicine, magnetic resonance imaging, lcsh:QL1-991, Process (anatomy), 030222 orthopedics, lcsh:Veterinary medicine, General Veterinary, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, 04 agricultural and veterinary sciences, Anatomy, Low field mri, Hyperintensity, horse, STIR hyperintensity, lcsh:SF600-1100, Animal Science and Zoology, cadaver limb, Metatarsal bones, business
Abstract: Simple Summary Research into the advanced imaging appearance of Thoroughbred racehorse fetlocks is receiving increased attention in an effort to better understand and potentially reduce the occurrence of catastrophic fracture in these horses. Studies in this area commonly use cadaver equine limbs from racehorses and a freeze-thaw process prior to imaging. The low-field magnetic resonance imaging (MRI) appearance of the bones of the fetlock joint is of particular interest in the diagnosis of impending fracture in this location. However, little is known about the effect of the freeze-thaw process on the appearance of certain signal changes (“STIR hyperintensity”) seen commonly in racehorses. This study compares the low-field MRI appearance of short tau inversion recovery (STIR) hyperintensity in the bones of cadaver fetlocks from Thoroughbreds in race training, before and after a freeze-thaw protocol. Fifteen cadaver fetlocks with abnormal bone signal were included in the study. Blinded and unblinded statistical comparisons were made. No overall clinical or statistical difference was detected in intensity and distribution of the STIR signal before and after freeze-thaw. This indicates that the MRI appearance of STIR hyperintensity in freeze-thawed cadaver fetlocks can be considered representative of the appearance of pathology in the recently euthanized horse. This is important information to further advance research in the area of Thoroughbred racing fatality reduction. Abstract Equine advanced imaging research involving racehorse fetlock pathology commonly uses cadaver limbs and a freeze-thaw process. The presence of short tau inversion recovery (STIR) signal intensity in the distal third metacarpal/metatarsal bone is of particular interest and may be clinically relevant in the diagnosis of horses at risk of fracture. However, little is known about the effect of the freeze-thaw process on the MRI appearance of STIR hyperintensity in these bones. This study compares the low-field MRI appearance of the distal third metacarpal/metatarsal bone from cadaver limbs of Thoroughbreds in race training before and after a freeze-thaw protocol. Blinded and unblinded comparisons were made using objective SNR values and subjective grading. Fifteen cadaver limbs with STIR hyperintensity in the distal third metacarpal/metatarsal bone were included. No overall clinical or statistical significance was detected in STIR signal intensity and distribution after freeze-thaw. Three limbs from one horse had individual changes in STIR hyperintensity that were hypothesized to be attributable to ante-mortem haemodynamic abnormalities caused by anaesthesia. These results indicate that the distribution and intensity of STIR hyperintensity in freeze-thawed cadaver fetlocks can be considered representative of the appearance of pathology in the recently euthanized horse. However, care should be taken with horse selection and handling of the cadaver limbs to ensure reliable appearance of STIR signal after freeze-thaw.
Published: 2021
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19. Cricothyrotomy Is Faster Than Tracheostomy for Emergency Front-of-Neck Airway Access in Dogs

Author: Mark Haworth, Solomon Meseret Woldeyohannes, Sureiyan Hardjo, Sarah Purcell, and Catriona Croton
Subjects: 040301 veterinary sciences, medicine.medical_treatment, BACT, intubation, law.invention, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, cricothyrotomy, 030202 anesthesiology, law, Medicine, Intubation, Complication rate, Cricothyrotomy, Generalized estimating equation, airway obstruction, Original Research, Procedure time, difficult airway, lcsh:Veterinary medicine, General Veterinary, business.industry, eFONA, tracheostomy (TT), 04 agricultural and veterinary sciences, CICO, Airway obstruction, medicine.disease, Anesthesia, lcsh:SF600-1100, Veterinary Science, Airway, business
Abstract: Objectives:In novice final year veterinary students, we sought to: (1) compare the procedure time between a novel cricothyrotomy (CTT) technique and an abbreviated tracheostomy (TT) technique in canine cadavers, (2) assess the success rate of each procedure, (3) assess the complication rate of each procedure via a damage score, (4) evaluate the technical difficulty of each procedure and (5) determine the preferred procedure of study participants for emergency front-of-neck access.Materials and Methods:A prospective, cross-over, block randomised trial was performed, where veterinary students completed CTT and TT procedures on cadaver dogs. Eight students were recruited and performed 32 procedures on 16 dogs. A generalised estimating equation approach to modelling the procedure times was used.Results:The procedure time was significantly faster for the CTT than the TT technique, on average (p< 0.001). The mean time taken to complete the CTT technique was 49.6 s (95% CI: 29.5–69.6) faster on average, with a mean CTT time of less than half that of the TT. When taking into account the attempt number, the procedure time for a CTT was 66.4 s (95% CI: 38.9–93.9) faster than TT for the first attempt, and for the second attempt, this was 32.7 s (95% CI: 15.2–50.2) faster, on average. The success rate for both procedures was 100% and there was no difference detected in the damage or difficulty scores (P= 0.13 and 0.08, respectively). Seven of eight participants preferred the CTT.Clinical Significance:CTT warrants consideration as the primary option for emergency front-of-neck airway access for dogs.
Published: 2021
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20. The Use of Percutaneous Thermal Sensing Microchips for Body Temperature Measurements in Horses Prior to, during and after Treadmill Exercise

Author: R. R. Zsoldos, Solomon Meseret Woldeyohannes, Hyungsuk Kang, John B. Gaughan, and Albert Sole Guitart
Subjects: Percutaneous, Treadmill exercise, Temperature measurement, Article, Heat illness, treadmill exercise, lcsh:Zoology, medicine, lcsh:QL1-991, Nuchal ligament, Core (anatomy), lcsh:Veterinary medicine, General Veterinary, business.industry, medicine.disease, percutaneous thermal sensing microchip, horse, Thermal sensing, medicine.anatomical_structure, central venous temperature, lcsh:SF600-1100, Animal Science and Zoology, Implant, Nuclear medicine, business, body temperature
Abstract: Accurately measuring body temperature in horses will improve the management of horses suffering from or being at risk of developing postrace exertional heat illness. PTSM has the potential for measuring body temperature accurately, safely, rapidly, and noninvasively. This study was undertaken to investigate the relation between the core body temperature and PTSM temperatures prior to, during, and immediately after exercise. The microchips were implanted into the nuchal ligament, the right splenius, gluteal, and pectoral muscles, and these locations were then compared with the central venous temperature, which is considered to be the &ldquo, gold standard&rdquo, for assessing core body temperature. The changes in temperature of each implant in the horses were evaluated in each phase (prior to, during, and immediately postexercise) and combining all phases. There were strong positive correlations ranging from 0.82 to 0.94 (p &lt, 0.001) of all the muscle sites with the central venous temperature when combining all the phases. Additionally, during the whole period, PTSM had narrow limits of agreement (LOA) with central venous temperature, which inferred that PTSM is essentially equivalent in measuring horse body temperature. Overall, the pectoral PTSM provided a valid estimation of the core body temperature.
Published: 2020

21. Prevalence and Factors Associated with Respiratory Symptoms Among Bahir Dar Textile Industry Workers, Amhara Region, Ethiopia

Author: Solomon Meseret Woldeyohannes, Brhane Gebremariam, Kasahun Alemu, and Manay Kifle
Subjects: lcsh:GE1-350, Textile industry, business.industry, Health, Toxicology and Mutagenesis, lcsh:Public aspects of medicine, Textile production, Public Health, Environmental and Occupational Health, Developing country, lcsh:RA1-1270, Management, Monitoring, Policy and Law, Pollution, Work environment, 03 medical and health sciences, Respiratory symptom, 0302 clinical medicine, 030228 respiratory system, Ethiopia, 030212 general & internal medicine, textile industry, Socioeconomics, business, lcsh:Environmental sciences, Original Research
Abstract: Introduction: The expansions of labor-intensive investments in a developing countries, especially in textile production create a dusty work environment for workers, and those workers are from the low socio-economic group and need special safety concern. Objective: This study was aimed at assessing the prevalence of respiratory symptoms and associated factors among textile factories workers in Bahir Dar, Amhara region, Ethiopia, 2015. Methods: Institutional based cross-sectional study design was employed among randomly selected 384 textile workers using pre-tested interviewer-administered questionnaire. We stratified workers by their working section in the textile industries. Then the proportional numbers of workers were selected from each working section of the factory by using a random number generator. The identification number of workers from each factory was used for selection. The data were checked, coded, and entered to Epi-info Version 7 and exported to the Statistical Package for Social Science Version 20 for further analysis. Both bivariate and multivariate logistic regressions were used to identify associated factors. Variables having a P ⩽ .2 were fitted to multivariate logistic regression so as to assess the presence and strength of association with the respiratory symptom. Variables having a P Results: Three hundred eighty-three (99.74%) of the study participants responded completely filling the questionnaire. In this study, the prevalence of cough, phlegm, bronchitis, chronic bronchitis, and chest pain among the respondents were 31 (8.1%), 45 (11.7%), 26 (6.8%), 2 (0.5%), and 21 (5.5%), respectively. Generally, 141 (36.81%) of the respondents have either of the above respiratory symptoms in the textile industry. Working in the spinning section (AOR = 3.26, 95% CI: 1.80, 5.89), being in the grade 11 and 12 level and below (AOR = 2.36, 95% CI: 1.50, 3.70) and personal protective equipment (PPE) utilization (AOR = 4.88 95% CI: 1.54-15.45) were significantly associated with respiratory symptoms in the multivariate analysis. Conclusion: The prevalence of respiratory symptoms in Bahir Dar Textile workers was relatively high. Working department, educational status, and PPE use were variables significantly associated with respiratory symptoms in this study. Experience sharing across departments, employing educated workers and provision of personal protective equipment are important tasks to be followed to reduce respiratory symptoms in the industry.
Published: 2020

22. Appraising the Welfare of Thoroughbred Racehorses in Training in Queensland, Australia: The Incidence and Type of Musculoskeletal Injuries Vary between Two-Year-Old and Older Thoroughbred Racehorses

Author: Kylie L. Crawford, Solomon Meseret Woldeyohannes, Anna Finnane, Ristan M. Greer, Clive J. C. Phillips, Nigel R. Perkins, and Benjamin J. Ahern
Subjects: medicine.medical_specialty, thoroughbred, injury, media_common.quotation_subject, racehorse, Article, symbols.namesake, Internal medicine, Epidemiology, medicine, medicine.bone, Poisson regression, Prospective cohort study, neoplasms, media_common, musculoskeletal, General Veterinary, wastage, business.industry, Incidence (epidemiology), Dorsal metacarpal disease, digestive system diseases, Sesamoid bone, symbols, Animal Science and Zoology, epidemiology, Suspensory ligament desmitis, business, Welfare
Abstract: Musculoskeletal injuries (MSI) remain a concerning cause of racehorse morbidity and mortality with important ethical and welfare consequences. Previous research examining risk factors for MSI report inconsistent findings. Age is thought to affect MSI risk, but, to date, there have been no prospective studies comparing MSI in two-year-old versus older horses. This study aimed to: (1) determine the incidence of MSI for two-year-old and older horses, and whether this was affected by training track, season, or rainfall, and (2) determine the types of MSI affecting two-year-old and older horses, and whether horses trialled or raced after injury. A prospective survey was conducted with data collected through personal structured weekly interviews with participating trainers over a 13-month period. Data were analysed using Poisson regression. The incidence of MSI in the current study was low (0.6%). The incidence of MSI in two-year-old horses was higher than older horses (p &lt, 0.001). Types of MSI varied between two-year-old and older horses (p &lt, 0.001) and affected whether horses subsequently trailed or raced from 11 to 23 months after injury (p &lt, 0.001). A larger proportion of two-year-old horses had dorsal metacarpal disease and traumatic lacerations. A smaller proportion of two-year-old horses had suspensory ligament desmitis, superficial digital flexor tendonitis, proximal sesamoid bone fractures, and fetlock joint injuries than older horses. Training track and rainfall did not affect MSI. The season affected MSI in two-year-old horses (p &lt, 0.001) but not older horses. The major limitation was that trainers in this study were metropolitan (city) and our findings may not be generalisable to racehorses in regional (country) areas. Another significant limitation was the assumption that MSI was the reason for failure to trial or race after injury. In conclusion, the incidence of MSI was low in the current study and the types and the risk factors for MSI are different for two-year-old and older horses.
Published: 2020

23. Prevalence and spatial distribution of Coxiella burnetii seropositivity in northern Australian beef cattle adjusted for diagnostic test uncertainty

Author: John I. Alawneh, Justine S. Gibson, Sarah Tozer, Caitlin Wood, Simon M. Firestone, Solomon Meseret Woldeyohannes, Michael McGowan, Wesley O. Johnson, Nigel R. Perkins, and Tamsin S. Barnes
Subjects: Veterinary medicine, 040301 veterinary sciences, Cattle Diseases, Q fever, Enzyme-Linked Immunosorbent Assay, Biology, Beef cattle, Spatial distribution, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Food Animals, Seroepidemiologic Studies, Grazing, medicine, Northern Territory, Prevalence, Animals, 030212 general & internal medicine, 2. Zero hunger, Diagnostic Tests, Routine, Uncertainty, Diagnostic test, Bayes Theorem, 04 agricultural and veterinary sciences, Coxiella burnetii, biology.organism_classification, medicine.disease, Antibodies, Bacterial, 3. Good health, Animal Science and Zoology, Cattle, Queensland, Q Fever
Abstract: Q fever is a zoonotic disease caused by infection with Coxiella burnetii transmitted from animals including, but not limited to, cattle, sheep and goats. The infection in cattle is typically sub-clinical with some evidence suggesting associated reproductive loss. There is currently limited data on the true prevalence and distribution of coxiellosis in beef cattle across northern Australia. During this study, 2,012 sera samples from beef cattle managed on commercial farms located in Queensland and the Northern Territory were tested using an indirect immunofluorescent assay (IFA) for serological evidence of IgG antibodies against C. burnetii. Bayesian latent class models were used to estimate the true prevalence, adjusted for diagnostic test sensitivity and specificity and incorporating the hierarchical structure of the cattle within farms and regions. In this study, cattle in the Northern Territory had lower estimated true prevalence than cattle within most regions of Queensland with the exception of south-east Queensland. Results from this study have described the geographic distribution and estimated the true prevalence of antibodies to C. burnetii in a sample of extensively managed beef cattle located across the tropical grazing regions of northern Australia.
Published: 2020

24. Seroprevlance of Coxiella burnetii among abattoir and slaughterhouse workers: A meta-analysis

Author: Nigel R. Perkins, Charles F. Gilks, Simon Reid, Peter Baker, and Solomon Meseret Woldeyohannes
Subjects: 0301 basic medicine, lcsh:R5-920, biology, business.industry, 030106 microbiology, Public Health, Environmental and Occupational Health, Outbreak, Q fever, Coxiella burnetii, biology.organism_classification, medicine.disease, Occupational safety and health, Serology, Vaccination, 03 medical and health sciences, Infectious Diseases, Meta-analysis, Environmental health, medicine, Seroprevalence, business, lcsh:Medicine (General)
Abstract: Q fever caused by the gram negative bacteria, Coxiella burnetii, is an occupational hazard for those who live and work in rural settings and those who are in contact with animals, especially abattoir and slaughterhouse workers. Australia is the only country to register a vaccine to prevent Q fever (Q-vax®, Seqirus, Australia) that is used in high risk populations. Seroprevalence studies conducted to determine the burden of Q fever (C. burnetii infection) in different settings have demonstrated high levels of heterogeneity with estimates of the percent positive ranging from 30% to 70%. There is a need for a more systematic evaluation of the findings of these studies in order to provide summary estimates of the seroprevalence in different settings.We searched for published articles using PubMed, MEDLINE-EMBASE, and Scopus databases using search terms obtained from an initial review of published reports of recent Q fever outbreaks. Data on the seroprevalence of C. burnetii infection (Q fever) was extracted from the selected studies and a random effects meta-analysis was performed with stratification by outbreak status, year, country and serological techniques used. Results were visualised with a forest plot with 95% CI and measures of heterogeneity (I2) for the random effects model.A total of 19 articles that met the search criteria were included. The reported seroprevalence rate ranged from 4.7% to 91.7% among abattoir and slaughterhouse workers. No inter-group heterogeneity was observed (p = 0.956), supporting the pooling of all studies into one pooled measure. The pooled estimate of seropositivity for C. burnetii infection in people working in abattoirs and slaughterhouses was 26% (95% CI: 18–35%) regardless of the evidence of an “outbreak”, the time of year or country. Seropositivity for C burnetii was independent of a person's age and years of occupational experience. Within abattoirs and slaughterhouses, slaughtering of cattle, sheep and goats are the most important risk factors associated with seropositivity and for those who showed over symptoms upon infection.We recommend that vaccination programmes are directed towards people employed in the meat processing industry to mitigate the significant health and economic impacts of Q fever. Keywords: Q fever, Coxiella burnetii, Abattoir, Slaughterhouse, Butcher, Meta-analysis
Published: 2018

25. Damp housing, gas stoves, and the burden of childhood asthma in Australia

Author: Guy B. Marks, Solomon Meseret Woldeyohannes, Luke D. Knibbs, and Christine T. Cowie
Subjects: Male, Adolescent, Population, Natural Gas, 010501 environmental sciences, Risk Assessment, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Environmental health, Prevalence, medicine, Humans, 030212 general & internal medicine, Child, education, Environmental medicine, 0105 earth and related environmental sciences, Asthma, education.field_of_study, Childhood asthma, business.industry, Australia, Fungi, Humidity, General Medicine, medicine.disease, Gas stoves, Air Pollution, Indoor, Stove, Housing, Female, Energy source, business, Risk assessment
Abstract: To determine the proportion of the national childhood asthma burden associated with exposure to dampness and gas stoves in Australian homes. Comparative risk assessment modelling study. Setting, participants: Australian children aged 14 years or less, 2011. The population attributable fractions (PAFs) and number of disability-adjusted life years (DALYs) for childhood asthma associated with exposure to damp housing and gas stoves. 26.1% of Australian homes have dampness problems and 38.2% have natural gas as the main energy source for cooktop stoves. The PAF for childhood asthma attributable to damp housing was 7.9% (95% CI, 3.2-12.6%), causing 1760 disability-adjusted life years (DALYs; 95% CI, 416-3104 DALYs), or 42 DALYs/100 000 children. The PAF associated with gas stoves was 12.3% (95% CI, 8.9-15.8%), corresponding to 2756 DALYs (95% CI, 1271-4242), or 67 DALYs/100 000 children. If all homes with gas stoves were fitted with high efficiency range hoods to vent gas combustion products outdoors, the PAF and burden estimates were reduced to 3.4% (95% CI, 2.2-4.6%) and 761 DALYs (95% CI, 322-1199). Exposure to damp housing and gas stoves is common in Australia, and is associated with a considerable proportion of the childhood asthma burden. Strategies for reducing exposure to indoor dampness and gas combustion products should be communicated to parents of children with or at risk of asthma.
Published: 2018
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26. Measurement of Tissue Oximetry in Standing Unsedated and Sedated Horses

Author: Solomon Meseret Woldeyohannes, Wendy Goodwin, Albert Sole Guitart, and Nicholas R. Cowling
Subjects: tissue oximetry, Sartorius muscle, General Veterinary, near infrared spectroscopy, Critically ill, business.industry, Veterinary medicine, Sedation, Horse, Muscle belly, Medetomidine, Article, horse, Peripheral, sedation, Anesthesia, SF600-1100, medicine, Tissue oxygen, medicine.symptom, business, medicine.drug
Abstract: Near infrared spectroscopy (NIRS) noninvasively measures peripheral tissue oxygen saturation (StO2) and may be useful to detect early changes in StO2 in anaesthetized and critically ill horses. This study aimed to identify the muscle belly that provided the highest percentage of successful StO2 readings and the highest mean StO2 value. Fifty adult horses were enrolled in a prospective controlled study. StO2 was measured at six different muscles in each horse, for each intervention: hair overlying the muscle was clipped (post clipping: PC), clipped skin was cleaned with chlorhexidine (post-surgical prepping: PP) and medetomidine was administered intravenously (post medetomidine: PM). Mean StO2 values were calculated for each muscle, and a linear effects model was used to assess the effect of muscle group and intervention on StO2. The sartorius muscle gave the highest percentage of successful StO2 values (p &lt, 0.001) and the highest mean (90% CI) StO2 values for the PC, PP and PM interventions. Surgical prepping of the skin increased the success for measurement of StO2 values. For all muscles, administration of medetomidine was associated with lower StO2 values (p &lt, 0.001). In conclusion, of the muscles examined, the sartorius muscle may be the preferred muscle to measure StO2 in horses, and clipping and cleaning of the probe placement site is recommended.
Published: 2021
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27. Global health security and universal health coverage: Understanding convergences and divergences for a synergistic response

Author: Remco van de Pas, Charles F. Gilks, Simon Reid, Wim Van Damme, Yibeltal Assefa, Peter S. Hill, and Solomon Meseret Woldeyohannes
Subjects: Male, Economic growth, Index (economics), Epidemiology, Maternal Health, Declaration, Primary health care, Cancer Treatment, Social Sciences, Global Health, 0302 clinical medicine, Medical Conditions, Universal Health Insurance, SAFER, Global health, Medicine and Health Sciences, Public and Occupational Health, National Security, 030212 general & internal medicine, Child, Health Systems Strengthening, Multidisciplinary, Public economics, Child Health, One Health, Infectious Diseases, Oncology, Medicine, Female, Negative correlation, hormones, hormone substitutes, and hormone antagonists, Healthcare system, Research Article, medicine.medical_specialty, National security, Political Science, Science, 030231 tropical medicine, International Health Regulations, 03 medical and health sciences, Political science, medicine, Humans, Noncommunicable Diseases, Health Care Policy, business.industry, Public health, Health Care, Medical Risk Factors, Health Expenditures, business
Abstract: Background Global health security (GHS) and universal health coverage (UHC) are key global health agendas which aspire for a healthier and safer world. However, there are tensions between GHS and UHC strategy and implementation. The objective of this study was to assess the relationship between GHS and UHC using two recent quantitative indices. Methods We conducted a macro-analysis to determine the presence of relationship between GHS index (GHSI) and UHC index (UHCI). We calculated Pearson’s correlation coefficient and the coefficient of determination. Analyses were performed using IBM SPSS Statistics Version 25 with a 95% level of confidence. Findings There is a moderate and significant relationship between GHSI and UHCI (r = 0.662, p0.05). The risk of GHS threats a significant and negative correlation with the capacity for GHS (r = -0.604, p Conclusion The aspiration for GHS will not be realized without UHC; hence, the tension between these two global health agendas should be transformed into a synergistic solution. We argue that strengthening the health systems, in tandem with the principles of primary health care, and implementing a “One Health” approach will progressively enable countries to achieve both UHC and GHS towards a healthier and safer world that everyone aspires to live in.
Published: 2020

28. The epidemiology of Q fever in Queensland, Australia and effectiveness of vaccination for prevention

Author: Solomon Meseret Woldeyohannes
Subjects: Pediatrics, medicine.medical_specialty, education.field_of_study, biology, business.industry, Incidence (epidemiology), Public health, Population, Q fever, Coxiella burnetii, biology.organism_classification, medicine.disease, Vaccination, Epidemiology, medicine, education, business, Vaccine failure
Abstract: Q fever, caused by the small obligate intracellular, gram-negative pathogenic bacterium Coxiella burnetii, is primarily an occupationally-acquired zoonotic disease most commonly reported in people working in the livestock and meat industries who have direct or indirect contact with infected animals. The main preventive tool for Q fever is a vaccine (Q-VAX®, Seqirus, Australia) that is recognised to be highly effective and providing long lasting protection. Its implementation requires pre-vaccination screening tests using serology and skin tests conducted in parallel. This is because the vaccine has more side effects in persons who have already had the disease Q fever, so testing for prior immunity is necessary before vaccination to avoid unwanted vaccine side effects. However, outbreaks of Q fever continue to be recorded in abattoirs and Q fever continues to be an important public health issue in Australia. The incidence of Q fever remains high especially in Queensland and New South Wales (NSW) though there is good evidence of improved Q fever control as a result of the implementation of the Q fever vaccination program. There is evidence that the Q fever vaccination has not been fully implemented because of the high incidence of Q fever among individuals targeted by past vaccination program.Therefore, this PhD thesis was mainly intended to assess the overall effectiveness of the Q fever vaccination program, and the associated Q fever notification and hospital admission rates, and the most risky exposures for the occurrence of Q fever in Queensland, Australia. Chapter 1 presents a literature review on Q fever at global and Australia levels. In chapter 2, I conducted a systematic review and meta-analysis on the seroprevalence of Q fever. Chapter 3 addresses estimation of vaccine failure rate and duration of immunity for Q fever using Cox proportional hazard model. I then explicitly addressed the accuracy of the Q fever pre-screening test using Bayesian latent class analysis in chapter 4. In chapter 5, I assessed the demographic and vaccination status factors associated with the incidence of Q fever infection using a case control design. In chapter 6, I modelled the rate of Q fever notification and hospitalization, and identified the associated factors using Poisson and Negative Binomial regression models. In chapter 7, I conducted a risk assessment using the enhanced Q fever exposure surveillance data using multiple correspondence analysis (MCA) technique. Finally, chapter eight highlight key findings, discuss them, and summarize the thesis.In summary, the results presented in this Thesis, address the knowledge gap regarding the incidence of Q fever in vaccinated individuals and the duration of immunity of the Q fever vaccine and the accuracy of the pre-screening tests thereby addressing the overall effectiveness of the Q fever vaccination program and the resulting Q fever notification and admission rates in the Queensland. It presents evidence of the protective effect of being vaccinated using the Q fever vaccine and longer duration of immunity of the vaccine though non-adherence to the vaccination protocol was observed. In addition, it also presents evidence of reduction of the Q fever notification and admission rates as a result of the implementation of the Q fever vaccination program. Moreover, being exposed to paddock dust, working with wool, assisting and observing animal birth, and working in shearing and shed were foudnd to be the most risky exposures. Working inside abattoir, having abattoir exposure, being previously screened and vaccinated for Q fever were the second risky exposures for Q fever.The greater incidence observed in unvaccinated individuals considered immune during the pre-vaccination screening may suggest that pre- vaccination screening is sub-optimal among this study population. Hence, a greater awareness of these issues among medical practitioners may help better protect all workers at risk of Q fever. Targeted Q fever screening and vaccination should be maintained in order to help lower the burden of Q fever in the study population. We recommend using serological tests for pre-vaccination screening in this high risk population (i.e., phase out skin test). Moreover, re-thinking and revitalizing of government sponsored/funded Q fever vaccination program is implicated. Furthermore, future, investigation of the distribution of the Q fever vaccination services within each of the public health units and its role in mitigating the burden of Q fever is indicated. The need for personal protective equipment, such as fine dust masks (N95), should be considered as an adjunct to compulsory Q fever vaccination to protect workers in high risk occupations.
Published: 2019
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29. The Risk Factors for Musculoskeletal Injuries in Thoroughbred Racehorses in Queensland, Australia: How These Vary for Two-Year-Old and Older Horses and with Type of Injury

Author: Solomon Meseret Woldeyohannes, Benjamin J. Ahern, Kylie L. Crawford, Ristan M. Greer, Nigel R. Perkins, Clive J. C. Phillips, Lisa Kidd, and Anna Finnane
Subjects: medicine.medical_specialty, musculoskeletal injury, thoroughbred, Population, racehorse, Article, Odds, Internal medicine, lcsh:Zoology, Epidemiology, medicine, lcsh:QL1-991, education, education.field_of_study, lcsh:Veterinary medicine, wastage, General Veterinary, business.industry, Training level, Horse, Odds ratio, medicine.disease, Confidence interval, Musculoskeletal injury, lcsh:SF600-1100, epidemiology, Animal Science and Zoology, business
Abstract: Musculoskeletal injuries (MSI) continue to affect Thoroughbred racehorses internationally. There is a strong interest in developing training and management strategies to reduce their impact, however, studies of risk factors report inconsistent findings. Furthermore, many injuries and fatalities occur during training rather than during racing, yet most studies report racing data only. By combining racing and training data a larger exposure to risk factors and a larger number of musculoskeletal injuries are captured and the true effect of risk factors may be more accurately represented. Furthermore, modifications to reduce the impact of MSI are more readily implemented at the training level. Our study aimed to: (1) determine the risk factors for musculoskeletal injuries and whether these are different for two-year-old and older horses and (2) determine whether risk factors vary with type of injury. This was performed by repeating analyses by age category and injury type. Data from 202 cases and 202 matched controls were collected through weekly interviews with trainers and analysed using conditional logistic regression. Increasing dam parity significantly reduced the odds of injury in horses of all age groups because of the effect in two-year-old horses (odds ratio (OR) 0.08, 95% confidence interval (CI) 0.02, 0.36, p &lt, 0.001). Increasing total preparation length is associated with higher odds of injury in horses of all ages (OR 5.56, 95% CI 1.59, 19.46, p = 0.01), but particularly in two-year-old horses (OR 8.05, 95% CI 1.92, 33.76, p = 0.004). Increasing number of days exercised at a slow pace decreased the odds of injury in horses of all ages (OR 0.09, 95% CI 0.03, 0.28, 0.001). The distance travelled at three-quarter pace and above (faster than 13 m/s, 15 s/furlong, 800 m/min, 48 km/h) and the total distance travelled at a gallop (faster than 15 m/s, 13 s/furlong, 900 m/min, 55 km/h) in the past four weeks significantly affected the odds of injury. There was a non-linear association between high-speed exercise and injury whereby the odds of injury initially increased and subsequently decreased as accumulated high-speed exercise distance increased. None of the racing career and performance indices affected the odds of injury. We identified horses in this population that have particularly high odds of injury. Two-year-old horses from primiparous mares are at increased odds of injury, particularly dorsal metacarpal disease. Two-year-old horses that have had a total preparation length of between 10 and 14 weeks also have increased odds of injury. Horses of all ages that travelled a total distance of 2.4–3.8 km (12–19 furlongs) at a gallop in the last four weeks and horses three years and older that travelled 3.0–4.8 km (15–24 furlongs) at three-quarter pace and above also have increased odds of injury. We recommend that these horses should be monitored closely for impending signs of injury. Increasing the number of days worked at a slow pace may be more effective for preventing injury, if horses are perceived at a higher risk, than resting the horse altogether. Early identification of horses at increased risk and appropriate intervention could substantially reduce the impact of musculoskeletal injuries in Thoroughbred racehorses.
Published: 2021
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30. Appraising the Welfare of Thoroughbred Racehorses in Training in Queensland, Australia: The Incidence, Risk Factors and Outcomes for Horses after Retirement from Racing

Author: Kylie L. Crawford, Ristan M. Greer, Benjamin J. Ahern, Nigel R. Perkins, Clive J. C. Phillips, Solomon Meseret Woldeyohannes, and Anna Finnane
Subjects: lcsh:Veterinary medicine, General Veterinary, thoroughbred, Trainer, business.industry, Incidence (epidemiology), media_common.quotation_subject, racehorse, Affect (psychology), Logistic regression, Article, retirement repurpose, Odds, welfare, Turnover, lcsh:Zoology, lcsh:SF600-1100, Medicine, Animal Science and Zoology, lcsh:QL1-991, Prospective cohort study, business, Welfare, Demography, media_common
Abstract: There is international public concern regarding retirement of racehorses, including the reason for retirement and the outcome for horses after racing. However, there are currently no prospective studies investigating these factors. A recent independent inquiry in Queensland, Australia, highlighted that the true outcomes for horses after retirement from racing are largely unknown. Furthermore, there are currently no measures to monitor the outcome for racehorses and their welfare once they have left the care of the trainer. This study investigated these gaps in knowledge through a weekly survey conducted over a 13-month period. We aimed to evaluate: (1) the incidence of retirement, (2) the reasons and risk factors for retirement and (3) the medium-term (greater than 6 months) outcomes for horses after retirement. Data were collected through personal structured weekly interviews with participating trainers and analysed using negative binomial and logistic regression. There was a low incidence of retirements, namely 0.4% of horses in training per week. The season and training track did not affect the incidence of retirement. Musculoskeletal injuries were the most common reason for retirement (40/110 horses, 36%). Involuntary retirements accounted for 56/100 (51%) of retirements, whereby musculoskeletal injuries, respiratory or cardiac conditions and behavioural problems prevented the horse from racing The odds of voluntary retirement, whereby the horse was retired due to racing form or impending injury, increased with each additional race start (OR 1.05, p = 0.01) and start/year of racing (OR 1.21, p = 0.03) but decreased with increasing percentage of first, second and third places (OR 0.94, p &lt, 0.001). Medium-term follow-up (median 14 months, IQR 11, 18, range 8&ndash, 21) revealed that most horses (108/110, 98%) were repurposed after retirement, almost half as performance horses (50/110, 46%). Horses that voluntarily retired had 2.28 times the odds of being repurposed as performance horses than those retired involuntarily (p = 0.03). Whether retirement was voluntary or involuntary did not influence whether horses were used for breeding or pleasure. The primary limitation of this study is that our results reflect retirement in racehorses in South East Queensland, Australia, and may not be globally applicable. Furthermore, we were unable to monitor the long-term outcome and welfare of horses in their new careers. It is vital that the industry is focused on understanding the risks for voluntary rather than involuntary retirement and optimising the long-term repurposing of horses. There is a need for traceability and accountability for these horses to ensure that their welfare is maintained in their new careers.
Published: 2021
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31. 3-month daily rifampicin and isoniazid compared to 6- or 9-month isoniazid for treating latent tuberculosis infection in children and adolescents less than 15 years of age: an updated systematic review

Author: Yibeltal Assefa, Haileyesus Getahun, Yohhei Hamada, Yalemzewod Assefa, and Solomon Meseret Woldeyohannes
Subjects: Pulmonary and Respiratory Medicine, medicine.medical_specialty, Adolescent, MEDLINE, Antitubercular Agents, Drug Administration Schedule, 03 medical and health sciences, 0302 clinical medicine, Pharmacotherapy, Latent Tuberculosis, 030225 pediatrics, Internal medicine, medicine, Isoniazid, Humans, 030212 general & internal medicine, Child, Agora, Latent tuberculosis, business.industry, medicine.disease, bacterial infections and mycoses, Research Letters, Regimen, Drug Therapy, Combination, Rifampin, business, Rifampicin, medicine.drug
Abstract: One-third to one-quarter of the world's population is estimated to have latent tuberculosis infection (LTBI) [1]. These infected persons are at risk for developing active disease with a lifetime risk of reactivation estimated to be 5–10% [2]. Prevention of reactivation of LTBI in population groups with higher risk of progression to active disease than the general population, is critical to end the global TB epidemic [3]., Treatment of latent tuberculosis infection in children with a 3-month daily rifampicin and isoniazid regimen is safe with better compliance, adherence and completion rate than a 6- or 9-month isoniazid monotherapy http://ow.ly/x28Z30jDfCE
Published: 2018

32. Goiter and its associated factors among primary school children aged 6-12 years in Anchar district, Eastern Ethiopia

Author: Muktar, Muzemil, primary, Roba, Kedir Teji, additional, Mengistie, Bezatu, additional, Gebremichael, Berhe, additional, Tessema, Adamu Belay, additional, and Kebede, Meseret Woldeyohannes, additional
Published: 2019
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33. Minimizing Bioavailability of Fluoride through Addition of Calcium-magnesium Citrate or a Calcium and Magnesium-containing Vegetable to the Diets of Growing Rats

Author: Cherinet Abuye, Melkitu Kassaw, Nigussie Retta, Meseret Woldeyohannes, Aweke Kebede, Susan J. Whiting, Tesfaye Zeru, and Marian K. Malde
Subjects: Magnesium, chemistry.chemical_element, General Medicine, 010501 environmental sciences, Calcium, 01 natural sciences, Bioavailability, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Calcium magnesium, chemistry, 030212 general & internal medicine, Food science, Fluoride, 0105 earth and related environmental sciences
Published: 2016
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34. Antiepileptic Drug Nonadherence and Its Predictors among People with Epilepsy

Author: Asmamaw Getnet, Solomon Yimer, Solomon Meseret Woldeyohannes, Amsalu Belete, Tesfa Mekonen, Lulu Bekana, Habte Belete, Adisu Assaye, Melak Menberu, and Wubalem Fekadu
Subjects: Adult, Male, medicine.medical_specialty, Article Subject, Cross-sectional study, Antiepileptic drug, MEDLINE, Medication adherence, Neurosciences. Biological psychiatry. Neuropsychiatry, Logistic regression, Medication Adherence, Poor adherence, 03 medical and health sciences, Epilepsy, Social support, 0302 clinical medicine, Surveys and Questionnaires, Internal medicine, Prevalence, Humans, Medicine, 030212 general & internal medicine, Psychiatry, business.industry, General Medicine, Middle Aged, medicine.disease, Cross-Sectional Studies, Neuropsychology and Physiological Psychology, Neurology, Patient Compliance, Anticonvulsants, Female, Ethiopia, Neurology (clinical), business, 030217 neurology & neurosurgery, Research Article, Forecasting, RC321-571
Abstract: Introduction. Antiepileptic drugs are effective in the treatment of epilepsy to the extent that about 70% of people with epilepsy can be seizure-free, but poor adherence to medication is major problem to sustained remission and functional restoration. The aim of this study was to assess the prevalence and associated factors of antiepileptic drug nonadherence. Methods. Cross-sectional study was conducted on 450 individuals who were selected by systematic random sampling method. Antiepileptic drug nonadherence was measured by Morisky Medication Adherence Scale (MMAS) and logistic regression was used to look for significant associations. Result. The prevalence of AEDs nonadherence was 37.8%. Being on treatment for 6 years and above [AOR = 3.47, 95% CI: 1.88, 6.40], payment for AEDs [AOR = 2.76, 95% CI: 1.73, 4.42], lack of health information [AOR = 2.20, 95% CI: 1.41,3.43], poor social support [AOR = 1.88, 95%, CI: 1.01, 3.50], perceived stigma [AOR = 2.27, 95% CI: 1.45, 3.56], and experience side effect [AOR = 1.70, 95% CI: 1.06, 2.72] were significantly associated with antiepileptic drug nonadherence. Conclusion. More than one-third of people with epilepsy were not compliant with their AEDs. Giving health information about epilepsy and its management and consequent reduction in stigma will help for medication adherence.
Published: 2016
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35. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

Author: Yong Zhao, Hadi Danawi, Bach Xuan Tran, Gene Bukhman, Vasiliki Stathopoulou, Taavi Tillmann, Nelson Alvis-Guzman, Yongmei Li, Jerry Puthenpurakal Abraham, Sudan Prasad Neupane, Jack Caravanos, Ben Schöttker, Rafael Lozano, Damian G Hoy, Yoshihiro Kokubo, Nicholas J K Breitborde, Sergey Soshnikov, Yukito Shinohara, Randall V. Martin, Michael Brainin, Fernando Perez-Ruiz, Yingfeng Zheng, Santosh Mishra, Julio Cesar Montañez Hernandez, Michael Phillips, Belinda J. Gabbe, Hebe N. Gouda, Ziad A. Memish, Rupert R A Bourne, Guoqing Hu, Emmanuel A. Ameh, Abigail McLain, Michelle L. Bell, Christopher Margono, Marissa Iannarone, Wilkister N. Moturi, Donald H. Silberberg, Carl Abelardo T. Antonio, Nataliya Foigt, Anand Dayama, Yanping Wang, Amanda J. Mason-Jones, Bolajoko O. Olusanya, Monica S. Vavilala, Katherine B Gibney, David Tanne, Sidibe S Kany Roseline, Marcella Montico, Abhishek Singh, Sarah Derrett, Alireza Esteghamati, Seok Jun Yoon, Corine Karema, Rakhi Dandona, David M. Pereira, Kazem Rahimi, Gitanjali M. Singh, Vivekanand Jha, John Hornberger, Anne M. Riederer, Kathryn H. Jacobsen, Andrea Pedroza, Lily Alexander, Fiona M. Blyth, Tommi Vasankari, Kyle J Foreman, Rana J. Asghar, Tilahun Nigatu Haregu, Yousef Khader, Rafael Alfonso-Cristancho, Suzanne Barker-Collo, Lydia S. Atkins, Simerjot K. Jassal, Mohammad Ali Sahraian, Peter Scarborough, Hans W. Hoek, E. Ray Dorsey, Muluken Dessalegn, David C. Schwebel, Gavin Shaddick, Thomas D. Fleming, Mohammad Tavakkoli, Dorairaj Prabhakaran, Mohammad H. Forouzanfar, Christopher C. Mapoma, Jost B. Jonas, Erin C Mullany, Gene F. Kwan, Johanna M. Geleijnse, Antonio Luiz Pinho Ribeiro, Roberto Tchio Talongwa, Tolesa Bekele, Jed D. Blore, Gunn Marit Aasvang, Philimon Gona, Miguel Angel Alegretti, Babak Eshrati, Mitsuru Mukaigawara, Richard F. Gillum, Odgerel Chimed-Ochir, Ubai Alsharif, Richard C. Franklin, Felix Masiye, Richard T. Burnett, Sanjay Krishnaswami, Martin McKee, John J Huang, Lucía Cuevas-Nasu, Wagner Marcenes, Walid Ammar, Knud Juel, Joseph R. Zunt, Martha M Téllez Rojo, Mamta Swaroop, Noela M Prasad, Azmeraw T. Amare, Tim Driscoll, Michael Kravchenko, Heresh Amini, Amir Sapkota, Theo Vos, Charlotte Watts, Dennis Odai Laryea, D. Alex Quistberg, Justin Beardsley, Cheng Huang, Adnan M. Durrani, Sarah V Thackway, Rita Van Dingenen, Manami Inoue, Martha Híjar, Honglei Chen, Amany H. Refaat, Yichong Li, Vineet K. Chadha, Wenzhi Wang, Louisa Degenhardt, Kingsley N. Ukwaja, Nayu Ikeda, James D. Wilkinson, Linh N Bui, Maria Hagströmer, Gonghuan Yang, Ann Kristin Knudsen, David J. Margolis, Soewarta Kosen, Hans Kromhout, Atsushi Goto, Man Mohan Mehndiratta, Thomas N. Williams, Michael Soljak, Yun Jin Kim, Hideaki Toyoshima, Jeyaraj D Pandian, Borja del Pozo-Cruz, Soufiane Boufous, Ivy Shiue, Anders Larsson, Guilherme V. Polanczyk, John Powles, Yara A. Halasa, Robin Room, Ratilal Lalloo, Carolina Batis Ruvalcaba, Panniyammakal Jeemon, Elisabete Weiderpass, Jürgen Rehm, Ejaz Ahmad Khan, Alicia Aleman, Zacharie Tsala Dimbuene, Elena Alvarez, Rachelle Buchbinder, Randah R. Hamadeh, Bryan Hubbell, Sadaf G. Sepanlou, Farhad Islami, Costas A. Christophi, Heidi Stöckl, Ismael R. Campos-Nonato, Nigel Bruce, Edward J Mills, Samuel A L Perry, Taavi Lai, Baffour Awuah, Mete Saylan, Karen J. Courville, Arindam Basu, Vanessa De la Cruz-Góngora, Teresita González de Cosío, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Muluken Azage Yenesew, Atte Meretoja, Michael Brauer, Cyrus Cooper, Giorgia Giussani, Valentina S. Arsic Arsenijevic, Vasiliy Victorovich Vlassov, André Karch, Leilei Duan, Matthew M Coates, Omid Ameli, Gelin Xu, Matthias Endres, Ganesan Karthikeyan, Ione Jayce Ceola Schneider, Mohamed Hsairi, Palwasha Anwari, Mazin J. Al Khabouri, Dariush Mozaffarian, Juan R. Sanabria, Pablo M. Lavados, Sumeet S. Chugh, Johan Ärnlöv, Ivo Rakovac, Maurice Giroud, Haidong Kan, Ibrahim Abdelmageem Mohamed Ginawi, José Luis Texcalac-Sangrador, Luigi Naldi, Erica Leigh Slepak, Deena Alasfoor, James E. Saunders, Richard Matzopoulos, Talal Bakfalouni, Stein Emil Vollset, Andrea Werdecker, Lennert J. Veerman, Lorenzo Monasta, Henrica A. F. M. Jansen, Reyna A Gutiérrez, Brittany Wurtz, Luz Maria Sanchez, Lijing L. Yan, M. Patrice Lindsay, Michele Meltzer, Sanjay Basu, Steven van de Vijver, Alaa Badawi, Thomas Claßen, Young-Ho Khang, Brett M. Kissela, Jun Zhu, In-Hwan Oh, Fiona J Charlson, Maria Cecilia Bahit, Dinorah González-Castell, Rosario Cárdenas, Dan Poenaru, Sayed Saidul Alam, Mitchell T. Wallin, Harish Chander Gugnani, James Leigh, Ferrán Catalá-López, Lidia Morawska, Jim van Os, Stephanie J. London, Kaire Innos, Isabelle Romieu, Fiorella Cavalleri, Adrian Davis, Hwee Pin Phua, Chakib Nejjari, Héctor Gómez Dantés, Boris I. Pavlin, Karen Sliwa, Lynne Gaffikin, Constance D. Pond, Michael F. MacIntyre, Blake Thomson, Norberto Perico, Ronny Westerman, Samantha M. Colquhoun, Michael H. Criqui, Ana Maria Nogales Vasconcelos, Wubegzier Mekonnen, Bulat Idrisov, Ana Basto-Abreu, Andrew G. M. Bulloch, Jasvinder A. Singh, Vinod K. Paul, Emin Murat Tuzcu, Svetlana Popova, Hmwe H Kyu, Richard L. Guerrant, Mohammed I. Albittar, Srikanth Mangalam, Steven E. Lipshultz, Lela Sturua, Semaw Ferede Abera, Eduardo Bernabé, George D. Thurston, Bruno F. Sunguya, Tiffany Ku, Alejandra G. Contreras, Abdullah Sulieman Terkawi, Charles Atkinson, Ashkan Afshin, Heidi J. Larson, Abdullatif Husseini, Jose C. Adsuar, Reza Assadi, Ademola Lukman Adelekan, Joshua A. Salomon, Yousef M. Elshrek, Gokalp Kadri Yentur, Devina Nand, Narayanaswamy Venketasubramanian, Graça Maria Ferreira De Lima, Maheswar Satpathy, Fotis Topouzis, Traolach S. Brugha, Hywel C Williams, Coen H. Van Gool, Andrew H. Kemp, Awoke Misganaw, Amado D Quezada, Norito Kawakami, Bert Brunekreef, Peter Burney, Tati S. Warouw, Jongmin Lee, Inga Dora Sigfusdottir, Marcel Tanner, Solveig A. Cunningham, Benjamin O. Anderson, Tariku Jibat Beyene, Lars Barregard, Xia Wan, Giuseppe Remuzzi, Bernadette Thomas, Lilia S Pedraza, Massimo Cirillo, Alina Rodriguez, Ricky Leung, Farshad Pourmalek, K. Srinath Reddy, Charles D.A. Wolfe, Ulrich O Mueller, Neeraj Bedi, Al Artaman, Lucia Hernandez, Itamar S. Santos, C. Arden Pope, Norlinah Mohamed Ibrahim, Carlo Irwin A. Panelo, Selen Begüm Uzun, Miltiadis K. Tsilimbaris, Anwar Rafay, Daniel Dicker, Melvin Barrientos Marzan, Sajjad Ur Rahman, Mohammed O. Basulaiman, Edgar P. Simard, Mohammad T Mashal, Maysaa El Sayed Zaki, Shiwei Liu, Don C. Des Jarlais, Bo Norrving, Salvador Villalpando, Miia Kivipelto, Yang Liu, Carolina Maria Teixeira, Catalina Medina, Sudha Jayaraman, Josep Maria Haro, Diego De Leo, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Mukesh Dherani, Ljiljana Pejin Stokic, Vinay Nangia, Sukanta Saha, Juan Liang, Elisabeth Cardis, Zourkaleini Younoussi, José R Nogueira, Braden Te Ao, Vasco Manuel Pedro Machado, Lionel Racapé, Ting Wu Chuang, Shahab Khatibzadeh, E Filipa de Castro, Barthelemy Kuate Defo, Ulises Trujillo, Alan D. Lopez, Soraya Seedat, Lope H Barrero, Linhong Wang, Daniel Pope, Alexandra Brazinova, Faris Lami, Valentina Colistro, G Anil Kumar, Derek F J Fay, Haidong Wang, Hwashin H. Shin, Raimundas Lunevicius, Suzanne Polinder, Dietrich Plass, David Rojas-Rueda, Stephen S Lim, Tania G Sánchez-Pimienta, K.M. Venkat Narayan, Yuantao Hao, Jung-Chen Chang, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Luciano A. Sposato, Stan Biryukov, Kunihiro Matsushita, Beth E. Ebel, Cleusa P. Ferri, Soumya Swaminathan, K. Ryan Wessells, Gustavo Velasquez-Melendez, Leslie T. Cooper, David O. Carpenter, Nancy Lopez, Bryan L. Sykes, Sandra Nolte, Murray B. Stein, Paul N. Jensen, Fabiola Mejía-Rodríguez, Xiaonong Zou, Bradford D. Gessner, Dhruv S. Kazi, Dragos Virgil Davitoiu, Alejandra Jáuregui, Pouria Heydarpour, Megan Bohensky, Harvey Whiteford, Berrak Bora Basara, Zhengming Chen, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Nima Hafezi-Nejad, John Nelson Opio, Scott Weichenthal, Deborah Salvo, Jun She, Tea Lallukka, Carolyn C. Gotay, Stephen G. Waller, Christian Kieling, Shivanthi Balalla, Valery L. Feigin, Qing Lan, Matias Trillini, Adam D M Briggs, Sungroul Kim, Niveen M E Abu-Rmeileh, Renata Micha, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Zulfiqar A Bhutta, Paul S. F. Yip, Grant Nguyen, Ralph L. Sacco, Biju Abraham, Ken Takahashi, Jixiang Ma, Peter A. Meaney, Ayse Abbasoglu Ozgoren, Kimberly Cooperrider, M Rifat Kose, Shams Eldin Ali Hassan Khalifa, Rasmus Havmoeller, Alize J. Ferrari, Kebede Deribe, Nadim E. Karam, George A. Mensah, Bongani M. Mayosi, Konrad Pesudovs, Joanna Moschandreas, Ziad Nahas, James Damsere-Derry, Nsanzimana Sabin, Tonatiuh Barrientos-Gutiérrez, Ying Jiang, Andre Pascal Kengne, Peter Allebeck, Jonas Minet Kinge, Shankuan Zhu, Guy B. Marks, Daniel C Casey, Marco A Avila, Anna Roca, Lalit Dandona, Ami R. Moore, Adansi A. Amankwaa, David Gunnell, Andre Keren, Yohannes Adama Melaku, Nhung T Nguyen, Anthony D. Woolf, Mayuree Rao, Peter J. Allen, Christina Papachristou, Karzan Abdulmuhsin Mohammad, Ravi Kumar Balu, Marie Ng, Marcello Tonelli, Maziar Moradi-Lakeh, Maigeng Zhou, Emmanuela Gakidou, Mohammed K. Ali, Amanda W Pain, Dan J. Stein, Kawkab Shishani, Fortuné Gbètoho Gankpé, Howard J. Hoffman, James Scott, Nadine Steckling, Samia Alhabib, Deborah Jarvis, Kara Estep, Arsène Kouablan Adou, Ricardo Orozco, Holly Hagan, K. C. Astha, Reza Malekzadeh, Klara Dokova, Aliya Naheed, Ernst J. Kuipers, Valeria Caso, Derrick A Bennett, Andrea B. Feigl, Uche S. Uchendu, Holly E. Erskine, Shireen Sindi, Arjun Lakshmana Balaji, Francesco Saverio Violante, Monika Sawhney, Alejandra Cantoral, Ketevan Goginashvili, Raghib Ali, Fan Jiang, Robert G. Weintraub, Homie Razavi, Myriam Tobollik, Howard Hu, Emerito Jose A. Faraon, Irma Khonelidze, Patricia M. Riccio, Eun-Kee Park, Julio Cesar Campuzano, Ibrahim Abubakar, Jürgen C Schmidt, Konstantinos Stroumpoulis, Aref A. Bin Abdulhak, Graeme J. Hankey, Natan M. Bornstein, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Alanur Çavlin, Ruth W Kimokoti, Samir Soneji, Mark J. Nieuwenhuijsen, John Q. Wong, Joseph Frostad, Tom Achoki, Rahman Shiri, Ashish Bhalla, Kurt Straif, Simon I. Hay, Scott B. Patten, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Chandrashekhar T Sreeramareddy, Ryan M Barber, Rosana E. Norman, JianLi Wang, Siyi Shangguan, Luke Nyakarahuka, Kovin Naidoo, Charles D. H. Parry, Mercedes Colomar, H. Ross Anderson, Carlos Magis-Rodriguez, Joan M. Nolla, Muhammad Imran Nisar, Karen Devries, Andrew L. Thorne-Lyman, Denis Nash, Marape Marape, Rajiv Chowdhury, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Daniel Kim, Yuichiro Yano, Luke D. Knibbs, Margaret Robinson, Hilda L Harb, Rogelio Pérez-Padilla, Janet L Leasher, Jonathan L. Wright, Peter Brooks, Cristiana Abbafati, Belinda K Lloyd, Victor Aboyans, Nikhil Tandon, Charles R. Newton, Simón Barquera, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Glen Mola, Paulo A. Lotufo, Burcu Kucuk Bicer, Peggy Pei-Chia Chiang, Alexander Kraemer, Solomon Meseret Woldeyohannes, Saman Fahimi, Lesley Rushton, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Logan Sandar, Bruce Neal, Teresa Shamah Levy, Karen M. Tabb, Jeffrey A. Towbin, Christopher J L Murray, Ramesh Sahathevan, Aaron Cohen, Chanda Kulkarni, Van C. Lansingh, François Alla, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Uchechukwu K.A. Sampson, Rajeev Gupta, Neil Pearce, Mustafa Z. Younis, Veena S. Kulkarni, Francisco A García-Guerra, Amanda G. Thrift, Stefan Ma, Samaya Ismayilova, Evariste Gasana, Amitava Banerjee, Aslam Pervaiz, Emilie Agardh, Abraham D. Flaxman, Farshad Farzadfar, Peter W. Gething, Ileana Heredia-Pi, Boris Bikbov, Wanqing Chen, Saad B. Omer, Ruben Castro, Neeraj Bhala, Sara Sheikhbahaei, Hilton Lam, Urbano Fra Paleo, Lidia Sanchez-Riera, Alicia Elena Beatriz Lawrynowicz, Kristen Delwiche, Richard G. Ellenbogen, Max Petzold, Yuri Y Varakin, Guilherme Borges, Guohong Jiang, Francis Guillemin, Kyle R. Heuton, Yohannes Kinfu, Victoria F Bachman, Joseph A Wagner, Carlos A Castañeda-Orjuela, Leonardo Trasande, Abbas Ali Mahdi, Josef Coresh, Chuanhua Yu, Kenji Shibuya, Berrin Serdar, Laetitia Huiart, Xiaofeng Liang, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Natalie Stephens, Francis Apolinary Mhimbira, Jefferson Traebert, Amiran Gamkrelidze, Kjetil Søreide, Samath D Dharmaratne, Robert P. Dellavalle, George Mugambage Ruhago, Lakshmi Vijayakumar, Joannie Lortet-Tieulent, Dipan Bose, Tania C Aburto, Saleem M Rana, Miriam Levi, Mohammad Taghi Hedayati, Rodolfo S Pagcatipunan, Ron T. Gansevoort, H. D. Hosgood, Michael Burch, Mohsen Naghavi, Vegard Skirbekk, Ayfer Pekericli, Walter Mendoza, Pengpeng Ye, Gabrielle deVeber, Ali H. Mokdad, David M. Broday, Koranteng Adofo, Zewdie Aderaw Alemu, Shifalika Goenka, Carrie Beth Peterson, Nicolas J. C. Stapelberg, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Giancarlo Logroscino, Kardiyoloji, Peterson, Carrie B., Laboratoire de Physique des Solides (LPS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Wisconsin Division of Public Health, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), London South Bank University, Metropolitan Police Service, Hong Kong Baptist University (HKBU), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Insight Centre for Data Analytics [Galway] (INSIGHT), National University of Ireland [Galway] (NUI Galway), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Karolinska Institute, karolinska institute, Department of Molecular Biosciences, Department of Molecular Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Bristol], University of Bristol [Bristol], Universität Mannheim [Mannheim], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, University of Southampton, Imperial College London, Neurology Department, Ichilov Medical Center, Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Risk Assessment Sciences Institute, Utrecht University [Utrecht], Unité de Biologie Fonctionnelle et Adaptative (BFA (UMR_8251 / U1133)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Respiratory Epidemiology and Public Health, Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute [UK], CIBER de Epidemiología y Salud Pública (CIBERESP), STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Tennent Institute of Ophthalmology, National University of Singapore (NUS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Multidisciplinary Nanotechnology Centre, Swansea University, Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Genomics Research Center, Academia Sinica, Neuro Rehab Services LLP [New Delhi], Department of Signal Theory and Communications (TSC), Univ. Politec. de Catalunya, King‘s College London, Dept. Mat. Engn. De Ma, Sao Carlos, Fed. Univ. Sao Carlos UFSCar, RESPEC (RESPEC), RESPEC, Advanced Laboratories on Embedded Systems [Roma] (ALES), Department of Biology [Miami], University of Miami [Coral Gables], Health Care, Minister Of Labour-Ministry of Labor, Health and Social Affairs, Department of Nephrology, University Medical Center, University of Groningen, Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] (WUR), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], College of Medicine, University of Hail, Saudi Arabia, Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] (UPC), Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University-Shahid Beheshti University, Center for Applied Medical Research (CIMA), University of Tehran, Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), College of Precision Instrument and Optoelectronics Engineering, Tianjin University, George Washington University (GW), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universiteit Gent [Ghent], Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain (UCL), Fachbereich Physik [Berlin], Freie Universität Berlin, Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), Univ New Delhi, School of Physics and Astronomy, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center (TRDDC), TCS Innovation Labs, University of Helsinki, Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency (FOI), Servicio de Neurologia (SANTIAGO - Neurologie), Universidad del Desarrollo, Novartis Pharmaceutical Corporation, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Department of Health and Human Services, National Institutes of Health [Bethesda] (NIH), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), College of Information and Electrical Engineering [Beijing] (CIEE), China Agricultural University (CAU), Thales Research and Technology [Palaiseau], THALES, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École supérieure du professorat et de l'éducation - Académie de Grenoble [2013-2019] (ESPE Grenoble [2013-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], American University of Beirut [Beyrouth] (AUB), Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Mailman School of Public Health, Columbia University [New York], The Georges Institute for International Health, The University of Sydney, Department of epidemiology and Public Health, Faculty of Medicine, Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université de la Méditerranée - Aix-Marseille 2, Department of Neurology Lunds University Hospital Lund, Unit of Functional Bionanomaterials, School of Biosciences, University of Birmingham [Birmingham], Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], World Health Organization, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Nordic School of Public Health, The James Hutton Institute, Horia Hulubei National Institute for Physics and Nuclear Engineering, Department of Pediatrics, University of Washington [Seattle], Institute of Public Health, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Dept.of Computer Science, Indian Institute of Technology Madras (IIT Madras), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut geològic de Catalunya (IGC), Institut Geològic de Catalunya-IGC, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Politecnico di Milano [Milan] (POLIMI), Symantec, University of Oviedo, European Microsoft Innovation Center (EMIC), Microsoft Corporation [Redmond, Wash.], Technion - Israel Institute of Technology [Haifa], Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Department of Physics, Cavendish Laboratory, University of Cambridge [UK] (CAM), Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling (CMM), Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Universidade Federal de Pernambuco [Recife] (UFPE), Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute (NEST), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology (LICB), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] (LNCC / MCT), Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] (KTH ), NICTA [Eveleigh], National ICT Australia [Sydney] (NICTA), Division of Solid Mechanics, Lund University [Lund], University of Calgary, BioWare Corp, Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Imaging Sciences and Biomedical Engineering Division [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Physiology, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Neurorestoration Group, Wolfson Centre for Age-related Diseases-King‘s College London, Electronic Navigation Research Institute (ENRI), Ministry of Land, Infrastructure, Transport and Tourism, Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Centre for Undergraduate Studies, University of the Punjab, Siemens Corporate Research, Siemens AG [Munich], University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS), Department of Materials Science, Sichuan University [Chengdu] (SCU), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Shahid Beheshti University of Medical Sciences, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH)-Universidad del Desarrollo, Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), École supérieure du professorat et de l'éducation - Académie de Grenoble (ESPE Grenoble), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), California Institute of Technology (CALTECH)-NASA, Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), King‘s College London-Wolfson Centre for Age-related Diseases, Sichuan University, Universitat de Barcelona, Interne Geneeskunde, Medische Sociologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), RS: MHeNs - R2 - Mental Health, Laboratoire de Physique des Solides ( LPS ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de psychologie sociale et de psychologie cognitive ( LAPSCO ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Erosion torrentielle neige et avalanches ( UR ETGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Hong Kong Baptist University ( HKBU ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Insight Centre for Data Analytics (National University of Ireland Galway (NUIG)) ( INSIGHT ), Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), University of Oslo ( UiO ) -University of Oslo ( UiO ), Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Computational Science and Engineering Department [Daresbury] ( STFC ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], University of Southampton [Southampton], Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), University Medical Center Utrecht, Biologie Fonctionnelle et Adaptative ( BFA ), Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute, Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), National University of Singapore ( NUS ), Centre de Robotique ( CAOR ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Department of Signal Theory and Communications ( TSC ), RESPEC ( RESPEC ), Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Wageningen University and Research Centre [Wageningen] ( WUR ), Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale ( SESSTIM - U912 INSERM - AMU - IRD ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Université Catholique de Louvain ( UCL ), Freie Universität Berlin [Berlin], Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Tata Research Development and Design Center ( TRDDC ), Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Swedish Defense Research Agency ( FOI ), Servicio de Neurologia ( SANTIAGO - Neurologie ), Universidad de Santiago de Chile [Santiago] ( USACH ) -Universidad del Desarrollo, Novartis Pharmaceutical Corp., East Hanover NJ 07936, USA, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mechanical and Automation Engineering ( CAD Laboratory ), National Institutes of Health ( NIH ), Centre d'étude et de recherche en informatique et communications ( CEDRIC ), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise ( ENSIIE ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), College of Information and Electrical Engineering [Beijing] ( CIEE ), China Agricultural University ( CAU ), Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), École supérieure du professorat et de l'éducation - Académie de Grenoble ( ESPE Grenoble ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Grenoble Alpes ( UGA ), PennState University [Pennsylvania] ( PSU ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), American University of Beirut [Beyrouth], The University of Sydney [Sydney], Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Center for Research in Environmental Epidemiology ( CREAL ), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique ( INRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Indian Institute of Technology Madras ( IIT Madras ), Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Laboratoire de Génie Informatique et Ingénierie de Production ( LGI2P ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Institut geològic de Catalunya ( IGC ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physiologie et Génomique des Poissons ( LPGP ), Institut National de la Recherche Agronomique ( INRA ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Politecnico di Milano [Milan], European Microsoft Innovation Center ( EMIC ), Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Cambridge [UK] ( CAM ), Laboratoire de Probabilités et Modèles Aléatoires ( LPMA ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), London School of Hygiene and Tropical Medicine ( LSHTM ), University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife] ( UFPE ), Nanoscience Institute ( NEST ), Laboratory Of Immune Cell Biology ( LICB ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bonn Universität [Bonn], Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] ( LNCC / MCT ), Royal Institute of Technology [Stockholm] ( KTH ), National ICT Australia [Sydney] ( NICTA ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), Children’s Hospital of Philadelphia ( CHOP ), Univeristy of Pennsylvania Medical School, Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Medical College of Georgia, Electronic Navigation Research Institute ( ENRI ), Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), University of Massachusetts [Boston] ( UMass Boston ), Forouzanfar, Mohammad H, Alexander, Lily, Anderson, H. Ro, Bachman, Victoria F, Biryukov, Stan, Brauer, Michael, Burnett, Richard, Casey, Daniel, Coates, Matthew M, Cohen, Aaron, Delwiche, Kristen, Estep, Kara, Frostad, Joseph J, Kc, Astha, Kyu, Hmwe H, Moradi Lakeh, Maziar, Ng, Marie, Slepak, Erica Leigh, Thomas, Bernadette A, Wagner, Joseph, Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd Allah, Foad, Abera, Semaw F, Aboyans, Victor, Abraham, Biju, Abraham, Jerry Puthenpurakal, Abubakar, Ibrahim, Abu Rmeileh, Niveen M. E, Aburto, Tania C, Achoki, Tom, Adelekan, Ademola, Adofo, Koranteng, Adou, Arsène K, Adsuar, José C, Afshin, Ashkan, Agardh, Emilie E, Al Khabouri, Mazin J, Al Lami, Faris H, Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I, Alegretti, Miguel A, Aleman, Alicia V, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Ali, Mohammed K, Alla, Françoi, Allebeck, Peter, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Ameh, Emmanuel A, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Cunningham, Solveig Argeseanu, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J, Assadi, Reza, Atkins, Lydia S, Atkinson, Charle, Avila, Marco A, Awuah, Baffour, Badawi, Alaa, Bahit, Maria C, Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Balu, Ravi Kumar, Banerjee, Amitava, Barber, Ryan M, Barker Collo, Suzanne L, Barquera, Simon, Barregard, Lar, Barrero, Lope H, Barrientos Gutierrez, Tonatiuh, Basto Abreu, Ana C, Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O, Ruvalcaba, Carolina Bati, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Benjet, Corina, Bennett, Derrick A, Benzian, Habib, Bernabé, Eduardo, Beyene, Tariku J, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A, Bikbov, Bori, Abdulhak, Aref A. Bin, Blore, Jed D, Blyth, Fiona M, Bohensky, Megan A, Başara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M, Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J, Brenner, Hermann, Briggs, Adam D. M, Broday, David M, Brooks, Peter M, Bruce, Nigel G, Brugha, Traolach S, Brunekreef, Bert, Buchbinder, Rachelle, Bui, Linh N, Bukhman, Gene, Bulloch, Andrew G, Burch, Michael, Burney, Peter G. J, Campos Nonato, Ismael R, Campuzano, Julio C, Cantoral, Alejandra J, Caravanos, Jack, Cárdenas, Rosario, Cardis, Elisabeth, Carpenter, David O, Caso, Valeria, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chen, Honglei, Chen, Wanqing, Chen, Zhengming, Chiang, Peggy P, Chimed Ochir, Odgerel, Chowdhury, Rajiv, Christophi, Costas A, Chuang, Ting Wu, Chugh, Sumeet S, Cirillo, Massimo, Claßen, Thomas Kd, Colistro, Valentina, Colomar, Mercede, Colquhoun, Samantha M, Contreras, Alejandra G, Cooper, Cyru, Cooperrider, Kimberly, Cooper, Leslie T, Coresh, Josef, Courville, Karen J, Criqui, Michael H, Cuevas Nasu, Lucia, Damsere Derry, Jame, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Davis, Adrian, Davitoiu, Dragos V, Dayama, Anand, de Castro, E. Filipa, De la Cruz Góngora, Vanessa, De Leo, Diego, de Lima, Graça, Degenhardt, Louisa, Del Pozo Cruz, Borja, Dellavalle, Robert P, Deribe, Kebede, Derrett, Sarah, Jarlais, Don C. De, Dessalegn, Muluken, Deveber, Gabrielle A, Devries, Karen M, Dharmaratne, Samath D, Dherani, Mukesh K, Dicker, Daniel, Ding, Eric L, Dokova, Klara, Dorsey, E. Ray, Driscoll, Tim R, Duan, Leilei, Durrani, Adnan M, Ebel, Beth E, Ellenbogen, Richard G, Elshrek, Yousef M, Endres, Matthia, Ermakov, Sergey P, Erskine, Holly E, Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose A, Farzadfar, Farshad, Fay, Derek F. J, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed Mohammad, Ferrari, Alize J, Ferri, Cleusa P, Flaxman, Abraham D, Fleming, Thomas D, Foigt, Nataliya, Foreman, Kyle J, Paleo, Urbano Fra, Franklin, Richard C, Gabbe, Belinda, Gaffikin, Lynne, Gakidou, Emmanuela, Gamkrelidze, Amiran, Gankpé, Fortuné G, Gansevoort, Ron T, García Guerra, Francisco A, Gasana, Evariste, Geleijnse, Johanna M, Gessner, Bradford D, Gething, Pete, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim A. M, Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Dantes, Hector Gomez, Gona, Philimon, de Cosio, Teresita Gonzalez, González Castell, Dinorah, Gotay, Carolyn C, Goto, Atsushi, Gouda, Hebe N, Guerrant, Richard L, Gugnani, Harish C, Guillemin, Franci, Gunnell, David, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Hagan, Holly, Hagstromer, Maria, Halasa, Yara A, Hamadeh, Randah R, Hammami, Mouhanad, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Haregu, Tilahun Nigatu, Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I, Hedayati, Mohammad T, Heredia Pi, Ileana B, Hernandez, Lucia, Heuton, Kyle R, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W, Hoffman, Howard J, Hornberger, John C, Hosgood, H. Dean, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Hu, Howard, Huang, Cheng, Huang, John J, Hubbell, Bryan J, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa L, Iburg, Kim M, Idrisov, Bulat T, Ikeda, Nayu, Innos, Kaire, Inoue, Manami, Islami, Farhad, Ismayilova, Samaya, Jacobsen, Kathryn H, Jansen, Henrica A, Jarvis, Deborah L, Jassal, Simerjot K, Jauregui, Alejandra, Jayaraman, Sudha, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Fan, Jiang, Guohong, Jiang, Ying, Jonas, Jost B, Juel, Knud, Kan, Haidong, Roseline, Sidibe S. Kany, Karam, Nadim E, Karch, André, Karema, Corine K, Karthikeyan, Ganesan, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Kemp, Andrew H, Kengne, Andre P, Keren, Andre, Khader, Yousef S, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz A, Khang, Young Ho, Khatibzadeh, Shahab, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kimokoti, Ruth W, Kinfu, Yohanne, Kinge, Jonas M, Kissela, Brett M, Kivipelto, Miia, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kose, M. Rifat, Kosen, Soewarta, Kraemer, Alexander, Kravchenko, Michael, Krishnaswami, Sanjay, Kromhout, Han, Ku, Tiffany, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kulkarni, Chanda, Kulkarni, Veena S, Kumar, G. Anil, Kwan, Gene F, Lai, Taavi, Balaji, Arjun Lakshmana, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Ander, Laryea, Dennis O, Lavados, Pablo M, Lawrynowicz, Alicia E, Leasher, Janet L, Lee, Jong Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S, Lindsay, M. Patrice, Lipshultz, Steven E, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Logroscino, Giancarlo, London, Stephanie J, Lopez, Nancy, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimunda, Ma, Jixiang, Ma, Stefan, Machado, Vasco M. P, Macintyre, Michael F, Magis Rodriguez, Carlo, Mahdi, Abbas A, Majdan, Marek, Malekzadeh, Reza, Mangalam, Srikanth, Mapoma, Christopher C, Marape, Marape, Marcenes, Wagner, Margolis, David J, Margono, Christopher, Marks, Guy B, Martin, Randall V, Marzan, Melvin B, Mashal, Mohammad T, Masiye, Felix, Mason Jones, Amanda J, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M, Mazorodze, Tasara T, Mckay, Abigail C, Mckee, Martin, Mclain, Abigail, Meaney, Peter A, Medina, Catalina, Mehndiratta, Man Mohan, Mejia Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A, Meltzer, Michele, Memish, Ziad A, Mendoza, Walter, Mensah, George A, Meretoja, Atte, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mills, Edward J, Misganaw, Awoke, Mishra, Santosh, Ibrahim, Norlinah Mohamed, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L, Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Moore, Ami R, Morawska, Lidia, Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N, Mozaffarian, Dariush, Mueller, Ulrich O, Mukaigawara, Mitsuru, Mullany, Erin C, Murthy, Kinnari S, Naghavi, Mohsen, Nahas, Ziad, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, Km Venkat, Nash, Deni, Neal, Bruce, Nejjari, Chakib, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, de Dieu Ngirabega, Jean, Nguyen, Grant, Nguyen, Nhung T, Nieuwenhuijsen, Mark J, Nisar, Muhammad I, Nogueira, José R, Nolla, Joan M, Nolte, Sandra, Norheim, Ole F, Norman, Rosana E, Norrving, Bo, Nyakarahuka, Luke, Oh, In Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O, Omer, Saad B, Opio, John Nelson, Orozco, Ricardo, Pagcatipunan, Rodolfo S, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Papachristou, Christina, Park, Eun Kee, Parry, Charles D, Caicedo, Angel J. 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Subjects: Male, Fine particulate matter, Nutrition and Disease, MESH : Sanitation, Health Behavior, Diseases, MESH: Metabolic Diseases, MESH: Global Health, 030204 cardiovascular system & hematology, MESH: Risk Assessment, Global Health, MESH : Nutritional Status, MESH: Occupational Exposure, 0302 clinical medicine, Unsafe Sex, MESH: Risk Factors, Risk Factors, Voeding en Ziekte, Medicine, Air-pollution, MESH : Female, 030212 general & internal medicine, MESH : Risk Assessment, Sanitation, Wasting, 2. Zero hunger, Factors de risc en les malalties, Medicine (all), [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, MESH : Occupational Diseases, MESH: Nutritional Status, All-cause mortality, MESH : Risk Factors, humanities, Environmental Exposure, Female, Humans, Metabolic Diseases, Nutritional Status, Occupational Diseases, Occupational Exposure, Risk Assessment, Tobacco smoking, 3. Good health, Nutritional Statu, MESH : Occupational Exposure, MESH : Metabolic Diseases, Cohort, medicine.symptom, Risk assessment, Blood-pressure, Human, MESH: Occupational Diseases, Risk factors in diseases, Coronary-heart-disease, MESH : Male, MESH: Health Behavior, MESH: Environmental Exposure, Population health, Body-mass index, 03 medical and health sciences, Household cooking, Cardiovascular-disease, Environmental health, General & Internal Medicine, parasitic diseases, Life Science, MESH: Sanitation, Risk factor, MESH : Health Behavior, VLAG, GBD2013, MESH: Humans, business.industry, Risk Factor, Global Burden of Disease Study, 79 behavioural, environmental and occupational, and metabolic risks, Long-term exposure, MESH : Humans, CAUSE-SPECIFIC MORTALITY, MESH: Male, Metabolic Disease, Occupational Disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MALE BRITISH DOCTORS, Years of potential life lost, Relative risk, Malalties, MESH : Global Health, OUTDOOR AIR-POLLUTION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH : Environmental Exposure, MESH: Female
Abstract: Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.
Published: 2015
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36. Contraceptive use in women with hypertension and diabetes: cross-sectional study in northwest Ethiopia

Author: Tensae Mekonnen, Tegbar Yigzaw, and Solomon Meseret Woldeyohannes
Subjects: Gynecology, medicine.medical_specialty, Pregnancy, education.field_of_study, Cross-sectional study, business.industry, Obstetrics, Population, International Journal of Women's Health, Obstetrics and Gynecology, family planning, Odds ratio, medicine.disease, Confidence interval, Oncology, Family planning, Diabetes mellitus, Maternity and Midwifery, medicine, Population study, pregnancy, education, business, chronic disease, Original Research
Abstract: Tensae Tadesse Mekonnen,1 Solomon Meseret Woldeyohannes,2 Tegbar Yigzaw3 1Department of Midwifery, Tseda Health Science College, 2Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, 3Jhpiego-Ethiopia, Addis Ababa, Ethiopia Purpose: Women with diabetes and hypertension are at increased risk of pregnancy complications, including those from surgical delivery and their offspring are at risk for congenital anomalies. Thus, diabetic and hypertensive women of reproductive age are advised to use valid contraceptive methods for reducing unwanted pregnancy and its complications. However, contraceptive use among these segments of the population had not been previously assessed in Ethiopia. Hence, the aim of this study was to assess contraceptive use and associated factors among diabetic and hypertensive women of reproductive age on chronic follow-up care at University of Gondar and Felege Hiwot Hospitals.Methods: Hospital-based cross-sectional study was conducted from April to May 2012 among diabetic and hypertensive women on follow-up at the chronic illness care center. The sample size calculated was 403. Structured and pretested questionnaire was used for data collection. Data were collected using interview supplemented by chart review. The data were entered using EPI info Version 2000 and analyzed using SPSS Version 16. Frequencies, proportion, and summary statistics were used to describe the study population in relation to relevant variables. Both bivariate and multivariate analyses were run to see the association of each independent variable with contraceptive practice.Results: A total of 392 married women on chronic follow-up care were interviewed making the response rate of 93.3%. The contraceptive prevalence rate was found to be 53.8%. Factors such as age 25–34years (adjusted odds ratio, AOR [95% confidence interval, CI]=3.60 [1.05–12.36]), (AOR [95% CI] =2.29 [1.15–4.53]), having middle- and high-level incomes (AOR [95% CI] =2.12 [1.19–3.77]), (AOR [95% CI] =5.03 [2.19–11.54]), receiving provider counseling (AOR [95% CI] =9.02 [4.40–18.49]), and controlled disease condition (AOR [95% CI] =4.13 [2.35–7.28]) were significantly associated with contraceptive practice.Conclusion: The contraceptive utilization of women on diabetes and hypertension follow-up care was found to be low. Hence, strengthening counseling and education about family planning and controlling their medical conditions would help increase the contraceptive uptake of women on chronic follow-up. Keywords: family planning, chronic disease, pregnancy
Published: 2015

37. Comparison of two formulations of alfaxalone in laboratory zebra fish (Danio rerio) for use in immersion anaesthesia

Author: Solomon Meseret Woldeyohannes, Tamsin S. Barnes, C. Lau, Nigel R. Perkins, Trish Farry, Wendy Goodwin, Margaret-Mary McEwen, and H. Keates
Subjects: General Veterinary, biology, business.industry, Anesthesia, Alfaxalone, Immersion (virtual reality), Danio, medicine, biology.organism_classification, business, medicine.drug
Published: 2019
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38. Effects of acepromazine and medetomidine on the tissue oxygen saturation measured with near infrared spectroscopy in anaesthetised dogs

Author: Wendy Goodwin, Margaret M. McEwen, J. Rainger, Solomon Meseret Woldeyohannes, Nicholas R. Cowling, Nigel R. Perkins, and Tamsin S. Barnes
Subjects: Acepromazine, Nuclear magnetic resonance, General Veterinary, business.industry, Anesthesia, Near-infrared spectroscopy, medicine, Tissue oxygen, Saturation (chemistry), business, Medetomidine, medicine.drug
Published: 2019
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39. Goiter and its associated factors among primary school children aged 6-12 years in Anchar district, Eastern Ethiopia

Author: Meseret Woldeyohannes Kebede, Muzemil Muktar, Bezatu Mengistie, Kedir Teji Roba, Berhe Gebremichael, and Adamu Belay Tessema
Subjects: Male, Goiter, Cross-sectional study, Prevalence, Social Sciences, Geographical Locations, Families, 0302 clinical medicine, Sociology, Medicine and Health Sciences, 030212 general & internal medicine, Child, Children, Schools, Multidisciplinary, Nutritional Deficiencies, Eukaryota, Plants, Chemistry, Iodised salt, Health Education and Awareness, Micronutrient Deficiencies, Physical Sciences, Medicine, Female, Research Article, Chemical Elements, Iodine, medicine.medical_specialty, Science, 030209 endocrinology & metabolism, Brassica, Education, 03 medical and health sciences, Statistical significance, Environmental health, medicine, Humans, Sodium Chloride, Dietary, Nutrition, business.industry, Public health, Organisms, Biology and Life Sciences, Odds ratio, medicine.disease, Confidence interval, Health Care, Cross-Sectional Studies, Pyrimidines, Age Groups, People and Places, Africa, Population Groupings, Ethiopia, business
Abstract: BackgroundGoiter is a major public health problem in Ethiopia. Even though there were studies done on goiter in Ethiopia, there was little evidence in the eastern part of the country. Therefore, the aim of this study was to assess the prevalence of goiter and its associated factors among school-age children in Anchar district of Eastern Ethiopia.MethodsA school based cross-sectional study was conducted from February 13 to 30, 2017. Multistage sampling method was used to select 418 children aged 6-12 years. Data were collected using a questionnaire. Children were examined for the presence or absence of goiter based on the criteria of the World Health Organization (WHO). Salt samples were tested using a rapid test kit. Data were entered to EpiData version 3.1 and exported to SPSS version 22.0 for analysis. Bivariate and multivariate logistic regression models were fitted; Crude Odds Ratio (COR) and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were computed. Level of significance was determined at p-value less than 0.05.ResultsThe total goiter prevalence rate was 51.8% (CI: 46.9%, 56.8%). Father's education (AOR = 1.87, CI: 1.06, 3.30), type of salt used (AOR = 2.09, CI: 1.13, 3.88), iodine level of salt (AOR = 2.77, CI: 1.11, 6.89), frequency of milk consumption (AOR = 3.65, CI: 1.63, 8.20), frequency of cabbage consumption (AOR = 7.74, CI: 4.48, 13.39), eating status of eggs (AOR = 3.16, CI: 1.54, 6.50), and eating status of dark green vegetables/fruits (AOR = 2.14, CI: 1.17, 3.93) were factors associated with goiter among school-age children.ConclusionsThe total goiter prevalence rate was very high. Therefore, the health and education sectors of the study area should work hand in hand to improve the awareness of the community about goiter, iodized salt and iodine rich foods.
Published: 2019
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40. One Health research and training in Australia and New Zealand

Author: Joanna McKenzie, Solomon Meseret Woldeyohannes, and Simon Reid
Subjects: 0301 basic medicine, Veterinary medicine, medicine.medical_specialty, Global Reviews of One Health Research and Training, Epidemiology, media_common.quotation_subject, 030106 microbiology, education, EcoHealth, Review Article, Environmental Science (miscellaneous), Training (civil), lcsh:Infectious and parasitic diseases, 03 medical and health sciences, 0302 clinical medicine, Multidisciplinary approach, One Health, Australia, New Zealand, training, research, funding, zoonoses, ecohealth, medicine, lcsh:RC109-216, 030212 general & internal medicine, One Health, media_common, Medical education, training, research, business.industry, funding, Ecohealth, Australia, zoonoses, business, Citation, Discipline, Diversity (politics), New Zealand
Abstract: Purpose of the review : This review was performed to create a repository of information on One Health research and training in Australia and New Zealand (ANZ). The review sought to determine 1) how many training activities there are in ANZ, 2) how much research on zoonotic diseases is undertaken by multidisciplinary teams, and 3) how collaborative and integrated they are. Recent findings : There are few opportunities for training in One Health in ANZ. The majority require enrolment in a postgraduate degree programme, and there is only one postgraduate level course that is also available for continuing professional development (CPD). Of the broad range of One Health research performed in ANZ, the majority is performed by teams with limited disciplinary diversity, although diversity is improving. Summary : Progress has been made in building collaboration between human, animal, and environmental health professions. However, the lack of clearly defined competencies and agreed purpose for One Health may be impeding collaboration. Keywords: One Health; Australia; New Zealand; training; research; funding; zoonoses; Ecohealth (Published: 29 November 2016) Citation: Infection Ecology and Epidemiology 2016, 6: 33799 - http://dx.doi.org/10.3402/iee.v6.33799
Published: 2016

41. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015

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Christopher, Troeger, Amelia, VanderZanden, Stein Emil, Vollset, Valentine, Wanga, Harvey A, Whiteford, Timothy, Wolock, Leo, Zoeckler, Kalkidan Hassen, Abate, Cristiana, Abbafati, Kaja M, Abbas, Foad, Abd-Allah, Semaw Ferede, Abera Daisy, M X, Abreu Laith, J Abu-Raddad, Gebre Yitayih, Abyu, Tom, Achoki, Ademola Lukman, Adelekan Zanfi, na Ademi, Arsène Kouablan, Adou José, C Adsuar, Kossivi Agbelenko, Afanvi, Ashkan, Afshin, Emilie Elisabet, Agardh, Arnav, Agarwal, Anurag, Agrawal, Aliasghar Ahmad, Kiadaliri Oluremi, N Ajala, Ali Shafqat, Akanda Rufus, Olusola Akinyemi, Tomi F, Akinyemiju, Nadia, Akseer, Faris Hasan, Al Lami, Samer, Alabed, Ziyad, Al-Aly, Khurshid, Alam, Noore K, M Alam, Deena, Alasfoor, Saleh Fahed, Aldhahri Robert, William Aldridge, Miguel Angel, Alegretti Alicia, V Aleman, Zewdie Aderaw, Alemu Lily, T Alexander, Samia, Alhabib, Raghib, Ali, Ala’a, Alkerwi, François, Alla, Peter, Allebeck, Rajaa, Al-Raddadi, Ubai, Alsharif, Khalid A, Altirkawi Elena, Alvarez Martin, 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Alemayehu Desalegne, Hailu Gessessew, Bugssa Hailu, Yara A, Halasa Randah, Ribhi Hamadeh, Samer, Hamidi, Jamie, Hancock, Alexis J, Handal Graeme, J Hankey, Yuantao, Hao, Hilda L, Harb, Sivadasanpillai, Harikrishnan, Josep Maria, Haro, Rasmus, Havmoeller, Susan R, Heckbert Ileana, Beatriz Heredia-Pi, Pouria, Heydarpour, Henk B, M Hilderink, Hans W, Hoek Robert, S Hogg, Masako, Horino, Nobuyuki, Horita, H Dean, Hosgood Peter, J Hotez, Damian G, Hoy, Mohamed, Hsairi, Aung Soe, Htet Maung, Maung Than, Htike, Guoqing, Hu, Cheng, Huang, Hsiang, Huang, Laetitia, Huiart, Abdullatif, Husseini, Inge, Huybrechts, Grace, Huynh, Kim Moesgaard, Iburg, Kaire, Innos, Manami, Inoue, Veena J, Iyer Troy, A Jacobs, Kathryn H, Jacobsen, Nader, Jahanmehr, Mihajlo B, Jakovljevic, Peter, James, Mehdi, Javanbakht, Sudha P, Jayaraman Achala, Upendra Jayatilleke, Panniyammakal, Jeemon, Paul N, Jensen, Vivekanand, Jha, Guohong, Jiang, Ying, Jiang, Tariku, Jibat, Aida, Jimenez-Corona, Jost B, Jonas Tushar, Kant 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Luke, Nyakarahuka, Felix Akpojene, Ogbo, Takayoshi, Ohkubo, Foluke Adetola, Ojelabi Pedro, R Olivares, Bolajoko Olubukunola, Olusanya Jacob, Olusegun Olusanya, John Nelson, Opio, Eyal, Oren, Alberto, Ortiz, Majdi, Osman, Erika, Ota, Raziye, Ozdemir, Mahesh, PA, Jeyaraj D, Pandian Puspa, Raj Pant, Christina, Papachristou, Eun-Kee, Park, Jae-Hyun, Park, Charles D, Parry, Mahboubeh, Parsaeian, Angel J, Paternina Caicedo, Scott B, Patten George, C Patton, Vinod K, Paul, Neil, Pearce, João Mário, Pedro Ljiljana, Pejin Stokic, Pereira, Norberto, Perico, Konrad, Pesudovs, Max, Petzold, Michael Robert, Phillips Frédéric, B Piel, Julian David, Pillay, Dietrich, Plass, James A, Platts-Mills, Suzanne, Polinder, C Arden, Pope, Svetlana, Popova, Richie G, Poulton, Farshad, Pourmalek, Dorairaj, Prabhakaran, Mostafa, Qorbani, Justice, Quame-Amaglo, D Alex, Quistberg, Anwar, Rafay, Kazem, Rahimi, Vafa, Rahimi-Movaghar, Mahfuzar, Rahman, Mohammad Hifz, Ur Rahman, Sajjad Ur, Rahman Rajesh, Kumar Rai, 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Buckle, Geoffrey Colin, Butt, Zahid A, Calabria, Bianca, Campos-Nonato, Ismael Ricardo, Campuzano, Julio Cesar, Carapetis, Jonathan R, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesu, Castañeda-Orjuela, Carlos A, Rivas, Jacqueline Castillo, Catalá-López, Ferrán, Cavalleri, Fiorella, Cercy, Kelly, Cerda, Jorge, Chen, Wanqing, Chew, Adrienne, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Choi, Jee-Young Jasmine, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G, Cohen, Aaron J, Colistro, Valentina, Colomar, Mercede, Colquhoun, Samantha M, Cooper, Cyru, Cooper, Leslie Trumbull, Cortinovis, Monica, Cowie, Benjamin C, Crump, John A, Damsere-Derry, Jame, Danawi, Hadi, Dandona, Rakhi, Daoud, Farah, Darby, Sarah C, Dargan, Paul I, das Neves, José, Davey, Gail, Davis, Adrian C, Davitoiu, Dragos V, de Castro, E Filipa, de Jager, Pieter, Leo, Diego De, Degenhardt, 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Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khang, Young-Ho, Khera, Sahil, Khoja, Tawfik Ahmed Muthafer, Kieling, Christian, Kim, Daniel, Kim, Yun Jin, Kissela, Brett M, Kissoon, Niranjan, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krog, Norun Hjertager, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kudom, Andreas A, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G Anil, Kwan, Gene F, Lal, Aparna, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lam, Jennifer O, Langan, Sinead M, Lansingh, Van C, Larsson, Ander, Laryea, Dennis Odai, Latif, Asma Abdul, Lawrynowicz, Alicia Elena Beatriz, Leigh, Jame, Levi, Miriam, Li, Yongmei, Lindsay, M Patrice, Lipshultz, Steven E, Liu, Patrick Y, Liu, Shiwei, Liu, Yang, Lo, Loon-Tzian, Logroscino, Giancarlo, Lotufo, Paulo A, Lucas, Robyn M, Lunevicius, Raimunda, Lyons, Ronan A, Ma, Stefan, Machado, Vasco Manuel Pedro, Mackay, Mark T, Maclachlan, Jennifer H, Razek, Hassan Magdy Abd El, Magdy, Mohammed, Razek, Abd El, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Manamo, Wondimu Ayele Ayele, Mandisarisa, John, Mangalam, Srikanth, Mapoma, Chabila C, Marcenes, Wagner, Margolis, David Joel, Martin, Gerard Robert, Martinez-Raga, Jose, Marzan, Melvin Barriento, Masiye, Felix, Mason-Jones, Amanda J, Massano, João, Matzopoulos, Richard, Mayosi, Bongani M, Mcgarvey, Stephen Theodore, Mcgrath, John J, Mckee, Martin, Mcmahon, Brian J, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Meretoja, Atte, Meretoja, Tuomo J, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mohan, Viswanathan, Mola, Glen Liddell D, Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montero, Pablo, Montico, Marcella, Montine, Thomas J, Moradi-Lakeh, Maziar, Morawska, Lidia, Morgan, Katherine, Mori, Rintaro, Mozaffarian, Dariush, Mueller, Ulrich O, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Kamarul Imran, Nachega, Jean B, Nagel, Gabriele, Naidoo, Kovin S, Naik, Nitish, Naldi, Luigi, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Neupane, Suba, Newton, Charles R, Newton, John N, Ng, Marie, Ngalesoni, Frida Namnyak, de Dieu Ngirabega, Jean, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Nomura, Marika, Norheim, Ole F, Norman, Paul E, Norrving, Bo, Nyakarahuka, Luke, Ogbo, Felix Akpojene, Ohkubo, Takayoshi, Ojelabi, Foluke Adetola, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osman, Majdi, Ota, Erika, Ozdemir, Raziye, Pa, Mahesh, Pandian, Jeyaraj D, Pant, Puspa Raj, Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Parry, Charles D, Parsaeian, Mahboubeh, Caicedo, Angel J Paternina, Patten, Scott B, Patton, George C, Paul, Vinod K, Pearce, Neil, Pedro, João Mário, Stokic, Ljiljana Pejin, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B, Pillay, Julian David, Plass, Dietrich, Platts-Mills, James A, Polinder, Suzanne, Pope, C Arden, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prabhakaran, Dorairaj, Qorbani, Mostafa, Quame-Amaglo, Justice, Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajavi, Zhale, Rajsic, Sasa, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M, Ranabhat, Chhabi L, Rangaswamy, Thara, Rao, Puja, Rao, Sowmya R, Refaat, Amany H, Rehm, Jürgen, Reitsma, Marissa B, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L, Ricci, Stefano, Blancas, Maria Jesus Rio, Roberts, Bayard, Roca, Anna, Rojas-Rueda, 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Yonemoto, Naohiro, Yonga, Gerald, Younis, Mustafa Z, Yu, Shicheng, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zannad, Faiez, Zavala, Diego E, Zeeb, Hajo, Zeleke, Berihun M, Zhang, Hao, Zodpey, Sanjay, Zonies, David, Zuhlke, Liesl Joanna, Vos, Theo, Lopez, Alan D, and Murray, Christopher J L
Subjects: VITAL-STATISTICS, INTEGRATED APPROACH, ECONOMIC-DEVELOPMENT, DEVELOPMENT ASSISTANCE, UNITED-STATES, Global Health, Communicable Disease, Communicable Diseases, cause of death, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Mortality, Medicine(all), Science & Technology, Mortality, Premature, Medicine (all), EPIDEMIOLOGIC TRANSITION, GBD 2015 Mortality and Causes of Death Collaborators, CIVIL REGISTRATION, Public Health, Global Health, Social Medicine and Epidemiology, Articles, 11 Medical And Health Sciences, ROAD TRAFFIC INJURIES, ALZHEIMERS-DISEASE, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, VERBAL AUTOPSY, Life Sciences & Biomedicine, Human
Abstract: Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography-year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61.7 years (95% uncertainty interval 61.4-61.9) in 1980 to 71.8 years (71.5-72.2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11.3 years (3.7-17.4), to 62.6 years (56.5-70.2). Total deaths increased by 4.1% (2.6-5.6) from 2005 to 2015, rising to 55.8 million (54.9 million to 56.6 million) in 2015, but age-standardised death rates fell by 17.0% (15.8-18.1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14.1% (12.6-16.0) to 39.8 million (39.2 million to 40.5 million) in 2015, whereas age-standardised rates decreased by 13.1% (11.9-14.3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42.1%, 39.1-44.6), malaria (43.1%, 34.7-51.8), neonatal preterm birth complications (29.8%, 24.8-34.9), and maternal disorders (29.1%, 19.3-37.1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000-183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000-532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Copyright (C) The Author(s). Published by Elsevier Ltd.
Published: 2016

42. Worldwide spatial and temporal distribution of tuberculosis (TB)

Author: Solomon Meseret Woldeyohannes and Haimanot Gebrehiwot Moges
Abstract: Background: A detailed analysis of the spatio-temporal correlation of the yearly geo-referenced data, using different characteristic times of the disease evolution, which allowed to trace the temporal path of the etiological agent, to locate the sources of infection, and to characterize the dynamics of disease spreading indicated that the information obtained through such analysis can contribute to more effective budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs. Hence, the current literature review was conducted to show the importance of research regarding the spatial and temporal distribution of tuberculosis in Ethiopia. Objective: The purpose of the literature review was to assess the worldwide spatial and temporal distribution of tuberculosis. Methods: The literature review was done through identification and evaluation of a range of different types of sources including academic and professional journal articles, books, and web-based resources. Search engines were used to search web resources and bibliographic databases following aspects of the process associated with the production of a literature review such as evaluating information sources, searching and locating information resources, developing conceptual framework and mind mapping, and writing the literature review. In addition, references which had themes in common were grouped together. Finally, reflections on the findings of the literature review were made. Results and conclusions: There is sufficient evidence about the existence of significant high-rate space and time TB clustering and spatial variability across study regions. Significant clustering of TB was seen in “TB Epidemic” and hyperendemic “hotspots” often characterized by crowding, HIV infection, unemployment, and other social determinants. General development measures which were correlated with TB incidence trends varied geographically. People movement also found to be another risk factor indicating difference in TB occurrence among countries. The information obtained could contribute to more effective budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs.
Published: 2016
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43. Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Author: Carl Abelardo T. Antonio, Rob E. Dorrington, Belinda K Lloyd, Elisabete Weiderpass, Kovin Naidoo, Leslie T. Cooper, Sandra Nolte, Eduardo A. Undurraga, Mohammad A. AlMazroa, R. Kumar, Xiaofeng Liang, Amanda J. Mason-Jones, Kazem Rahimi, Sanjay Basu, Vasiliy Victorovich Vlassov, André Karch, Dipan Bose, Vivekanand Jha, Adansi A. Amankwaa, Kaire Innos, Ione Jayce Ceola Schneider, Itamar S. Santos, Anwar Rafay, Bolajoko O. Olusanya, Tommi Vasankari, Nana Kwaku Mainoo, Saleem M Rana, Wagner Marcenes, Fortuné Gbètoho Gankpé, Rana J. Asghar, Lela Sturua, Nicholas J K Breitborde, Corine Karema, Charles R. Newton, Uche S. Uchendu, Jongmin Lee, Inga Dora Sigfusdottir, Harish Chander Gugnani, Kaushalendra Kumar, Reza Assadi, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Timothy M. Wolock, Ronny Westerman, Samath D Dharmaratne, Katya Anne Shackelford, Anders Larsson, Jeffrey A. Towbin, Jixiang Ma, Lynne Gaffikin, Konstantin Kazanjan, Mohammad Ali Sahraian, Mohammad H. Forouzanfar, Yichong Li, Felix Sayinzoga, Daniel Dicker, Philimon Gona, Maurice Giroud, Maysaa El Sayed Zaki, Shiwei Liu, Lorenzo Monasta, Chantal Huynh, Abdullatif Husseini, Ted R. Miller, Solomon Meseret Woldeyohannes, D. Alex Quistberg, Justin Beardsley, Majed Asad, Uʇur Dilmen, Alaa Badawi, Hsien-Ho Lin, Haidong Kan, Vinod K. Paul, Mitsuru Mukaigawara, James Leigh, Xiao Nong Zou, Sajjad Ur Rahman, Valentina Arsić Arsenijević, Gokalp Kadri Yentur, Man Mohan Mehndiratta, Murugesan Raju, Stephanie J. London, Kingsley N. Ukwaja, Young-Ho Khang, Knud Juel, Mohsen Naghavi, Rasmus Havmoeller, Gelin Xu, Semaw Ferede Abera, Devina Nand, Norito Kawakami, Neil Pearce, Elisabeth Barboza França, Ferrán Catalá-López, Ketevan Goginashvili, Vegard Skirbekk, Neeraj Bedi, Barthelemy Kuate Defo, Andrew H. Kemp, H. Dean Hosgood, Vafa Rahimi-Movaghar, Konrad Pesudovs, Linhong Wang, Xiao Rong Wang, Alan D. Lopez, Ademola Lukman Adelekan, Joshua A. Salomon, Walter Mendoza, Aref A. Bin Abdulhak, Ivy Shiue, G Anil Kumar, Yuichiro Yano, Luke D. Knibbs, Jung-Chen Chang, Yousef Khader, Caitlyn Steiner, Selen Begüm Uzun, Luciano A. Sposato, Gabrielle deVeber, Raghib Ali, Andre Pascal Kengne, Chakib Nejjari, Rafael Alfonso-Cristancho, Tania Georgina Sánchez Pimienta, Roberto Tchio Talongwa, Hilda L Harb, Ali H. Mokdad, Edward J Mills, Angel J Paternina Caicedo, Xiaohong Li, Luke Nyakarahuka, Diego De Leo, Rashmi Gupta, Robert G. Weintraub, Tim Driscoll, Sun Ha Jee, Carolina Maria Teixeira, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hwashin Hyun Shin, Palwasha Anwari, Daniel Pope, Hassan Amini, Jae-Hyun Park, Saad B. Omer, Eric L. Ding, Narayanaswamy Venketasubramanian, Juan Liang, Tara Templin, Arindam Basu, Farshad Farzadfar, Yang Yang, Xuan Che, Scott Weichenthal, Jeyaraj D Pandian, David L. Tirschwell, Adrian Davis, Hilton Lam, Feng Tan, Stephen S Lim, Soewarta Kosen, Atsushi Goto, Ratilal Lalloo, Yanping Wang, Glen Mola, Paulo A. Lotufo, Dhruv S. Kazi, Jose C. Adsuar, Amany H Refaat, Ruben Castro, Gene F. Kwan, Johanna M. Geleijnse, Emerito Jose A. Faraon, Costas A. Christophi, Theo Vos, Sara Sheikhbahaei, Guilherme V. Polanczyk, Jed D. Blore, Azmeraw T. Amare, Kyle R. Heuton, Walid Ammar, Louisa Degenhardt, Andrew Vallely, Guohong Jiang, Ricky Leung, Jasvinder A. Singh, Zewdie Aderaw Alemu, A Artaman, Steven E. Lipshultz, Carlos A Castañeda-Orjuela, Seyed-Mohammad Fereshtehnejad, Sadaf G. Sepanlou, Mark J. Nieuwenhuijsen, John Q. Wong, Manami Inoue, Coen H. Van Gool, James D. Wilkinson, Ejaz Ahmad Khan, Yoshihiro Kokubo, Manuela Mendonca Felicio, Farshad Pourmalek, Boris I. Pavlin, Karen Sliwa, Robert G. Nelson, Tom Achoki, Edmond K. Kabagambe, Orish Ebere Orisakwe, Christopher J L Murray, In-Hwan Oh, Uchechukwu K.A. Sampson, Ulrich O Mueller, Austin E Schumacher, Edson Serván-Mori, Berrak Bora Basara, Simon I. Hay, Anil Kaul, Foad Abd-Allah, Takayoshi Ohkubo, Kim Yun Jin, Abdullah Sulieman Terkawi, Mall Leinsalu, Sergei Petrovich Ermakov, Marek Majdan, Ileana B. Heredia Pi, Christina Papachristou, Scott B. Patten, Rajeev Gupta, Kalpana Balakrishnan, Mustafa Z. Younis, Kenji Shibuya, Graça Maria Ferreira De Lima, Andrea P. Silva, Maziar Moradi-Lakeh, Anand Dayama, Eiman Jahangir, Stefan Ma, Karen M. Tabb, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Mazin J. Al Kahbouri, Nadim E. Karam, Jun Zhu, Chandrashekhar T Sreeramareddy, Dinorah González-Castell, Diego Gonzalez-Medina, Aliya Naheed, Ryan M Barber, Salvador Villalpando, Yang Liu, Chanda Kulkarni, Vinay Nangia, Haidong Wang, Yongmei Li, Rosario Cárdenas, Randah R. Hamadeh, Suzanne Polinder, Van C. Lansingh, François Alla, Max Petzold, Bryan L. Sykes, Ubai Alsharif, Chuanhua Yu, Francesco Saverio Violante, Monika Sawhney, Ayse Abbasoglu Ozgoren, Graeme J. Hankey, Mouhanad Hammami, Iuri da Costa Leite, Dickens Akena, Rintaro Mori, Alanur Çavlin, Maia Kereselidze, Jonathan de la Cruz Monis, Deena Alasfoor, Taavi Lai, Eric Y. Tenkorang, Cyrus Cooper, Sudan Prasad Neupane, Dan Poenaru, Veena S. Kulkarni, Naohiro Yonemoto, Elizabeth Glaser, Sergey Soshnikov, Ziad A. Memish, Paul N. Jensen, Fabiola Mejía-Rodríguez, Ana C. Garcia, Rakhi Dandona, Emilie Agardh, Katherine B Gibney, Vasco Manuel Pedro Machado, Michelle L. Bell, David M. Pereira, Muluemebet Abera Wordofa, Samantha M. Colquhoun, Elena Alvarez, Stephen G. Waller, Ketevan Gambashidze, Eduardo Bernabé, Rafael Lozano, Damian G Hoy, Miltiadis K. Tsilimbaris, Hebe N. Gouda, Muhammad Imran Nisar, Zanfina Ademi, Andrew L. Thorne-Lyman, Denis Nash, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Donald H. Silberberg, Monica S. Vavilala, Lydia S. Atkins, Hans W. Hoek, Muluken Dessalegn, David C. Schwebel, Christopher C. Mapoma, Jost B. 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Heredia, Hoek, Hans W., Hosgood, H Dean, Hoy, Damian G., Husseini, Abdullatif, Idrisov, Bulat T., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jahangir, Eiman, Jee, Sun Ha, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B., Juel, Knud, Kabagambe, Edmond Kato, Kan, Haidong, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre Pascal, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Knibbs, Luke, Kokubo, Yoshihiro, Kosen, Soewarta, Defo, Barthelemy Kuate, Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Kaushalendra, Kumar, Ravi B., Kwan, Gene, Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lansingh, Van C., Larsson, Ander, Lee, Jong-Tae, Leigh, Jame, Leinsalu, Mall, Leung, Ricky, Li, Xiaohong, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S., Lin, Hsien-Ho, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., London, Stephanie J., Lotufo, Paulo A., Ma, Jixiang, Ma, Stefan, Machado, Vasco Manuel Pedro, Mainoo, Nana Kwaku, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barriento, Mason-Jones, Amanda J., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mills, Edward J., Mokdad, Ali H., Mola, Glen Liddell, Monasta, Lorenzo, De La Cruz Monis, Jonathan, Hernandez, Julio Cesar Montañez, Moore, Ami R., Moradi-Lakeh, Maziar, Mori, Rintaro, Mueller, Ulrich O., Mukaigawara, Mitsuru, Naheed, Aliya, Naidoo, Kovin S., Nand, Devina, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Nelson, Robert G., Neupane, Sudan Prasad, Newton, Charles R., Ng, Marie, Nieuwenhuijsen, Mark J., Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F., Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O., Omer, Saad B., Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D., Papachristou, Christina, Park, Jae-Hyun, Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris Igor, Pearce, Neil, Pereira, David M., Pesudovs, Konrad, Petzold, Max, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, Dan, Pourmalek, Farshad, Qato, Dima, Quistberg, D. Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Raju, Murugesan, Rana, Saleem M., Refaat, Amany, Ronfani, Luca, Roy, Nobhojit, Pimienta, Tania Georgina Sánchez, Sahraian, Mohammad Ali, Salomon, Joshua A., Sampson, Uchechukwu, Santos, Itamar S., Sawhney, Monika, Sayinzoga, Felix, Schneider, Ione J.C., Schumacher, Austin, Schwebel, David C., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shakh-Nazarova, Marina, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Andrea P., Singh, Jasvinder A., Skirbekk, Vegard, Sliwa, Karen, Soshnikov, Sergey S., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stroumpoulis, Konstantino, Sturua, Lela, Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto Tchio, Tan, Feng, Teixeira, Carolina Maria, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thorne-Lyman, Andrew L., Tirschwell, David L., Towbin, Jeffrey A., Tran, Bach X., Tsilimbaris, Miltiadi, Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen Begüm, Vallely, Andrew J., Van Gool, Coen H., Vasankari, Tommi J., Vavilala, Monica S., Venketasubramanian, N., Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vos, Theo, Waller, Stephen, Wang, Haidong, Wang, Linhong, Wang, Xiao Rong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Westerman, Ronny, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wong, John Q., Wordofa, Muluemebet Abera, Xu, Gelin, Yang, Yang C., Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D., Naghavi, Mohsen, Murray, Christopher J.L., Lozano, Rafael, Kassebaum, Nj, Bertozzi-Villa, A, Coggeshall, M, Shackelford, Ka, Steiner, C, Heuton, Kr, Gonzalez-Medina, D, Barber, R, Huynh, C, Dicker, D, Templin, T, Wolock, Tm, Ozgoren, Aa, Abd-Allah, F, Abera, Sf, Achoki, T, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Agardh, Ee, Akena, D, Alasfoor, D, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Al Kahbouri, Mj, Alla, F, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzmán, N, Amankwaa, Aa, Amare, At, Amini, H, Ammar, W, Antonio, Ca, Anwari, P, Arnlöv, J, Arsenijevic, V, Artaman, A, Asad, Mm, Asghar, Rj, Assadi, R, Atkins, L, Badawi, A, Balakrishnan, K, Basu, A, Basu, S, Beardsley, J, Bedi, N, Bekele, T, Bell, Ml, Bernabe, E, Beyene, Tj, Bhutta, Z, Bin Abdulhak, A, Blore, J, Basara, Bb, Bose, D, Breitborde, N, Cárdenas, R, Castañeda-Orjuela, Ca, Castro, Re, Catalá-López, F, Cavlin, A, Chang, Jc, Che, X, Christophi, Ca, Chugh, S, Cirillo, M, Colquhoun, Sm, Cooper, Lt, Cooper, C, da Costa Leite, I, Dandona, L, Dandona, R, Davis, A, Dayama, A, Degenhardt, L, De Leo, D, Del Pozo-Cruz, B, Deribe, K, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Dilmen, U, Ding, El, Dorrington, Re, Driscoll, Tr, Ermakov, Sp, Esteghamati, A, Faraon, Ej, Farzadfar, F, Felicio, Mm, Fereshtehnejad, Sm, de Lima, Gm, Forouzanfar, Mh, França, Eb, Gaffikin, L, Gambashidze, K, Gankpé, Fg, Garcia, Ac, Geleijnse, Jm, Gibney, Kb, Giroud, M, Glaser, El, Goginashvili, K, Gona, P, González-Castell, D, Goto, A, Gouda, Hn, Gugnani, Hc, Gupta, R, Hafezi-Nejad, N, Hamadeh, Rr, Hammami, M, Hankey, Gj, Harb, Hl, Havmoeller, R, Hay, S, Pi, Ib, Hoek, Hw, Hosgood, Hd, Hoy, Dg, Husseini, A, Idrisov, Bt, Innos, K, Inoue, M, Jacobsen, Kh, Jahangir, E, Jee, Sh, Jensen, Pn, Jha, V, Jiang, G, Juel, K, Kabagambe, Ek, Kan, H, Karam, Ne, Karch, A, Karema, Ck, Kaul, A, Kawakami, N, Kazanjan, K, Kazi, D, Kemp, Ag, Kengne, Ap, Kereselidze, M, Khader, Y, Khalifa, Se, Khan, Ea, Khang, Yh, Knibbs, L, Kokubo, Y, Kosen, S, Defo, Bk, Kulkarni, C, Kulkarni, V, Kumar, Ga, Kumar, K, Kumar, Rb, Kwan, G, Lai, T, Lalloo, R, Lam, H, Lansingh, Vc, Larsson, A, Lee, Jt, Leigh, J, Leinsalu, M, Leung, R, Li, X, Li, Y, Liang, J, Liang, X, Lim, S, Lin, Hh, Lipshultz, Se, Liu, S, Liu, Y, Lloyd, Bk, London, Sj, Lotufo, Pa, Ma, J, Ma, S, Machado, Vm, Mainoo, Nk, Majdan, M, Mapoma, Cc, Marcenes, W, Marzan, Mb, Mason-Jones, Aj, Mehndiratta, Mm, Mejia-Rodriguez, F, Memish, Za, Mendoza, W, Miller, Tr, Mills, Ej, Mokdad, Ah, Mola, Gl, Monasta, L, de la Cruz Monis, J, Hernandez, Jc, Moore, Ar, Mori, R, Mueller, Uo, Mukaigawara, M, Naheed, A, Naidoo, K, Nand, D, Nangia, V, Nash, D, Nejjari, C, Nelson, Rg, Neupane, Sp, Newton, Cr, Ng, M, Nieuwenhuijsen, Mj, Nisar, Mi, Nolte, S, Norheim, Of, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Olusanya, Bo, Omer, Sb, Opio, Jn, Orisakwe, Oe, Pandian, Jd, Papachristou, C, Park, Jh, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pereira, Dm, Pesudovs, K, Petzold, M, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, D, Pourmalek, F, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Ur Rahman, S, Raju, M, Rana, Sm, Refaat, A, Ronfani, L, Roy, N, Pimienta, Tg, Sahraian, Ma, Salomon, J, Sampson, U, Santos, I, Sawhney, M, Sayinzoga, F, Schneider, Ij, Schumacher, A, Schwebel, Dc, Seedat, S, Sepanlou, Sg, Servan-Mori, Ee, Shakh-Nazarova, M, Sheikhbahaei, S, Shibuya, K, Shin, Hh, Shiue, I, Sigfusdottir, Id, Silberberg, Dh, Silva, Ap, Singh, Ja, Skirbekk, V, Sliwa, K, Soshnikov, S, Sposato, La, Sreeramareddy, Ct, Stroumpoulis, K, Sturua, L, Sykes, Bl, Tabb, Km, Talongwa, Rt, Tan, F, Teixeira, Cm, Tenkorang, Ey, Terkawi, A, Thorne-Lyman, Al, Tirschwell, Dl, Towbin, Ja, Tran, Bx, Tsilimbaris, M, Uchendu, U, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Vallely, Aj, van Gool, Ch, Vasankari, Tj, Vavilala, M, Venketasubramanian, N, Villalpando, S, Violante, F, Vlassov, Vv, Vos, T, Waller, S, Wang, H, Wang, L, Wang, Sx, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Westerman, R, Wilkinson, Jd, Woldeyohannes, Sm, Wong, Jq, Wordofa, Ma, Xu, G, Yang, Yc, Yano, Y, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, Mz, Yu, C, Jin, Ky, El Sayed Zaki, M, Zhao, Y, Zheng, Y, Zhou, M, Zhu, J, Zou, Xn, Lopez, Ad, Naghavi, M, Murray, Cj, Lozano, R, Cell biology, Epidemiology, Public Health, Erasmus MC other, Cardiothoracic Surgery, and Pathology
Subjects: Pediatrics, Time Factors, Nutrition and Disease, hiv-infection, immunodeficiency virus-1 infection, peripartum cardiomyopathy, Poison control, HIV Infections, IMMUNODEFICIENCY VIRUS-1 INFECTION, Socioeconomic Factor, Global Health, 0302 clinical medicine, PERIPARTUM CARDIOMYOPATHY, pregnancy-related mortality, Risk Factors, Pregnancy, Voeding en Ziekte, Cause of Death, Global health, HIV Infection, 030212 general & internal medicine, Pregnancy Complications, Infectious, 10. No inequality, Cause of death, 030219 obstetrics & reproductive medicine, south-africa, Medicine (all), 1. No poverty, WOMEN, PREGNANCY-RELATED MORTALITY, health initiatives, General Medicine, SOUTH-AFRICA, 3. Good health, Maternal Mortality, World Health, CHILD SURVIVAL, Female, Maternal death, women, Human, medicine.medical_specialty, Time Factor, DEATHS, child survival, Article, adult mortality, 03 medical and health sciences, Age Distribution, HEALTH INITIATIVES, SDG 3 - Good Health and Well-being, HIV-INFECTION, ADULT MORTALITY, Injury prevention, medicine, Organizational Objectives, Organizational Objective, Humans, VLAG, Models, Statistical, business.industry, Risk Factor, medicine.disease, deaths, Standardized mortality ratio, Socioeconomic Factors, Relative risk, Pregnancy Complications, Infectiou, business, Demography
Abstract: BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990-2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values.FINDINGS: 292,982 (95% UI 261,017-327,792) maternal deaths occurred in 2013, compared with 376,034 (343,483-407,574) in 1990. The global annual rate of change in the MMR was -0·3% (-1·1 to 0·6) from 1990 to 2003, and -2·7% (-3·9 to -1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290-2866) maternal deaths were related to HIV in 2013, 0·4% (0·2-0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1-1262·8) in South Sudan to 2·4 (1·6-3·6) in Iceland.INTERPRETATION: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa.FUNDING: Bill & Melinda Gates Foundation.
Published: 2016
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44. The global burden of injury: Incidence, mortality, disability-adjusted life years and time trends from the global burden of disease study 2013

Author: Juanita A Haagsma, Nicholas Graetz, Ian Bolliger, Mohsen Naghavi, Hideki Higashi, Erin C Mullany, Semaw Ferede Abera, Jerry Puthenpurakal Abraham, Koranteng Adofo, Ubai Alsharif, Emmanuel A Ameh, Walid Ammar, Carl Abelardo T Antonio, Lope H Barrero, Tolesa Bekele, Dipan Bose, Alexandra Brazinova, Ferrán Catalá-López, Lalit Dandona, Rakhi Dandona, Paul I Dargan, Diego De Leo, Louisa Degenhardt, Sarah Derrett, Samath D Dharmaratne, Tim R Driscoll, Leilei Duan, Sergey Petrovich Ermakov, Farshad Farzadfar, Valery L Feigin, Richard C Franklin, Belinda Gabbe, Richard A Gosselin, Nima Hafezi-Nejad, Randah Ribhi Hamadeh, Martha Hijar, Guoqing Hu, Sudha P Jayaraman, Guohong Jiang, Yousef Saleh Khader, Ejaz Ahmad Khan, Sanjay Krishnaswami, Chanda Kulkarni, Fiona E Lecky, Ricky Leung, Raimundas Lunevicius, Ronan Anthony Lyons, Marek Majdan, Amanda J Mason-Jones, Richard Matzopoulos, Peter A Meaney, Wubegzier Mekonnen, Ted R Miller, Charles N Mock, Rosana E Norman, Ricardo Orozco, Suzanne Polinder, Farshad Pourmalek, Vafa Rahimi-Movaghar, Amany Refaat, David Rojas-Rueda, Nobhojit Roy, David C Schwebel, Amira Shaheen, Saeid Shahraz, Vegard Skirbekk, Kjetil Søreide, Sergey Soshnikov, Dan J Stein, Bryan L Sykes, Karen M Tabb, Awoke Misganaw Temesgen, Eric Yeboah Tenkorang, Alice M Theadom, Bach Xuan Tran, Tommi J Vasankari, Monica S Vavilala, Vasiliy Victorovich Vlassov, Solomon Meseret Woldeyohannes, Paul Yip, Naohiro Yonemoto, Mustafa Z Younis, Chuanhua Yu, Christopher J L Murray, Theo Vos, Shivanthi Balalla, Michael R Phillips, and Public Health
Subjects: Gerontology, Adult, Male, Adolescent, Poison control, Developing country, Global Health, Occupational safety and health, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Cost of Illness, Risk Factors, Cause of Death, Injury prevention, Global health, Medicine, Humans, Disabled Persons, 030212 general & internal medicine, Mortality, Child, Cause of death, Aged, Aged, 80 and over, business.industry, Incidence (epidemiology), Incidence, Public Health, Environmental and Occupational Health, Infant, 030208 emergency & critical care medicine, Middle Aged, Quality-adjusted life year, Child, Preschool, Wounds and Injuries, Original Article, Female, Quality-Adjusted Life Years, business, Demography
Abstract: © 2016 BMJ Publishing Group. All rights reserved. Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disabilityadjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for illdefined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.
Published: 2016
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45. Worldwide Spatial and Temporal Distribution of Tuberculosis (TB)

Author: Solomon Meseret Woldeyohannes and Sisay Yifru Abera
Subjects: Tuberculosis, business.industry, Immunology, Dermatology, Risk factor (computing), Bioinformatics, medicine.disease, Crowding, Identification (information), Infectious Diseases, Conceptual framework, Virology, Information system, medicine, Regional science, Social determinants of health, Web resource, business
Abstract: Background: A detailed analysis of the spatio-temporal correlation of the yearly geo-referenced data indicated that the information obtained through such analysis can contribute to more effective in budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs. Hence, the current literature review was conducted to show the global spatial and temporal distribution of TB and importance of research regarding worldwide spatial and temporal distribution of tuberculosis in TB control programs. Objective: The purpose of the literature review was to assess the worldwide spatial and temporal distribution of tuberculosis. Methods: The literature review was done through identification and evaluation of a range of different types of sources including academic and professional journal articles, books, and web-based resources. Search engines were used to search web resources and bibliographic databases following aspects of the process associated with the production of a literature review such as evaluating information sources, searching and locating information resources, developing conceptual framework and mind mapping, and writing the literature review. In addition, references which had themes in common were grouped together. Finally, reflections on the findings of the literature review were made. Results and Conclusions: There is sufficient evidence about the existence of significant high-rate space and time TB clustering and spatial variability across study regions. Significant clustering of TB was seen in “TB Epidemic” and hyperendemic “hotspots” often characterized by crowding, HIV infection, unemployment, and other social determinants. General development measures which were correlated with TB incidence trends varied geographically. People movement also found to be another risk factor indicating difference in TB occurrence among countries. The information obtained could contribute to more effective budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs.
Published: 2015
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46. High prevalence of substance use and associated factors among high school adolescents in Woreta Town, Northwest Ethiopia: multi-domain factor analysis

Author: Anteneh Messele Birhanu, Telake Azale Bisetegn, and Solomon Meseret Woldeyohannes
Subjects: Adult, Male, Parents, medicine.medical_specialty, Adolescent, Substance-Related Disorders, Cross-sectional study, Friends, Catha, Khat, School and substance use, Young Adult, Social skills, Risk Factors, Surveys and Questionnaires, Environmental health, Epidemiology, Prevalence, medicine, Humans, Family history, Cigarette, biology, business.industry, Associated factors, Siblings, Public health, Public Health, Environmental and Occupational Health, biology.organism_classification, Mental health, Adolescence, Cross-Sectional Studies, Adolescent Behavior, Female, Ethiopia, Biostatistics, Alcohol, Factor Analysis, Statistical, business, Research Article
Abstract: Background Substance use is a major public health concern in global settings, and is very common during adolescence period leading to physical and/or mental health complications. This study assessed the prevalence of substance use and associated factors among high school adolescents in Woreta Town, Northwest Ethiopia, 2012. Methods A school based cross-sectional study was conducted from April 7 to April 15, 2012 amongst 684 9th to 12th grade high school students in the town of Woreta. Participants were selected by stratified sampling, and data were collected using an anonymous questionnaire adapted from the 2008 Community That Care Youth Survey. Bivariate and multivariate logistic regression analysis was performed to identify factors associated with substance use. Results A total of 651 students participated in the study with a response rate of 95.2%. The current prevalence of substance use among Woreta high school students was 47.9% and life-time prevalence was 65.4%. The current and lifetime prevalence of alcohol use was 40.9% and 59% respectively. Siblings’ use of substances (AOR [95% CI]: 2.72 [1.79, 4.14]), family history of alcohol and substance use (AOR [95% CI] 2.24 [1.39-3.59]) and friends’ use of substances (AOR [95% CI] 2.14 [1.44-3.18]) were factors positively associated with substance use. On the other hand, religiosity and social skill were found to be 54% (AOR [95% CI] 0.46, [0.31-0.68]) and 39% (AOR [95% CI] 0.6 [0.40-0.91]) negatively associated with substance use. Conclusions The prevalence of substance use amongst adolescents was high for the three substances namely alcohol, cigarette and khat with alcohol being the most common. Community norms favorable to substance use, family history of alcohol and substance use, siblings’ substance use, poor academic performance, low perceived risk of substances and friends’ use of substances had positive association with adolescent substance use while religiosity and social skills were found to have negative association with adolescent substance use. Initiate public awareness campaigns to inform adolescents and adults, particularly parents, of the risk of substance use. Developing culture friendly, gender based adolescent and family based programs and initiating public awareness are recommended to decrease substance use by adolescents.
Published: 2014
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47. Timing and factors associated with first antenatal care booking among pregnant mothers in Gondar Town; North West Ethiopia

Author: Abdella Amano Abdo, Solomon Meseret Woldeyohannes, and Temesgen Worku Gudayu
Subjects: Adult, medicine.medical_specialty, Multivariate analysis, Time Factors, Cross-sectional study, Population, Timing at first antenatal care booking, Decision Making, Reproductive medicine, Developing country, Logistic regression, Appointments and Schedules, Young Adult, Gondar Town, Nursing, Pregnancy, Obstetrics and Gynaecology, medicine, Humans, Young adult, education, education.field_of_study, business.industry, Obstetrics and Gynecology, Prenatal Care, medicine.disease, Pregnancy Trimester, First, Cross-Sectional Studies, Family medicine, Female, Ethiopia, Power, Psychological, business, Research Article, Maternal Age
Abstract: Background Antenatal care service which is among strategies to maintain maternal and fetal wellbeing is strongly recommended to be initiated early during pregnancy. To developing world where there is uncommon practice of pre-pregnancy care and support, timely commencement is crucial in getting potential benefits from some of the elements of the care. Therefore, we sought to assess timing and factors associated with the first antenatal care booking among pregnant mothers attending antenatal care clinics in Gondar town health facilities; North West Ethiopia. Methods Health institution based cross-sectional study was conducted among pregnant mothers from April to June 2012 in Gondar town. A total of 407 pregnant mothers were interviewed at exit from antenatal clinic by using structured and pre-tested questionnaire. Bivariate and multivariate data analysis was performed using SPSS for Windows version 16.0. Result The study indicated that 35.4% of mothers started antenatal care timely (in the first trimester of pregnancy). The mean time was 4.5 months (17.7 weeks) of pregnancy. Multivariate logistic regression analysis showed that: [(AOR (95% CI)) maternal age ≤ 25 (1.85 (1.10, 3.09)), age at marriage ≥20 years (2.21 (1.33, 3.68)), pregnancy recognition by urine test (2.29 (1.42, 3.71)), mothers who perceived the right time to start antenatal care within first trimester (3.93 (2.29, 6.75)) and having decision power to use antenatal care (2.43 (1.18, 4.99))] were significantly associated with timely commencement to antenatal care. Conclusion Timely entry to antenatal care was low in the study area. In order to improve the situation, it is important to provide community based information, education and communication on antenatal care and its right time of commencement. In addition, empowering women and implementing the proclamation designed for the age at marriage is mandatory up to the local level. Electronic supplementary material The online version of this article (doi:10.1186/1471-2393-14-287) contains supplementary material, which is available to authorized users.
Published: 2014

48. Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013

Author: Soumya Swaminathan, Berrak Bora Basara, Niveen M E Abu-Rmeileh, Shams Eldin Ali Hassan Khalifa, Nadim E. Karam, Jongmin Lee, Roberto Tchio Talongwa, Inga Dora Sigfusdottir, Yang Yang, Stein Emil Vollset, Joseph R. Masci, Daniel Dicker, Maysaa El Sayed Zaki, Shiwei Liu, Valentina Arsić Arsenijević, Ting Wu Chuang, Linhong Wang, Xiao Rong Wang, Bryan K. Phillips, Don C. Des Jarlais, Vasco Manuel Pedro Machado, Vasiliki Stathopoulou, David Phillips, Luke Nyakarahuka, Leslie T. Cooper, Sandra Nolte, Charles R. Newton, Christina Papachristou, Stephen G. Waller, Carlos Magis-Rodriguez, D. Allen Roberts, Elisabete Weiderpass, Aliya Naheed, Andre Keren, Amanda J. Mason-Jones, Karen J. Courville, Ted R. Miller, Kinnari S. Murthy, Bolajoko O. Olusanya, Tommi Vasankari, Kyle J Foreman, Gabriel Alcalá-Cerra, Yousef Khader, Lorenzo Monasta, Austine Olufemi Adeyemo, Rakhi Dandona, Sanjay Basu, Samir Soneji, Rana J. Asghar, Yohannes Adama Melaku, Rafael Alfonso-Cristancho, John Q. Wong, Yoshihiro Kokubo, Young-Ho Khang, Dhruv S. Kazi, Tom Achoki, Homie Razavi, Uche S. Uchendu, Ashish Bhalla, Ferrán Catalá-López, Peggy Pei-Chia Chiang, Kim Moesgaard Iburg, Kaire Innos, Nicholas J K Breitborde, Zacharie Tsala Dimbuene, Elena Alvarez, Vafa Rahimi-Movaghar, Qing Lan, Simon I. Hay, Kaushalendra Kumar, Ubai Alsharif, Scott B. Patten, Gelin Xu, Theo Vos, Kalpana Balakrishnan, Raghib Ali, Marcella Montico, Andrea P. Silva, Robert G. Weintraub, Timothy M. Wolock, Mohammad Ali Sahraian, Heidi J. Larson, Kingsley N. Ukwaja, Saad B. Omer, Scott Weichenthal, D. Alex Quistberg, Justin Beardsley, Chandrashekhar T Sreeramareddy, Jennifer H MacLachlan, Hsien-Ho Lin, H. Dean Hosgood, Karzan Abdulmuhsin Mohammad, Ryan M Barber, Ibrahim Abubakar, Irma Khonelidze, Ileana B. Heredia Pi, Cyrus Cooper, Hilton Lam, Urbano Fra Paleo, Joshua A. Salomon, Ricky Leung, Farshad Pourmalek, Robert G. Nelson, Konstantinos Stroumpoulis, Megan Coggeshall, Mazin J. Al Kahbouri, Richard G. Ellenbogen, Hwashin Hyun Shin, Ida Kankindi, Guohong Jiang, Yanping Wang, Daniel Obadare Fijabi, Carlos A Castañeda-Orjuela, Chakib Nejjari, Diego De Leo, Rashmi Gupta, Gene F. Kwan, Johanna M. Geleijnse, Kenji Shibuya, Hassan Amini, Nsanzimana Sabin, Benjamin C Cowie, Karen M. Tabb, Chanda Kulkarni, Jed D. Blore, Amado D Quezada, Norito Kawakami, Walid Ammar, Van C. Lansingh, François Alla, Seyed-Mohammad Fereshtehnejad, Yichong Li, Vineet K. Chadha, Jasvinder A. Singh, Agnes Binagwaho, Andrew L. Thorne-Lyman, Denis Nash, Palwasha Anwari, Mohammad T Mashal, Kim Yun Jin, Steven E. Lipshultz, Veena S. Kulkarni, Amitava Banerjee, Naohiro Yonemoto, James D. Wilkinson, Aslam Pervaiz, Emilie Agardh, Barthelemy Kuate Defo, Alan D. Lopez, Carl Abelardo T. Antonio, Abraham D. Flaxman, Boris I. Pavlin, Karen Sliwa, Dima M. Qato, G Anil Kumar, Lynne Gaffikin, K.M. Venkat Narayan, Luca Ronfani, Kazem Rahimi, Vivekanand Jha, Gokalp Kadri Yentur, Wagner Marcenes, Giuseppe Remuzzi, Anwar Rafay, Anand Dayama, Robert Quentin Reilly, Alaa Badawi, Selen Begüm Uzun, James Leigh, Vinay Nangia, Ivy Shiue, J Brown, Nobhojit Roy, Genesis May J. Samonte, Edward J Mills, Soewarta Kosen, Atsushi Goto, Sajjad Ur Rahman, Jose C. Adsuar, Semaw Ferede Abera, Jefferson Traebert, Amiran Gamkrelidze, Andrew H. Kemp, Vasiliy Victorovich Vlassov, André Karch, Edgar P. Simard, Aref A. Bin Abdulhak, Samath D Dharmaratne, Ione Jayce Ceola Schneider, Andre Pascal Kengne, Corine Karema, Harish Chander Gugnani, Reza Assadi, Glen Mola, Paulo A. Lotufo, Christopher J L Murray, Rajeev Gupta, Philimon Gona, Mustafa Z. Younis, Herbert C. Duber, Mitchell T. Wallin, Arjun Lakshmana Balaji, Max Petzold, Francesco Saverio Violante, Monika Sawhney, Kovin Naidoo, Mercedes Colomar, Chuanhua Yu, Mitsuru Mukaigawara, Emerito Jose A. Faraon, Jung-Chen Chang, A Artaman, Muhammad Imran Nisar, Dickens Akena, Xiao Nong Zou, Knud Juel, Mohammed I. Albittar, Mohammad Yahya Saeedi, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Graeme J. Hankey, Jerry Puthenpurakal Abraham, Mouhanad Hammami, Zulfiqar A Bhutta, Rintaro Mori, Maia Kereselidze, Josep Maria Haro, Emily Dansereau, Michael Brainin, Elizabeth Glaser, Ziad A. Memish, Anders Larsson, Solomon Meseret Woldeyohannes, Azmeraw T. Amare, Louisa Degenhardt, Yuichiro Yano, Luke D. Knibbs, Sadaf G. Sepanlou, Hilda L Harb, In-Hwan Oh, Katherine B Gibney, Abdullah Sulieman Terkawi, Adansi A. Amankwaa, Nicholas Graetz, Fortuné Gbètoho Gankpé, Vincent Nowaseb, David M. Pereira, Alan J Thomson, Miguel Angel Alegretti, Rupak Shivakoti, Adnan M. Durrani, Dipan Bose, Saleem M Rana, Mohammad Taghi Hedayati, Mohsen Naghavi, Vegard Skirbekk, Walter Mendoza, Ali H. Mokdad, Soraya Seedat, Zewdie Aderaw Alemu, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Paul S. F. Yip, Marek Majdan, Peter A. Meaney, Kebede Deribe, Paul N. Jensen, Fabiola Mejía-Rodríguez, Bradford D. Gessner, Ami R. Moore, Marie Ng, Maigeng Zhou, Mohammad H. Forouzanfar, John J Huang, Tim Driscoll, Samia Alhabib, Jun Zhu, Michael H. Criqui, Eduardo Bernabé, Lalit Dandona, Miltiadis K. Tsilimbaris, Borja del Pozo-Cruz, Johan Ärnlöv, Luigi Naldi, Tariku Jibat Beyene, Rasmus Havmoeller, Bongani M. Mayosi, Konrad Pesudovs, Richard A. White, Ejaz Ahmad Khan, Orish Ebere Orisakwe, Graça Maria Ferreira De Lima, Yang Liu, Haidong Wang, Yongmei Li, Bryan L. Sykes, Ronny Westerman, Vinod K. Paul, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Narayanaswamy Venketasubramanian, Uur Dilmen, Stephen S Lim, Andrew Vallely, Alireza Esteghamati, Seok Jun Yoon, John Hornberger, Kathryn H. Jacobsen, Yong Zhao, Thomas D. Fleming, Nelson Alvis-Guzman, Damian G Hoy, Hebe N. Gouda, Mall Leinsalu, Elizabeth Johnson, Wilkister N. Moturi, Bach Xuan Tran, Donald H. Silberberg, Yingfeng Zheng, Lydia S. Atkins, Hans W. Hoek, Muluken Dessalegn, David C. Schwebel, Christopher C. Mapoma, Jost B. Jonas, Tolesa Bekele, Ibrahim Abdelmageem Mohamed Ginawi, Bulat Idrisov, Man Mohan Mehndiratta, Thomas N. Williams, Jeffrey A. Towbin, Caterina Guinovart, Jeyaraj D Pandian, Panniyammakal Jeemon, Taavi Lai, Haidong Kan, Tasara T. Mazorodze, Murugesan Raju, Randah R. Hamadeh, Neil Pearce, Melvin Barrientos Marzan, Nima Hafezi-Nejad, John Nelson Opio, Deena Alasfoor, Peter J. Hotez, Jonas Minet Kinge, Peter J. Allen, Eric Y. Tenkorang, Sudan Prasad Neupane, Laith J. Abu-Raddad, Katrina F Ortblad, Arsène Kouablan Adou, Farshad Farzadfar, Sergey Soshnikov, Neeraj Bhala, Sara Sheikhbahaei, Kyle R. Heuton, Michelle L. Bell, Yohannes Kinfu, Takayoshi Ohkubo, Belinda K Lloyd, R. Kumar, Jan Hendrik Richardus, Benjamin O. Anderson, Cell biology, Epidemiology, Public Health, Erasmus MC other, Pathology, Cardiothoracic Surgery, Murray, Christopher J.L, Ortblad, Katrina F., Guinovart, Caterina, Lim, Stephen S., Wolock, Timothy M., Roberts, D. Allen, Dansereau, Emily A., Graetz, Nichola, Barber, Ryan M., Brown, Jonathan C., Wang, Haidong, Duber, Herbert C., Naghavi, Mohsen, Dicker, Daniel, Dandona, Lalit, Salomon, Joshua A., Heuton, Kyle R., Foreman, Kyle, Phillips, David E., Fleming, Thomas D., Flaxman, Abraham D., Phillips, Bryan K., Johnson, Elizabeth K., Coggeshall, Megan S., Abd-Allah, Foad, Abera, Semaw Ferede, Abraham, Jerry P., Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen Me, Achoki, Tom, Adeyemo, Austine Olufemi, Adou, Arsène Kouablan, Adsuar, José C., Agardh, Emilie Elisabet, Akena, Dicken, Al Kahbouri, Mazin J., Alasfoor, Deena, Albittar, Mohammed I., Alcalá-Cerra, Gabriel, Alegretti, Miguel Angel, Alemu, Zewdie Aderaw, Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Francoi, Allen, Peter J., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Amini, Hassan, Ammar, Walid, Anderson, Benjamin O., Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Arsic Arsenijevic, Valentina S., Artaman, Ali, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Basu, Sanjay, Beardsley, Justin, Bekele, Tolesa, Bell, Michelle L., Bernabe, Eduardo, Beyene, Tariku Jibat, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A., Bin Abdulhak, Aref, Binagwaho, Agne, Blore, Jed D., Bora Basara, Berrak, Bose, Dipan, Brainin, Michael, Breitborde, Nichola, Castañeda-Orjuela, Carlos A., Catalá-López, Ferrán, Chadha, Vineet K., Chang, Jung-Chen, Chiang, Peggy Pei-Chia, Chuang, Ting-Wu, Colomar, Mercede, Cooper, Leslie Trumbull, Cooper, Cyru, Courville, Karen J., Cowie, Benjamin C., Criqui, Michael H., Dandona, Rakhi, Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Deribe, Kebede, Des Jarlais, Don C., Dessalegn, Muluken, Dharmaratne, Samath D., Dilmen, Uur, Ding, Eric L., Driscoll, Tim R., Durrani, Adnan M., Ellenbogen, Richard G., Ermakov, Sergey Petrovich, Esteghamati, Alireza, Faraon, Emerito Jose A., Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fijabi, Daniel Obadare, Forouzanfar, Mohammad H., Paleo, Urbano Fra., Gaffikin, Lynne, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Ginawi, Ibrahim Abdelmageem Mohamed, Glaser, Elizabeth L., Gona, Philimon, Goto, Atsushi, Gouda, Hebe N., Gugnani, Harish Chander, Gupta, Rajeev, Gupta, Rahul, Hafezi-Nejad, Nima, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J., Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I., Hedayati, Mohammad T., Heredia Pi, Ileana B., Hoek, Hans W., Hornberger, John C., Hosgood, H. Dean, Hotez, Peter J., Hoy, Damian G., Huang, John J., Iburg, Kim M., Idrisov, Bulat T., Innos, Kaire, Jacobsen, Kathryn H., Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B., Juel, Knud, Kan, Haidong, Kankindi, Ida, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Khonelidze, Irma, Kinfu, Yohanne, Kinge, Jonas M., Knibbs, Luke, Kokubo, Yoshihiro, Kosen, S., Kuate Defo, Barthelemy, Kulkarni, Veena S., Kulkarni, Chanda, Kumar, Kaushalendra, Kumar, Ravi B., Kumar, G. Anil, Kwan, Gene F., Lai, Taavi, Lakshmana Balaji, Arjun, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Ander, Lee, Jong-Tae, Leigh, Jame, Leinsalu, Mall, Leung, Ricky, Li, Yichong, Li, Yongmei, De Lima, Graça Maria Ferreira, Lin, Hsien-Ho, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., Lotufo, Paulo A., Machado, Vasco Manuel Pedro, Maclachlan, Jennifer H., Magis-Rodriguez, Carlo, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barriento, Masci, Joseph R., Mashal, Mohammad Taufiq, Mason-Jones, Amanda J., Mayosi, Bongani M., Mazorodze, Tasara T., Mckay, Abigail Cecilia, Meaney, Peter A., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Melaku, Yohannes Adama, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mills, Edward J., Mohammad, Karzan Abdulmuhsin, Mokdad, Ali H., Mola, Glen Liddell, Monasta, Lorenzo, Montico, Marcella, Moore, Ami R., Mori, Rintaro, Moturi, Wilkister Nyaora, Mukaigawara, Mitsuru, Murthy, Kinnari S., Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nangia, Vinay, Narayan, K.M. Venkat, Nash, Deni, Nejjari, Chakib, Nelson, Robert G., Neupane, Sudan Prasad, Newton, Charles R., Ng, Marie, Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F., Nowaseb, Vincent, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O., Omer, Saad B., Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D., Papachristou, Christina, Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris Igor, Pearce, Neil, Pereira, David M., Pervaiz, Aslam, Pesudovs, Konrad, Petzold, Max, Pourmalek, Farshad, Qato, Dima, Quezada, Amado D., Quistberg, D. Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rana, Saleem M., Razavi, Homie, Reilly, Robert Quentin, Remuzzi, Giuseppe, Richardus, Jan Hendrik, Ronfani, Luca, Roy, Nobhojit, Sabin, Nsanzimana, Saeedi, Mohammad Yahya, Sahraian, Mohammad Ali, Samonte, Genesis May J., Sawhney, Monika, Schneider, Ione J.C., Schwebel, David C., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Shivakoti, Rupak, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Andrea P., Simard, Edgar P., Singh, Jasvinder A., Skirbekk, Vegard, Sliwa, Karen, Soneji, Samir, Soshnikov, Sergey S., Sreeramareddy, Chandrashekhar T., Stathopoulou, Vasiliki Kalliopi, Stroumpoulis, Konstantino, Swaminathan, Soumya, Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto Tchio, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thomson, Alan J., Thorne-Lyman, Andrew L., Towbin, Jeffrey A., Traebert, Jefferson, Tran, Bach X., Tsala Dimbuene, Zacharie, Tsilimbaris, Miltiadi, Uchendu, Uche S., Ukwaja, Kingsley N., Uzun, Selen Begüm, Vallely, Andrew J., Vasankari, Tommi J., Venketasubramanian, N., Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Waller, Stephen, Wallin, Mitchell T., Wang, Linhong, Wang, Xiao Rong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Westerman, Ronny, White, Richard A., Wilkinson, James D., Williams, Thomas Neil, Woldeyohannes, Solomon Meseret, Wong, John Q., Xu, Gelin, Yang, Yang C., Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa, Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D., and Vos, Theo
Subjects: Gerontology, SEVERE FEBRILE ILLNESS, Male, verbal autopsy, Nutrition and Disease, Cost effectiveness, MILLENNIUM DEVELOPMENT GOALS, HIV Infections, active antiretroviral therapy, Global Health, COST-EFFECTIVENESS, 0302 clinical medicine, Voeding en Ziekte, Global health, HIV Infection, 030212 general & internal medicine, 0303 health sciences, ACTIVE ANTIRETROVIRAL THERAPY, Incidence (epidemiology), Medicine (all), Incidence, General Medicine, Millennium Development Goals, 3. Good health, middle-income countries, projection package, World Health, VERBAL AUTOPSY, Female, Human, Tuberculosis, Tuberculosi, PROJECTION PACKAGE, prospective cohort, Epidemic, millennium development goals, 03 medical and health sciences, Age Distribution, Acquired immunodeficiency syndrome (AIDS), SDG 3 - Good Health and Well-being, MIDDLE-INCOME COUNTRIES, medicine, Organizational Objective, Humans, Organizational Objectives, FEMALE SEX WORKERS, Mortality, Sex Distribution, Epidemics, cost-effectiveness, female sex workers, 030304 developmental biology, VLAG, business.industry, plasmodium-falciparum malaria, PLASMODIUM-FALCIPARUM MALARIA, medicine.disease, Verbal autopsy, Malaria, PROSPECTIVE COHORT, severe febrile illness, business, Demography
Abstract: BACKGROUND: The Millennium Declaration in 2000 brought special global attention to HIV, tuberculosis, and malaria through the formulation of Millennium Development Goal (MDG) 6. The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occured since the Millennium Declaration.METHODS: To estimate incidence and mortality for HIV, we used the UNAIDS Spectrum model appropriately modified based on a systematic review of available studies of mortality with and without antiretroviral therapy (ART). For concentrated epidemics, we calibrated Spectrum models to fit vital registration data corrected for misclassification of HIV deaths. In generalised epidemics, we minimised a loss function to select epidemic curves most consistent with prevalence data and demographic data for all-cause mortality. We analysed counterfactual scenarios for HIV to assess years of life saved through prevention of mother-to-child transmission (PMTCT) and ART. For tuberculosis, we analysed vital registration and verbal autopsy data to estimate mortality using cause of death ensemble modelling. We analysed data for corrected case-notifications, expert opinions on the case-detection rate, prevalence surveys, and estimated cause-specific mortality using Bayesian meta-regression to generate consistent trends in all parameters. We analysed malaria mortality and incidence using an updated cause of death database, a systematic analysis of verbal autopsy validation studies for malaria, and recent studies (2010-13) of incidence, drug resistance, and coverage of insecticide-treated bednets.FINDINGS: Globally in 2013, there were 1·8 million new HIV infections (95% uncertainty interval 1·7 million to 2·1 million), 29·2 million prevalent HIV cases (28·1 to 31·7), and 1·3 million HIV deaths (1·3 to 1·5). At the peak of the epidemic in 2005, HIV caused 1·7 million deaths (1·6 million to 1·9 million). Concentrated epidemics in Latin America and eastern Europe are substantially smaller than previously estimated. Through interventions including PMTCT and ART, 19·1 million life-years (16·6 million to 21·5 million) have been saved, 70·3% (65·4 to 76·1) in developing countries. From 2000 to 2011, the ratio of development assistance for health for HIV to years of life saved through intervention was US$4498 in developing countries. Including in HIV-positive individuals, all-form tuberculosis incidence was 7·5 million (7·4 million to 7·7 million), prevalence was 11·9 million (11·6 million to 12·2 million), and number of deaths was 1·4 million (1·3 million to 1·5 million) in 2013. In the same year and in only individuals who were HIV-negative, all-form tuberculosis incidence was 7·1 million (6·9 million to 7·3 million), prevalence was 11·2 million (10·8 million to 11·6 million), and number of deaths was 1·3 million (1·2 million to 1·4 million). Annualised rates of change (ARC) for incidence, prevalence, and death became negative after 2000. Tuberculosis in HIV-negative individuals disproportionately occurs in men and boys (versus women and girls); 64·0% of cases (63·6 to 64·3) and 64·7% of deaths (60·8 to 70·3). Globally, malaria cases and deaths grew rapidly from 1990 reaching a peak of 232 million cases (143 million to 387 million) in 2003 and 1·2 million deaths (1·1 million to 1·4 million) in 2004. Since 2004, child deaths from malaria in sub-Saharan Africa have decreased by 31·5% (15·7 to 44·1). Outside of Africa, malaria mortality has been steadily decreasing since 1990.INTERPRETATION: Our estimates of the number of people living with HIV are 18·7% smaller than UNAIDS's estimates in 2012. The number of people living with malaria is larger than estimated by WHO. The number of people living with HIV, tuberculosis, or malaria have all decreased since 2000. At the global level, upward trends for malaria and HIV deaths have been reversed and declines in tuberculosis deaths have accelerated. 101 countries (74 of which are developing) still have increasing HIV incidence. Substantial progress since the Millennium Declaration is an encouraging sign of the effect of global action.FUNDING: Bill & Melinda Gates Foundation.
Published: 2014
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49. Global and National Burden of Diseases and Injuries Among Children and Adolescents Between 1990 and 2013

Author: Hmwe H, Kyu, Christine, Pinho, Joseph A, Wagner, Jonathan C, Brown, Amelia, Bertozzi-Villa, Fiona J, Charlson, Luc Edgar, Coffeng, Lalit, Dandona, Holly E, Erskine, Alize J, Ferrari, Christina, Fitzmaurice, Thomas D, Fleming, Mohammad H, Forouzanfar, Nicholas, Graetz, Caterina, Guinovart, Juanita, Haagsma, Hideki, Higashi, Nicholas J, Kassebaum, Heidi J, Larson, Stephen S, Lim, Ali H, Mokdad, Maziar, Moradi-Lakeh, Shaun V, Odell, Gregory A, Roth, Peter T, Serina, Jeffrey D, Stanaway, Awoke, Misganaw, Harvey A, Whiteford, Timothy M, Wolock, Sarah, Wulf Hanson, Foad, Abd-Allah, Semaw Ferede, Abera, Laith J, Abu-Raddad, Fadia S, AlBuhairan, Azmeraw T, Amare, Carl Abelardo T, Antonio, Al, Artaman, Suzanne L, Barker-Collo, Lope H, Barrero, Corina, Benjet, Isabela M, Bensenor, Zulfiqar A, Bhutta, Boris, Bikbov, Alexandra, Brazinova, Ismael, Campos-Nonato, Carlos A, Castañeda-Orjuela, Ferrán, Catalá-López, Rajiv, Chowdhury, Cyrus, Cooper, John A, Crump, Rakhi, Dandona, Louisa, Degenhardt, Robert P, Dellavalle, Samath D, Dharmaratne, Emerito Jose A, Faraon, Valery L, Feigin, Thomas, Fürst, Johanna M, Geleijnse, Bradford D, Gessner, Katherine B, Gibney, Atsushi, Goto, David, Gunnell, Graeme J, Hankey, Roderick J, Hay, John C, Hornberger, H Dean, Hosgood, Guoqing, Hu, Kathryn H, Jacobsen, Sudha P, Jayaraman, Panniyammakal, Jeemon, Jost B, Jonas, André, Karch, Daniel, Kim, Sungroul, Kim, Yoshihiro, Kokubo, Barthelemy, Kuate Defo, Burcu, Kucuk Bicer, G Anil, Kumar, Anders, Larsson, Janet L, Leasher, Ricky, Leung, Yongmei, Li, Steven E, Lipshultz, Alan D, Lopez, Paulo A, Lotufo, Raimundas, Lunevicius, Ronan A, Lyons, Marek, Majdan, Reza, Malekzadeh, Taufiq, Mashal, Amanda J, Mason-Jones, Yohannes Adama, Melaku, Ziad A, Memish, Walter, Mendoza, Ted R, Miller, Charles N, Mock, Joseph, Murray, Sandra, Nolte, In-Hwan, Oh, Bolajoko Olubukunola, Olusanya, Katrina F, Ortblad, Eun-Kee, Park, Angel J, Paternina Caicedo, Scott B, Patten, George C, Patton, David M, Pereira, Norberto, Perico, Frédéric B, Piel, Suzanne, Polinder, Svetlana, Popova, Farshad, Pourmalek, D Alex, Quistberg, Giuseppe, Remuzzi, Alina, Rodriguez, David, Rojas-Rueda, Dietrich, Rothenbacher, David H, Rothstein, Juan, Sanabria, Itamar S, Santos, David C, Schwebel, Sadaf G, Sepanlou, Amira, Shaheen, Rahman, Shiri, Ivy, Shiue, Vegard, Skirbekk, Karen, Sliwa, Chandrashekhar T, Sreeramareddy, Dan J, Stein, Timothy J, Steiner, Lars Jacob, Stovner, Bryan L, Sykes, Karen M, Tabb, Abdullah Sulieman, Terkawi, Alan J, Thomson, Andrew L, Thorne-Lyman, Jeffrey Allen, Towbin, Kingsley Nnanna, Ukwaja, Tommi, Vasankari, Narayanaswamy, Venketasubramanian, Vasiliy Victorovich, Vlassov, Stein Emil, Vollset, Elisabete, Weiderpass, Robert G, Weintraub, Andrea, Werdecker, James D, Wilkinson, Solomon Meseret, Woldeyohannes, Charles D A, Wolfe, Yuichiro, Yano, Paul, Yip, Naohiro, Yonemoto, Seok-Jun, Yoon, Mustafa Z, Younis, Chuanhua, Yu, Maysaa, El Sayed Zaki, Mohsen, Naghavi, Christopher J L, Murray, Theo, Vos, and Public Health
Subjects: Male, COUNTRIES, SUICIDE, Adolescent, Nutrition and Disease, Adolescent Health, Global Health, Article, 03 medical and health sciences, 0302 clinical medicine, Cost of Illness, SDG 3 - Good Health and Well-being, Voeding en Ziekte, 030225 pediatrics, SYSTEMATIC ANALYSIS, Life Science, Humans, Medicine, Public Health Surveillance, 030212 general & internal medicine, Child, Developing Countries, VLAG, business.industry, Developed Countries, DISABILITY, MORTALITY, Child Health, DEATH, 1. No poverty, HIV, Bayes Theorem, PREVALENCE, TIME, 3. Good health, Child, Preschool, Child Mortality, Pediatrics, Perinatology and Child Health, Wounds and Injuries, Female, Quality-Adjusted Life Years, business, Demography
Abstract: Importance The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce.Objective To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged Evidence Review Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14 244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35 620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates.Findings Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905 059 deaths; 95% UI, 810 304-998 125), diarrheal diseases among older children (38 325 deaths; 95% UI, 30 365-47 678), and road injuries among adolescents (115 186 deaths; 95% UI, 105 185-124 870). Iron deficiency anemia was the leading cause of years lived with disability among children and adolescents, affecting 619 (95% UI, 618-621) million in 2013. Large between-country variations exist in mortality from leading causes among children and adolescents. Countries with rapid declines in all-cause mortality between 1990 and 2013 also experienced large declines in most leading causes of death, whereas countries with the slowest declines had stagnant or increasing trends in the leading causes of death. In 2013, Nigeria had a 12% global share of deaths from lower respiratory tract infections and a 38% global share of deaths from malaria. India had 33% of the world’s deaths from neonatal encephalopathy. Half of the world’s diarrheal deaths among children and adolescents occurred in just 5 countries: India, Democratic Republic of the Congo, Pakistan, Nigeria, and Ethiopia.Conclusions and Relevance Understanding the levels and trends of the leading causes of death and disability among children and adolescents is critical to guide investment and inform policies. Monitoring these trends over time is also key to understanding where interventions are having an impact. Proven interventions exist to prevent or treat the leading causes of unnecessary death and disability among children and adolescents. The findings presented here show that these are underused and give guidance to policy makers in countries where more attention is needed.
Published: 2016
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50. A cross sectional study on factors associated with risk perception of healthcare workers toward healthcare waste management in health care facilities of Gondar Town, Northwest Ethiopia

Author: Solomon Meseret Woldeyohannes, Muluken Azage Yenesew, and Haimanot Gebrehiwot Moges
Subjects: Risk perception, Human health, Waste management, business.industry, Cross-sectional study, Environmental health, Health care, Medicine, Developing country, Self administered questionnaire, business, Health care waste
Abstract: Some of healthcare wastes are potentially dangerous to human health and contaminate the environment. Nonetheless, all types of healthcare wastes generated from healthcare facilities in many developing countries including Ethiopia are treated and managed equally like other ordinary general wastes by healthcare workers. Therefore, the aim of this study was to assess the risk perceptions of healthcare workers towards healthcare waste in healthcare facilities of Gondar town. A cross sectional study was employed to assess the risk perception of healthcare workers towards to healthcare wastes from April to May 2011. A total of 260 healthcare workers were included using simple random sampling technique. A self administered questionnaire was used to collect data. Data were entered and analyzed using SPSS version 16. Mean score was used to assess the risk perception of healthcare workers. Of the respondents, only 156 (60%) had scored greater than or equal to the mean score value on the risk perceptions of healthcare workers towards improper healthcare waste management. Knowledge on healthcare waste types (AOR: 9.04; 95%CI: 1.03, 79.23) and diseases transmitted with healthcare waste (AOR: 2.28; 95%CI: 1.08, 4.81), and having a training (AOR: 1.87; 95%CI: 1.03, 3.40) on the regarding Health Care Waste were significantly associated with risk perception of HCWs. None of the facilities had healthcare waste management guidelines. Only small proportion of the Healthcare workers had adequate risk perception on healthcare waste. Regular training on healthcare waste should be offered to improve the risk perceptions of healthcare workers and Health Care Facilities should have healthcare waste management plan and guidelines. Key words: Risk perceptions, Healthcare Workers, Healthcare Facilities
Published: 2012
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