Author: "Jane Rowley" / Topic: female - Searchworks@Jio Institute Digital Library Search Results

16 results on '"Jane Rowley"'

1. WHO method for estimating congenital syphilis to inform surveillance and service provision, Paraguay

Author: Katherine Heath, Monica Alonso, Gloria Aguilar, Tania Samudio, Eline Korenromp, Jane Rowley, Anita Suleiman, Ye Yu Shwe, Khin Cho Win Htin, Naoko Ishikawa, Morkor Newman Owiredu, and Melanie Taylor
Subjects: Paraguay, Pregnancy, Syphilis, Congenital, Public Health, Environmental and Occupational Health, Humans, Female, Prenatal Care, Syphilis, Pregnancy Complications, Infectious, World Health Organization, Infectious Disease Transmission, Vertical
Abstract: In Paraguay, incomplete surveillance data resulted in the burden of congenital syphilis being underestimated, which, in turn, led to missed opportunities for infant diagnosis and treatment.The prevalence of congenital syphilis, as defined by the World Health Organization (WHO), was estimated for Paraguay using the WHO congenital syphilis estimation tool. This tool was also used to monitor progress towards the elimination of mother-to-child transmission of syphilis.The burden of syphilis in Paraguay has historically been high: its prevalence in pregnant women was estimated to be 3% in 2018.The incidence rate of congenital syphilis estimated using the WHO tool was around nine times the reported prevalence. Subsequently, Paraguay: (i) provided training to improve diagnosis and case reporting; (ii) strengthened information systems for case monitoring and reporting; and (iii) procured additional rapid dual HIV-syphilis and rapid plasma reagin tests to increase syphilis testing capacity. In addition, the Ministry of Health prepared a new national plan for eliminating mother-to-child transmission of syphilis, with clear monitoring milestones.Health-care providers' reporting and surveillance procedures for congenital syphilis may not adequately reflect national and international case definitions. Use of the WHO congenital syphilis estimation tool in Paraguay drew attention to congenital syphilis as a national public health problem and highlighted the importance of comprehensive national surveillance systems and accurate data. Ongoing use of the WHO tool can track progress towards the elimination of mother-to-child transmission of syphilis by helping improve syphilis service coverage and national surveillance.Au Paraguay, l'insuffisance de données de surveillance entraîne une sous-estimation du fardeau causé par la syphilis congénitale, ce qui aboutit à des occasions manquées de diagnostiquer et traiter les nourrissons.Le taux d'incidence de la syphilis congénitale, telle que définie par l'Organisation mondiale de la Santé (OMS), a été calculée au Paraguay à l'aide de l'outil d'évaluation de l'OMS. Cet outil a également servi à suivre les progrès dans l'élimination de la transmission de la syphilis de la mère à l'enfant.Le fardeau de la syphilis au Paraguay a toujours été lourd: la prévalence de la maladie chez les femmes enceintes était estimée à 3% en 2018.Le taux de prévalence de la syphilis congénitale calculé avec l'outil de l'OMS était environ neuf fois plus élevé que celui enregistré. Par conséquent, le Paraguay a: (i) proposé des formations afin d'améliorer le diagnostic et le signalement des cas; (ii) renforcé les systèmes d'information pour le suivi et la notification des cas; et enfin, (iii) fourni des doubles tests rapides VIH/syphilis et des tests rapides de la réagine plasmatique supplémentaires en vue d'accroître les capacités de dépistage de la syphilis. En outre, le ministère de la Santé a élaboré un nouveau plan national destiné à éliminer la transmission de la syphilis de la mère à l'enfant, comprenant une série d'étapes de suivi.Les procédures des prestataires de soins de santé en matière de notification et de surveillance de la syphilis congénitale pourraient différer de la définition des cas aux niveaux national et international. L'utilisation de l'outil d'évaluation mis au point par l'OMS pour la syphilis congénitale au Paraguay a attiré l'attention sur cette maladie qui représente un problème de santé publique nationale, et souligné l'importance des systèmes de surveillance complets et des données précises. Continuer à employer cet outil peut permettre de mesurer les progrès accomplis dans l'élimination de la transmission de la syphilis de la mère à l'enfant, en contribuant à améliorer la couverture des services et la surveillance nationale.En Paraguay, los datos de vigilancia incompletos ocasionaron que se subestimara la carga de sífilis congénita, lo que, a su vez, hizo que se perdieran las oportunidades de diagnóstico y tratamiento de los lactantes.La prevalencia de la sífilis congénita, según la definición de la Organización Mundial de la Salud (OMS), se estimó para Paraguay utilizando la herramienta de estimación de la sífilis congénita de la OMS. Esta herramienta también se utilizó para monitorear el progreso hacia la eliminación de la transmisión maternofilial de la sífilis.La carga de sífilis en Paraguay ha sido históricamente alta: su prevalencia en embarazadas se estimó en un 3 % en 2018.La tasa de incidencia de sífilis congénita estimada con la herramienta de la OMS era aproximadamente nueve veces superior a la notificada. En consecuencia, Paraguay: i) impartió formación para mejorar el diagnóstico y la notificación de los casos; ii) reforzó los sistemas de información para el monitoreo y la notificación de los casos; y iii) adquirió más pruebas rápidas duales de VIH-sífilis y de inmunoglobulina E plasmática rápida para aumentar la capacidad de realizar pruebas de sífilis. Además, el Ministerio de Salud Pública preparó un nuevo plan nacional para eliminar la transmisión maternofilial de la sífilis, con claros hitos de monitoreo.Es posible que los procedimientos de notificación y vigilancia de la sífilis congénita que aplican los profesionales sanitarios no reflejen de manera adecuada las definiciones nacionales e internacionales de los casos. El uso de la herramienta de estimación de la sífilis congénita de la OMS en Paraguay llamó la atención sobre la sífilis congénita como un problema nacional de salud pública y destacó la importancia de contar con sistemas nacionales de vigilancia integrales y datos precisos. El uso constante de la herramienta de la OMS puede hacer un seguimiento de los avances hacia la eliminación de la transmisión maternofilial de la sífilis al ayudar a mejorar la cobertura de los servicios relacionados con la sífilis y la vigilancia nacional.أدت بيانات المراقبة غير المكتملة في باراغواي إلى الحد من عبء تقييم الزهري الخلقي، مما أدى بدوره إلى ضياع فرص تشخيص الرضع وعلاجهم.تم تقييم انتشار مرض الزهري الخلقي، وفقًا لتعريف منظمة الصحة العالمية (WHO)، في باراغواي باستخدام أداة تقييم الزهري الخلقي التابعة لمنظمة الصحة العالمية. تم استخدام هذه الأداة أيضًا لرصد التقدم نحو القضاء على انتقال مرض الزهري من الأم إلى الطفل.كان عبء مرض الزهري في باراغواي مرتفعًا على مدى تاريخها، فقد تم تقدير انتشاره بين النساء الحوامل بنسبة 3% في عام 2018.在巴拉圭，不完整的监测数据导致先天性梅毒的负担被低估，由此导致错过婴儿诊断和治疗的机会。.根据世界卫生组织的 (WHO) 定义，采用世界卫生组织先天性梅毒评估工具来估算先天性梅毒的患病率。该工具还可用来监测梅毒母婴传播评估领域的进展情况。.巴拉圭的梅毒负担历来很高：2018 年的孕妇患病率估计占到 3%。.使用世界卫生组织工具评估的先天性梅毒患病率大约是所报告的患病率的九倍。随后，巴拉圭：(I) 开展了培训以提升诊断和病例报告；(ii) 加强了病例监测和报告的信息系统，并且 (iii) 采购了额外的快速双重 HIV-梅毒检测和快速血浆反应素试验以增强梅毒检测能力。除此以外，卫生部还制定了一项新的全国性计划，通过明确的监测里程碑来评估梅毒的母婴传播。.医疗护理机构的先天性梅毒报告和监测程序可能无法充分反映全国性和国际性的病例定义。在巴拉圭采用世界卫生组织先天性梅毒评估工具提高了对先天性梅毒作为全国性公共卫生问题的关注度，强调了综合的全国性监测系统和准确数据的重要性。持续使用世界卫生组织工具可以有助于提高梅毒卫生服务覆盖面和全国性监测的普及，从而追赶梅毒母婴传播评估领域的进展。.В Парагвае неполные данные наблюдений привели к недооценке бремени врожденного сифилиса, что в свою очередь привело к упущенным возможностям в диагностике и лечении младенцев.В Парагвае распространенность врожденного сифилиса, по определению Всемирной организации здравоохранения (ВОЗ), оценивалась с использованием инструмента ВОЗ для оценки врожденного сифилиса. Этот инструмент также использовали для мониторинга прогресса в борьбе с передачей сифилиса от матери к ребенку.В Парагвае бремя сифилиса достигло рекордных показателей: его распространенность среди беременных женщин в 2018 году составила 3%.Распространенность врожденного сифилиса, оцененная с помощью инструмента ВОЗ, примерно в девять раз превышала зарегистрированную распространенность. В результате Парагвай: (i) организовал обучение для улучшения диагностики и отчетности о случаях заболевания; (ii) укрепил информационные системы для мониторинга случаев заболевания и отчетности; (iii) закупил дополнительные двойные экспресс-тесты на ВИЧ/сифилис и реакцию быстрого определения реагинов плазмы, чтобы расширить возможности тестирования на сифилис. Кроме того, Министерство здравоохранения подготовило новый национальный план по борьбе с передачей сифилиса от матери к ребенку с четкими этапами мониторинга.Процедуры отчетности и наблюдения медицинских работников за врожденным сифилисом могут неадекватно отражать определения случаев заболевания на национальном и международном уровне. Использование инструмента ВОЗ для оценки врожденного сифилиса в Парагвае привлекло внимание к врожденному сифилису как национальной проблеме в сфере общественного здравоохранения и подчеркнуло важность комплексных национальных систем наблюдения и точных данных. Постоянное использование инструмента ВОЗ поможет отслеживать прогресс в борьбе с передачей сифилиса от матери к ребенку, способствуя большему охвату услугами по борьбе с сифилисом и наблюдению на национальном уровне.
Published: 2022
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2. Trends in adult chlamydia and gonorrhoea prevalence, incidence and urethral discharge case reporting in Mongolia from 1995 to 2016 – estimates using the Spectrum-STI model

Author: Erdenetungalag Enkhbat, Guy Mahiané, Jugderjav Badrakh, Jane Rowley, Narantuya Jadambaa, Sergelen Munkhbaatar, Davaalkham Jagdagsuren, Melanie M Taylor, Eline L. Korenromp, and Setsen Zayasaikhan
Subjects: Male, Gonorrhea, Prevalence, lcsh:Medicine, urologic and male genital diseases, disease burden, 0302 clinical medicine, Pregnancy, treatment access, Epidemiology, Medicine, 030212 general & internal medicine, Chlamydia, Original Research, education.field_of_study, gonorrhea, Incidence, Incidence (epidemiology), lcsh:Public aspects of medicine, urethral discharge, General Medicine, Middle Aged, female genital diseases and pregnancy complications, surveillance, Female, 0305 other medical science, Adult, medicine.medical_specialty, Adolescent, Non Theme Issue, Population, modelling, Young Adult, 03 medical and health sciences, Urethra, Humans, education, Models, Statistical, 030505 public health, estimation, business.industry, Public health, lcsh:R, lcsh:RA1-1270, Mongolia, Chlamydia Infections, medicine.disease, Confidence interval, business, Demography
Abstract: Objective: To estimate Mongolia’s prevalence and incidence trends of gonorrhea and chlamydia in women and men 15-49 years-old, to inform control of STIs and HIV, a national health sector priority. Methods: We applied the Spectrum-STI estimation model, fitting data from two national population surveys (2001 and 2008) and from routine gonorrhea screening of pregnant women in antenatal care (1997-2016), adjusted for diagnostic test performance, male/female differences and missing high-risk populations. Prevalence and incidence estimates were then used to assess completeness of national case reporting. Results: Gonorrhea prevalence was estimated at 3.3% (95% confidence interval, 1.6-3.9%) in women and 2.9% (1.3-3.4%) in men in 2016; chlamydia prevalences were 19.5% (17.3-21.9%) and 15.6% (13.8-17.5%). Corresponding new incident cases in women and men in 2016 totaled 60,334 (36,147-121,933) and 76,893 (40,428-267,884) for gonorrhea, and 131,306 (84,232-254,316) and 148,162 (72,145-444,110) for chlamydia. Gonorrhea and chlamydia prevalence declined by an estimated 33% and 11%, respectively, over 2001-2016. Comparing numbers of symptomatic and treated cases estimated by Spectrum with gonorrhea case reports suggests that 15% of symptomatic treated gonorrhea cases were reported in 2016; only a minority of chlamydia episodes were reported as urethral discharge cases. Discussion: Gonorrhea and chlamydia prevalence are estimated to have declined in Mongolia during the early 2000s, possibly associated with syndromic management in primary care facilities and improving treatment coverage since 2001, and scale-up of (Global Fund-supported) HIV/STI prevention interventions since 2003. However, prevalence remain high, with most gonorrhea and chlamydia cases not treated or recorded in the public health system.
Published: 2017

3. Trends and Predictors of Syphilis Prevalence in the General Population: Global Pooled Analyses of 1103 Prevalence Measures Including 136 Million Syphilis Tests

Author: R Matthew Chico, Nico Nagelkerke, Jane Rowley, Laith J. Abu-Raddad, Nicholas J Kassebaum, Eline L. Korenromp, and Alex Smolak
Subjects: Adult, Male, Microbiology (medical), Gerontology, Databases, Factual, 030231 tropical medicine, Population, Global Health, Rapid plasma reagin, 03 medical and health sciences, Syphilis Serodiagnosis, diagnostic assay, 0302 clinical medicine, Pregnancy, meta-regression, Prevalence, medicine, Humans, sexually transmitted infection, Syphilis, Treponema pallidum, 030212 general & internal medicine, education, Articles and Commentaries, Reagins, education.field_of_study, medicine.diagnostic_test, business.industry, Prenatal Care, Hemagglutination Tests, Odds ratio, medicine.disease, Confidence interval, 3. Good health, meta-analysis, Infectious Diseases, Pooled variance, Meta-analysis, surveillance, Regression Analysis, Female, business, Demography
Abstract: Syphilis prevalence has been declining in every region by several percentage points per year. Nevertheless, the prevalence by region continued to vary, from as little as 0.1% in the European Region to as high as 3% in the African Region., Background This study assessed levels, trends, and associations of observed syphilis prevalence in the general adult population using global pooled analyses. Methods A standardized database of syphilis prevalence was compiled by pooling systematically gathered data. Random-effects meta-analyses and meta-regressions were conducted using data from the period 1990–2016 to estimate pooled measures and assess predictors and trends. Countries were classified by World Health Organization region. Sensitivity analyses were conducted. Results The database included 1103 prevalence measures from 136 million syphilis tests across 154 countries (85% from women in antenatal care). Global pooled mean prevalence (weighted by region population size) was 1.11% (95% confidence interval [CI], .99–1.22). Prevalence predictors were region, diagnostic assay, sample size, and calendar year interacting with region. Compared to the African Region, the adjusted odds ratio (AOR) was 0.42 (95% CI, .33–.54) for the Region of the Americas, 0.13 (95% CI, .09–.19) for the Eastern Mediterranean Region, 0.05 (95% CI, .03–.07) for the European Region, 0.21 (95% CI, .16–.28) for the South-East Asia Region, and 0.41 (95% CI, .32–.53) for the Western Pacific Region. Treponema pallidum hemagglutination assay (TPHA) only or rapid plasma reagin (RPR) only, compared with dual RPR/TPHA diagnosis, produced higher prevalence (AOR >1.26), as did smaller sample-size studies (2.16). Prevalence declined in all regions; the annual AORs ranged from 0.84 (95% CI, .79–.90) in the Eastern Mediterranean to 0.97 (95% CI, .97–1.01) in the Western Pacific. The pooled mean male-to-female prevalence ratio was 1.00 (95% CI, .89–1.13). Sensitivity analyses confirmed robustness of results. Conclusions Syphilis prevalence has declined globally over the past 3 decades. Large differences in prevalence persist among regions, with the African Region consistently the most affected.
Published: 2017
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4. Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016

Author: Eline L. Korenromp, Amina El-Kettani, Nico Nagelkerke, Jane Rowley, R Matthew Chico, Guy Mahiané, Carel Pretorius, Kendall Hecht, Laith J. Abu-Raddad, Philippe Mayaud, Francis Ndowa, Teodora Wi, and Houssine El-Rhilani
Subjects: AFRICA, Adult, Male, Zimbabwe, medicine.medical_specialty, Pediatrics, Population, Gonorrhea, Prevalence, Developing country, Dermatology, Logistic regression, History, 21st Century, 03 medical and health sciences, 0302 clinical medicine, Epidemiology, SURVEILLANCE, medicine, Humans, MATHEMATICAL MODEL, 030212 general & internal medicine, education, education.field_of_study, 030505 public health, Data collection, business.industry, Incidence, 1. No poverty, GONORRHOEA, History, 20th Century, Middle Aged, Models, Theoretical, medicine.disease, SYPHILIS, 3. Good health, Morocco, Infectious Diseases, Population Surveillance, Syphilis, Original Article, Female, 0305 other medical science, business, Demography
Abstract: Objective To develop a tool for estimating national trends in adult prevalence of sexually transmitted infections by low- and middle-income countries, using standardised, routinely collected programme indicator data. Methods The Spectrum-STI model fits time trends in the prevalence of active syphilis through logistic regression on prevalence data from antenatal clinic-based surveys, routine antenatal screening and general population surveys where available, weighting data by their national coverage and representativeness. Gonorrhoea prevalence was fitted as a moving average on population surveys (from the country, neighbouring countries and historic regional estimates), with trends informed additionally by urethral discharge case reports, where these were considered to have reasonably stable completeness. Prevalence data were adjusted for diagnostic test performance, high-risk populations not sampled, urban/rural and male/female prevalence ratios, using WHO9s assumptions from latest global and regional-level estimations. Uncertainty intervals were obtained by bootstrap resampling. Results Estimated syphilis prevalence (in men and women) declined from 1.9% (95% CI 1.1% to 3.4%) in 2000 to 1.5% (1.3% to 1.8%) in 2016 in Zimbabwe, and from 1.5% (0.76% to 1.9%) to 0.55% (0.30% to 0.93%) in Morocco. At these time points, gonorrhoea estimates for women aged 15–49 years were 2.5% (95% CI 1.1% to 4.6%) and 3.8% (1.8% to 6.7%) in Zimbabwe; and 0.6% (0.3% to 1.1%) and 0.36% (0.1% to 1.0%) in Morocco, with male gonorrhoea prevalences 14% lower than female prevalence. Conclusions This epidemiological framework facilitates data review, validation and strategic analysis, prioritisation of data collection needs and surveillance strengthening by national experts. We estimated ongoing syphilis declines in both Zimbabwe and Morocco. For gonorrhoea, time trends were less certain, lacking recent population-based surveys.
Published: 2017

5. Correction: Global burden of maternal and congenital syphilis and associated adverse birth outcomes—Estimates for 2016 and progress since 2012

Author: Eline L Korenromp, Jane Rowley, Monica Alonso, Maeve B Mello, N Saman Wijesooriya, S Guy Mahiané, Naoko Ishikawa, Linh-Vi Le, Morkor Newman-Owiredu, Nico Nagelkerke, Lori Newman, Mary Kamb, Nathalie Broutet, and Melanie M Taylor
Subjects: Multidisciplinary, Syphilis, Congenital, lcsh:R, Infant, Newborn, Pregnancy Outcome, lcsh:Medicine, Correction, Stillbirth, Global Health, Infectious Disease Transmission, Vertical, Cost of Illness, Pregnancy, Prevalence, Humans, lcsh:Q, Female, Syphilis, Pregnancy Complications, Infectious, lcsh:Science
Abstract: In 2007 the World Health Organization (WHO) launched the global initiative to eliminate mother-to-child transmission of syphilis (congenital syphilis, or CS). To assess progress towards the goal of50 CS cases per 100,000 live births, we generated regional and global estimates of maternal and congenital syphilis for 2016 and updated the 2012 estimates.Maternal syphilis estimates were generated using the Spectrum-STI model, fitted to sentinel surveys and routine testing of pregnant women during antenatal care (ANC) and other representative population data. Global and regional estimates of CS used the same approach as previous WHO estimates.The estimated global maternal syphilis prevalence in 2016 was 0.69% (95% confidence interval: 0.57-0.81%) resulting in a global CS rate of 473 (385-561) per 100,000 live births and 661,000 (538,000-784,000) total CS cases, including 355,000 (290,000-419,000) adverse birth outcomes (ABO) and 306,000 (249,000-363,000) non-clinical CS cases (infants without clinical signs born to un-treated mothers). The ABOs included 143,000 early fetal deaths and stillbirths, 61,000 neonatal deaths, 41,000 preterm or low-birth weight births, and 109,000 infants with clinical CS. Of these ABOs- 203,000 (57%) occurred in pregnant women attending ANC but not screened for syphilis; 74,000 (21%) in mothers not enrolled in ANC, 55,000 (16%) in mothers screened but not treated, and 23,000 (6%) in mothers enrolled, screened and treated. The revised 2012 estimates were 0.70% (95% CI: 0.63-0.77%) maternal prevalence, and 748,000 CS cases (539 per 100,000 live births) including 397,000 (361,000-432,000) ABOs. The estimated decrease in CS case rates between 2012 and 2016 reflected increased access to ANC and to syphilis screening and treatment.Congenital syphilis decreased worldwide between 2012 and 2016, although maternal prevalence was stable. Achieving global CS elimination, however, will require improving access to early syphilis screening and treatment in ANC, clinically monitoring all women diagnosed with syphilis and their infants, improving partner management, and reducing syphilis prevalence in the general population by expanding testing, treatment and partner referral beyond ANC.
Published: 2019

6. The Spectrum-STI Groups model: syphilis prevalence trends across high-risk and lower-risk populations in Yunnan, China

Author: Yan Guo, Manhong Jia, Zhongdan Chen, Xiaobin Zhang, Hongbin Luo, Kendall Hecht, Jing Li, Xiujie Zhang, Takeshi Nishijima, Guy Mahiané, Yanling Ma, Xiang-Sheng Chen, Eline L. Korenromp, Wanyue Zhang, Xiangdong Gong, Fangfang Chen, Jane Rowley, and Melanie M. Taylor
Subjects: Adult, Male, Risk, medicine.medical_specialty, China, Adolescent, Epidemiology, Population, lcsh:Medicine, Lower risk, Article, Men who have sex with men, 03 medical and health sciences, Young Adult, Population screening, 0302 clinical medicine, Risk Factors, medicine, Prevalence, Humans, 030212 general & internal medicine, Syphilis, Young adult, education, lcsh:Science, Heterosexuality, education.field_of_study, 030505 public health, Multidisciplinary, Sex Workers, business.industry, lcsh:R, virus diseases, Middle Aged, medicine.disease, Confidence interval, lcsh:Q, Female, 0305 other medical science, business, Sentinel Surveillance, Demography
Abstract: The Spectrum-STI model, structured by sub-groups within a population, was used in a workshop in Yunnan, China, to estimate provincial trends in active syphilis in 15 to 49-year-old adults. Syphilis prevalence data from female sex workers (FSW), men who have sex with men (MSM), and lower-risk women and men in Yunnan were identified through literature searches and local experts. Sources included antenatal care clinic screening, blood donor screening, HIV/STI bio-behavioural surveys, sentinel surveillance, and epidemiology studies. The 2017 provincial syphilis prevalence estimates were 0.26% (95% confidence interval 0.17–0.34%) in women and 0.28% (0.20–0.36%) in men. Estimated prevalence was 6.8-fold higher in FSW (1.69% (0.68–3.97%) than in lower-risk women (0.25% (0.18–0.35%)), and 22.7-fold higher in MSM (5.35% (2.74–12.47%) than in lower-risk men (0.24% (0.17–0.31%). For all populations, the 2017 estimates were below the 2005 estimates, but differences were not significant. In 2017 FSW and MSM together accounted for 9.3% of prevalent cases. These estimates suggest Yunnan’s STI programs have kept the overall prevalence of syphilis low, but prevalence remains high in FSW and MSM. Strengthening efforts targeting FSW and MSM, and identification of other risk populations e.g. among heterosexual men, are critical to reduce syphilis.
Published: 2019

7. Syphilis prevalence trends in adult women in 132 countries - estimations using the Spectrum Sexually Transmitted Infections model

Author: Eline L. Korenromp, Nico Nagelkerke, Laith J. Abu-Raddad, Melanie M. Taylor, Carel Pretorius, Rebecca Williams, S. Guy Mahiane, Jane Rowley, and R Matthew Chico
Subjects: Adult, medicine.medical_specialty, Science, 030231 tropical medicine, Sexually Transmitted Diseases, Article, World health, Adult women, 03 medical and health sciences, 0302 clinical medicine, 5. Gender equality, Pregnancy, Epidemiology, Prevalence, medicine, Humans, Mass Screening, Syphilis, 030212 general & internal medicine, Pregnancy Complications, Infectious, Female population, Models, Statistical, Multidisciplinary, business.industry, Incidence, Incidence (epidemiology), Diagnostic test, medicine.disease, Confidence interval, 3. Good health, Medicine, Female, business, Demography
Abstract: We estimated national-level trends in the prevalence of probable active syphilis in adult women using the Spectrum Sexually Transmitted Infections (STI) model to inform program planning, target-setting, and progress evaluation in STI control. The model fitted smoothed-splines polynomial regressions to data from antenatal clinic surveys and screening and representative household surveys, adjusted for diagnostic test performance and weighted by national coverage. Eligible countries had ≥1 data point from 2010 or later and ≥3 from 2000 or later from adult populations considered representative of the general female population (pregnant women or community-based studies). Between 2012 and 2016, the prevalence of probable active syphilis in women decreased in 54 (41%) of 132 eligible countries; this decrease was substantive (≥10% proportionally, ≥0.10% percentage-point absolute difference and non-overlapping 95% confidence intervals in 2012 and 2016) in 5 countries. Restricting eligible data to prevalence measurements of dual treponemal and non-treponemal testing limited estimates to 85 countries; of these, 45 countries (53%) showed a decrease. These standardized trend estimates highlight the need for increased investment in national syphilis surveillance and control efforts if the World Health Organization target of a 90% reduction in the incidence of syphilis between 2018 and 2030 is to be met.
Published: 2018

8. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013

Author: Meghan D. Mooney, Ken Takahashi, Andrea Stewart, Jonathan C Brown, Shireen Sindi, Amany H Refaat, Ruben Castro, Sara Sheikhbahaei, Kyle R. Heuton, Gillian M. Hansen, Chante Karimkhani, Bryan K. Phillips, Ibrahim Abubakar, Yohannes Kinfu, Victoria F Bachman, Konstantinos Stroumpoulis, Megan Coggeshall, Lucía Cuevas-Nasu, Yichong Li, Vineet K. Chadha, Andrew G. M. Bulloch, Takayoshi Ohkubo, Don C. Des Jarlais, Giancarlo Logroscino, Francis Apolinary Mhimbira, Jefferson G Fernandes, Cheng Huang, Ejaz Ahmad Khan, Fortuné Gbètoho Gankpé, Roderick J Hay, Itamar S. Santos, Zanfina Ademi, Fiona J Charlson, Norlinah Mohamed Ibrahim, Anwar Rafay, Andrew L. Thorne-Lyman, Juanita A. Haagsma, Emmanuel A. Ameh, John J. McGrath, Massimo Cirillo, Wubegzier Mekonnen, Holly Hagan, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Dietrich Plass, Matias Trillini, David Phillips, Braden Te Ao, Wanqing Chen, Yun Jin Kim, David Rojas-Rueda, Christina Papachristou, Andrew E. Moran, Richard A. Gosselin, Maziar Moradi-Lakeh, Soraya Seedat, Janet L Leasher, Belinda K Lloyd, Lorenzo Monasta, Bruno F. Sunguya, Eun-Kee Park, Eduardo A. Undurraga, Mohammad A. AlMazroa, Mohammad H. Forouzanfar, Young-Ho Khang, Vasiliki Stathopoulou, Dima M. Qato, James Scott, Ileana Heredia-Pi, Luca Ronfani, Haidong Kan, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Taavi Tillmann, Wang Wenzhi, Neil Pearce, Eric Y. Tenkorang, Aliya Naheed, Ferrán Catalá-López, Sudan Prasad Neupane, Emily Dansereau, Michael McKee, Derrick A Bennett, Mazeda Hossain, Paul S. F. Yip, Grant Nguyen, Norberto Perico, Miguel Angel Alegretti, Babak Eshrati, Boris Bikbov, Palwasha Anwari, Guoqing Hu, Amelia Bertozzi-Villa, Peter A. Meaney, Farshad Farzadfar, Svetlana Popova, Tara Templin, Hmwe H Kyu, Uche S. Uchendu, Kebede Deribe, Sergey Soshnikov, Nobhojit Roy, Daniel Kim, Ilana N. Ackerman, Homie Razavi, Leslie T. Cooper, Sandra Nolte, David T. Felson, John J Huang, Yang Liu, Fiorella Cavalleri, Adrian Davis, Héctor Gómez Dantés, Klara Dokova, Yuantao Hao, Catalina Medina, Austin E Schumacher, Stan Biryukov, Jane Rowley, Arindam Basu, Jose C. Adsuar, Rosana E. Norman, Yousef Khader, Rafael Alfonso-Cristancho, Sukanta Saha, Simón Barquera, Diego Gonzalez-Medina, Philip B. Mitchell, Lars Barregard, Haidong Wang, Yongmei Li, Ami R. Moore, Marie Ng, Raghib Ali, Peter T. Serina, Lijing L Yan, Ayse Abbasoglu Ozgoren, Ricky Leung, Michelle L. Bell, Tim Driscoll, Azmeraw T. Amare, Farshad Pourmalek, Tea Lallukka, Benjamin O Anderson, Raimundas Lunevicius, Corine Karema, Robert G. Weintraub, Erin C Mullany, Anders Larsson, Glen Mola, Paulo A. Lotufo, Luke Nyakarahuka, Sayed Saidul Alam, Louisa Degenhardt, Hugh R. Taylor, E. 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Albittar, Sarah Derrett, Mohammad Yahya Saeedi, Traolach S. Brugha, Jan Hendrik Richardus, Alireza Esteghamati, Seok Jun Yoon, Josep Maria Haro, Michael Brainin, Ziad A. Memish, Rupert R A Bourne, Katherine B Gibney, David M. Pereira, Kathryn H. Jacobsen, Luc E. Coffeng, Joshua A. Salomon, Xia Wan, Ian Bolliger, Boris I. Pavlin, Karen Sliwa, Tati S. Warouw, Geoffrey Buckle, Chakib Nejjari, Diego De Leo, Ashkan Afshin, Vinay Nangia, Daniel Pope, Johanna M. Geleijnse, Nikhil Tandon, Kelly Bienhoff, Jed D. Blore, Walid Ammar, D. Allen Roberts, Elisabete Weiderpass, Gregory A. Roth, Manami Inoue, James D. Wilkinson, Hideaki Toyoshima, Soufiane Boufous, Ivy Shiue, Edward J Mills, Leilei Duan, Matthew M Coates, Ganesan Karthikeyan, Alberto Ortiz, Steven van de Vijver, David Carpenter, Suzanne Lyn Barker-Collo, Antony Stevens, Sanjay Basu, Maria Cecilia Bahit, Kaire Innos, Lindsay N. Boyers, Nicholas J K Breitborde, Alize J. Ferrari, Timothy M. Wolock, Simerjot K. Jassal, Mohammad Ali Sahraian, Joanna Moschandreas, Howard J. Hoffman, Hideki Higashi, George M. Ruhago, Karzan Abdulmuhsin Mohammad, Mohammed Basulaiman, D. Alex Quistberg, Justin Beardsley, Marcello Tonelli, Maurice Giroud, Karen Edmond, Norito Kawakami, Mohammad T Mashal, Neeraj Bhala, Carl Abelardo T. Antonio, David Tanne, Abhishek Singh, Kazem Rahimi, Vivekanand Jha, Wagner Marcenes, David J. Margolis, Yara A. Halasa, Zewdie Aderaw Alemu, Carrie Beth Peterson, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Robyn M. Lucas, Sarah Wulf, Lars Jacob Stovner, Mohsen Naghavi, Vegard Skirbekk, Ulrich Otto Mueller, Pengpeng Ye, Ali H. Mokdad, Dipan Bose, Saleem M Rana, Jeffrey D Stanaway, Abigail Mclain, Timothy J. Steiner, Amira Shaheen, Stein Emil Vollset, Andrea Werdecker, Michele Meltzer, Richie G Poulton, Joseph R. Masci, Inga Dora Sigfusdottir, Daniel Dicker, Maysaa El Sayed Zaki, Shiwei Liu, Julio C. Montañez Hernandez, Valentina Arsić Arsenijević, William Msemburi, Lope H Barrero, Linhong Wang, Soumya Swaminathan, Harvey Whiteford, Michael F. Macintyre, Berrak Bora Basara, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Carolyn C. Gotay, Niveen M E Abu-Rmeileh, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Neil McGill, Murray, Christopher J. L, Barber, Ryan M., Foreman, Kyle J., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw F., Aboyans, Victor, Abraham, Jerry P., Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M., Achoki, Tom, Ackerman, Ilana N., Ademi, Zanfina, Adou, Arsène K., Adsuar, José C., Afshin, Ashkan, Agardh, Emilie E., Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I., Alegretti, Miguel A., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Françoi, Allebeck, Peter, Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Heresh, Ammar, Walid, Anderson, H. Ro, Anderson, Benjamin O., Antonio, Carl Abelardo T., Anwari, Palwasha, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Avila, Marco A., Awuah, Baffour, Bachman, Victoria F., Badawi, Alaa, Bahit, Maria C., Balakrishnan, Kalpana, Banerjee, Amitava, Barker-Collo, Suzanne L., Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O., Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bekele, Tolesa, Bell, Michelle L., Benjet, Corina, Bennett, Derrick A., Bensenor, Isabela M., Benzian, Habib, Bernabé, Eduardo, Bertozzi-Villa, Amelia, Beyene, Tariku J., Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A., Bienhoff, Kelly, Bikbov, Bori, Biryukov, Stan, Blore, Jed D., Blosser, Christopher D., Blyth, Fiona M., Bohensky, Megan A., Bolliger, Ian W., Başara, Berrak Bora, Bornstein, Natan M., Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R. A., Boyers, Lindsay N., Brainin, Michael, Brayne, Carol E., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briggs, Adam D., Brooks, Peter M., Brown, Jonathan C., Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Budke, Christine M., Bulchis, Anne, Bulloch, Andrew G., Campos-Nonato, Ismael R., Carabin, Hélène, Carapetis, Jonathan R., Cárdenas, Rosario, 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, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Cirillo, Massimo, Coates, Matthew M., Coffeng, Luc E., Coggeshall, Megan S., Colistro, Valentina, Colquhoun, Samantha M., Cooke, Graham S., Cooper, Cyru, Cooper, Leslie T., Coppola, Luis M., Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Dargan, Paul I., Davey, Gail, Davis, Adrian, Davitoiu, Dragos V., Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L., Dokova, Klara, Dorsey, E Ray, Driscoll, Tim R., Duan, Leilei, Duber, Herbert C., Ebel, Beth E., Edmond, Karen M., Elshrek, Yousef M., Endres, Matthia, Ermakov, Sergey P., Erskine, Holly E., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose A., Farzadfar, Farshad, Fay, Derek F., Feigin, Valery L., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferrari, Alize J., Fitzmaurice, Christina, Flaxman, Abraham D., Fleming, Thomas D., Foigt, Nataliya, Forouzanfar, Mohammad H., Fowkes, F Gerry R., Paleo, Urbano Fra., Franklin, Richard C., Fürst, Thoma, Gabbe, Belinda, Gaffikin, Lynne, Gankpé, Fortuné G., Geleijnse, Johanna M., Gessner, Bradford D., Gething, Peter, Gibney, Katherine B., Giroud, Maurice, Giussani, Giorgia, Dantes, Hector Gomez, Gona, Philimon, González-Medina, Diego, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Graetz, Nichola, Gugnani, Harish C., Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A., Haagsma, Juanita, Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara A., Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hancock, Jamie, Hankey, Graeme J., Hansen, Gillian M., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I., Hay, Roderick J., Heredia-Pi, Ileana B., Heuton, Kyle R., Heydarpour, Pouria, Higashi, Hideki, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hosgood, H Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J., Husseini, Abdullatif, Huynh, Chantal, Iannarone, Marissa L., Iburg, Kim M., Innos, Kaire, Inoue, Manami, Islami, Farhad, Jacobsen, Kathryn H., Jarvis, Deborah L., Jassal, Simerjot K., Jee, Sun Ha, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Juel, Knud, Kan, Haidong, Karch, André, Karema, Corine K., Karimkhani, Chante, Karthikeyan, Ganesan, Kassebaum, Nicholas J., Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kemp, Andrew H., Kengne, Andre P., Keren, Andre, Khader, Yousef S., Khalifa, Shams Eldin A., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kinfu, Yohanne, Kinge, Jonas M., Kivipelto, Miia, Knibbs, Luke D., Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G Anil, Kyu, Hmwe H., Lai, Taavi, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larsson, Ander, Lawrynowicz, Alicia E. B., Leasher, Janet L., Leigh, Jame, Leung, Ricky, Levitz, Carly E., Li, Bin, Li, Yichong, Li, Yongmei, Lim, Stephen S., Lind, Maggie, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., Lofgren, Katherine T., Logroscino, Giancarlo, Looker, Katharine J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Lozano, Rafael, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macintyre, Michael F., Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Marcenes, Wagner, Margolis, David J., Margono, Christopher, Marzan, Melvin B., Masci, Joseph R., Mashal, Mohammad T., Matzopoulos, Richard, Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abigail, Meaney, Peter A., Medina, Catalina, Mehndiratta, Man Mohan, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George A., Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L. D., Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Montine, Thomas J., Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moran, Andrew E., Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline L., Mozaffarian, Dariush, Msemburi, William T., Mueller, Ulrich O., Mukaigawara, Mitsuru, Mullany, Erin C., Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K M. Venkat, Nejjari, Chakib, Neupane, Sudan P., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nguyen, Grant, Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Ohno, Summer L., Olusanya, Bolajoko O., Opio, John Nelson, Ortblad, Katrina, Ortiz, Alberto, Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Patten, Scott B., Patton, George C., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, Bryan K., Phillips, David E., Piel, Frédéric B., Plass, Dietrich, Poenaru, Dan, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Pullan, Rachel L., Qato, Dima M., Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahman, Sajjad U., Raju, Murugesan, Rana, Saleem M., Razavi, Homie, Reddy, K Srinath, Refaat, Amany, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Richardson, Lee, Richardus, Jan Hendrik, Roberts, D Allen, Rojas-Rueda, David, Ronfani, Luca, Roth, Gregory A., Rothenbacher, Dietrich, Rothstein, David H., Rowley, Jane T., Roy, Nobhojit, Ruhago, George M., Saeedi, Mohammad Y., Saha, Sukanta, Sahraian, Mohammad Ali, Sampson, Uchechukwu K. A., Sanabria, Juan R., Sandar, Logan, Santos, Itamar S., Satpathy, Maheswar, Sawhney, Monika, Scarborough, Peter, Schneider, Ione J., Schöttker, Ben, Schumacher, Austin E., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serina, Peter T., Servan-Mori, Edson E., Shackelford, Katya A., Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Slepak, Erica Leigh, Sliwa, Karen, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Stein, Dan J., Stein, Murray B., Steiner, Caitlyn, Steiner, Timothy J., Stevens, Antony, Stewart, Andrea, Stovner, Lars J., Stroumpoulis, Konstantino, Sunguya, Bruno F., Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Tediosi, Fabrizio, Temesgen, Awoke M., Templin, Tara, Ten Have, Margreet, Tenkorang, Eric Y., Terkawi, Abdullah S., Thomson, Blake, Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Tillmann, Taavi, Tonelli, Marcello, Topouzis, Foti, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trillini, Matia, Truelsen, Thoma, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Vasankari, Tommi J., Venketasubramanian, N, Violante, Francesco S., Vlassov, Vasiliy V., Vollset, Stein Emil, Wagner, Gregory R., Wagner, Joseph, Waller, Stephen G., Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Wenzhi, Wang, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wilkinson, James D., Williams, Thomas N., Wolfe, Charles D., Wolock, Timothy M., Woolf, Anthony D., Wulf, Sarah, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L., Yano, Yuichiro, Ye, Pengpeng, Yentür, Gökalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Maysaa E., Zhao, Yong, Zheng, Yingfeng, Zonies, David, Zou, Xiaonong, Salomon, Joshua A., Lopez, Alan D., Vos, Theo, Medische Sociologie, MUMC+: Hersen en Zenuw Centrum (3), MUMC+: MA Psychiatrie (3), Psychiatrie & Neuropsychologie, Barber, Ryan M, Foreman, Kyle J, Abd Allah, Foad, Abera, Semaw F, Abraham, Jerry P, Abu Raddad, Laith J, Abu Rmeileh, Niveen M, Ackerman, Ilana N, Adou, Arsène K, Adsuar, José C, Agardh, Emilie E, Albittar, Mohammed I, Alegretti, Miguel A, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Almazroa, Mohammad A, Alvis Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Anderson, Benjamin O, Antonio, Carl Abelardo T, Asghar, Rana J, Atkins, Lydia S, Avila, Marco A, Bachman, Victoria F, Bahit, Maria C, Barker Collo, Suzanne L, Barrero, Lope H, Basulaiman, Mohammed O, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Bertozzi Villa, Amelia, Beyene, Tariku J, Bhutta, Zulfiqar A, Blore, Jed D, Blosser, Christopher D, Blyth, Fiona M, Bohensky, Megan A, Bolliger, Ian W, Bornstein, Natan M, Bourne, Rupert R. A, Boyers, Lindsay N, Brayne, Carol E, Breitborde, Nicholas J. K, Briggs, Adam D, Brooks, Peter M, Brown, Jonathan C, Brugha, Traolach S, Buckle, Geoffrey C, Budke, Christine M, Bulloch, Andrew G, Campos Nonato, Ismael R, Carapetis, Jonathan R, Carpenter, David O, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chiang, Peggy P, Chimed Ochir, Odgerel, Christophi, Costas A, Coates, Matthew M, Coffeng, Luc E, Coggeshall, Megan S, Colquhoun, Samantha M, Cooke, Graham S, Cooper, Leslie T, Coppola, Luis M, Criqui, Michael H, Crump, John A, Cuevas Nasu, Lucia, Dargan, Paul I, Davitoiu, Dragos V, Del Pozo Cruz, Borja, Dellavalle, Robert P, Jarlais, Don C. De, Dharmaratne, Samath D, Dherani, Mukesh K, Diaz Torné, Cesar, Ding, Eric L, Dorsey, E. 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Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iannarone, Marissa L, Iburg, Kim M, Jacobsen, Kathryn H, Jarvis, Deborah L, Jassal, Simerjot K, Jensen, Paul N, Jonas, Jost B, Karema, Corine K, Kassebaum, Nicholas J, Kemp, Andrew H, Kengne, Andre P, Khader, Yousef S, Khalifa, Shams Eldin A, Khan, Ejaz A, Khang, Young Ho, Kinge, Jonas M, Knibbs, Luke D, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G. Anil, Kyu, Hmwe H, Lansingh, Van C, Lawrynowicz, Alicia E. 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Venkat, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, Nisar, Muhammad I, Norheim, Ole F, Norman, Rosana E, Oh, In Hwan, Ohno, Summer L, Olusanya, Bolajoko O, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Park, Eun Kee, Park, Jae Hyun, Patten, Scott B, Patton, George C, Paul, Vinod K, Pavlin, Boris I, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Peterson, Carrie B, Phillips, Michael R, Phillips, Bryan K, Phillips, David E, Piel, Frédéric B, Poulton, Richie G, Prasad, Noela M, Pullan, Rachel L, Qato, Dima M, Quistberg, D. Alex, Rahman, Sajjad U, Rana, Saleem M, Reddy, K. Srinath, Ribeiro, Antonio L, Roberts, D. Allen, Rojas Rueda, David, Roth, Gregory A, Rothstein, David H, Rowley, Jane T, Ruhago, George M, Saeedi, Mohammad Y, Sampson, Uchechukwu K. A, Sanabria, Juan R, Santos, Itamar S, Schneider, Ione J, Schumacher, Austin E, Schwebel, David C, Scott, James G, Sepanlou, Sadaf G, Serina, Peter T, Servan Mori, Edson E, Shackelford, Katya A, Shrime, Mark G, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Singh, Jasvinder A, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stein, Dan J, Stein, Murray B, Steiner, Timothy J, Stovner, Lars J, Sunguya, Bruno F, Sykes, Bryan L, Tabb, Karen M, Taylor, Hugh R, Ao, Braden J. Te, Temesgen, Awoke M, Tenkorang, Eric Y, Terkawi, Abdullah S, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tran, Bach X, Tuzcu, Emin M, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uzun, Selen B, Van Brakel, Wim H, van Gool, Coen H, Vasankari, Tommi J, Violante, Francesco S, Vlassov, Vasiliy V, Wagner, Gregory R, Waller, Stephen G, Warouw, Tati S, Weintraub, Robert G, Whiteford, Harvey A, Wilkinson, James D, Williams, Thomas N, Wolfe, Charles D, Wolock, Timothy M, Woolf, Anthony D, Yan, Lijing L, Yentür, Gökalp K, Yoon, Seok Jun, Younis, Mustafa Z, Zaki, Maysaa E, Salomon, Joshua A, Lopez, Alan D, Computational Science and Engineering Department [Daresbury] ( STFC ), Science & Technologie Facilities Council, 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 ), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Weill Cornell Medical College - Qatar, Qatar Foundation - Education City, Doha, 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, Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Wisconsin Division of Public Health, 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], Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, University of Southampton [Southampton], Imperial College London, Neurology Department, Ichilov Medical Center, Department of Public Health and Primary Care, Cambridge University, Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Université de Tours, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institute of Parasitology, 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 ), Multidisciplinary Nanotechnology Centre, Swansea University, Department of Computer Sciences [Scheffield], University of Sheffield [Sheffield], Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Glasgow Centre for Physical Organic Chemistry, University of Glasgow, King‘s College London, Université Panthéon-Sorbonne - 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UFR Médecine ( UGA UFRM ), Université Grenoble Alpes ( UGA ), Clinical Epidemiology and Aging Research, German Cancer Research Center, 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 ), Symantec, European Microsoft Innovation Center ( EMIC ), Microsoft Corporation [Redmond, Wash.], Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), Novartis institute for tropical diseases, 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 ), Departments of Anatomy and Cell Biology, Wayne State University School of Medicine, Departments of Ophthalmology, Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], 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 ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, Yale School of Medicine-Yale School of Medicine-Yale Stem Cell Center, 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 ), National Institutes of Health ( NIH ), Institute of Human Genetics, Bonn Universität [Bonn], Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] ( KTH ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, NICTA [Eveleigh], National ICT Australia [Sydney] ( NICTA ), Manchester Academic Health Sciences Centre, 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 ), German Research Centre for Geosciences - Helmholtz-Centre Potsdam ( GFZ ), 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 ), Neurorestoration Group, King‘s College London-Wolfson Centre for Age-related Diseases, Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), 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, Computational Science and Engineering Department [Daresbury] (STFC), 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), Weill Cornell Medicine [Qatar], 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), 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), Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, University of Southampton, University of Cambridge [UK] (CAM), Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours (UT), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Stanford University, Unité de recherche Virologie et Immunologie Moléculaires (VIM (UR 0892)), Institut National de la Recherche Agronomique (INRA), National University of Singapore (NUS), Université Paris 1 Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Paris 1 Panthéon-Sorbonne (UP1), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Arthritis Research UK Epidemiology Unit (MANCHESTER - Arthritis Research), Universidade do Porto = University of Porto, Advanced Laboratories on Embedded Systems [Roma] (ALES), Wageningen University and Research [Wageningen] (WUR), University of Oxford, Universitat Politècnica de Catalunya [Barcelona] (UPC), Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), University of Connecticut (UCONN), Norwegian Institute for Air Research (NILU), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Tehran, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), The George Washington University (GW), Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Catholique de Louvain = Catholic University of Louvain (UCL), Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), School of Physics and Astronomy [St Andrews], Tata Research Development and Design Center (TRDDC), MOLTECH-Anjou, Université d'Angers (UA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Swedish Defense Research Agency (FOI), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratory of Image Science and Technology [Nanjing] (LIST), 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 polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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), Department of Mechanical and Automation Engineering (CAD Laboratory), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana = University of Applied Sciences and Arts of Southern Switzerland [Manno] (SUPSI), Pennsylvania State University (Penn State), Penn State System-Penn State System, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Hong Kong Baptist University (HKBU), Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), University of Melbourne, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Otago [Dunedin, Nouvelle-Zélande], 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 Filho = São Paulo State University (UNESP), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), 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), European Microsoft Innovation Center (EMIC), Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Novartis Institute for Tropical Diseases (NITD), 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 Chile = University of Chile [Santiago] (UCHILE), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], 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)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven]-Yale School of Medicine [New Haven, Connecticut] (YSM), Nanoscience Institute (NEST), University of Pisa - Università di Pisa, Laboratory Of Immune Cell Biology (LICB), National Institutes of Health [Bethesda] (NIH), Rheinische Friedrich-Wilhelms-Universität Bonn, Royal Institute of Technology [Stockholm] (KTH ), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), National ICT Australia [Sydney] (NICTA), Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), 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 - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Kardiyoloji, 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), University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Unité de recherche Virologie et Immunologie Moléculaires (VIM), Université Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Panthéon-Sorbonne (UP1), Wageningen University and Research Centre [Wageningen] (WUR), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), 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), George Washington University (GW), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), 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, Université Catholique de Louvain (UCL), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), 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), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università della Svizzera italiana (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), California Institute of Technology (CALTECH)-NASA, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services Multimédia Mobiles (RS2M), Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Université Grenoble Alpes (UGA), Universidad de Santiago de Chile [Santiago] (USACH), Yale University [New Haven]-Yale University School of Medicine, Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Université de Nantes - Faculté des Sciences et des Techniques, Grelier, Elisabeth, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Universidade do Porto, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), 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, Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-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)-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 (Grenoble INP )-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]), Università degli studi di Bari Aldo Moro (UNIBA), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), 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)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Belfort-Montbeliard (UTBM), Institut de Chimie du CNRS (INC)-Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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), Wolfson Centre for Age-related Diseases-King‘s College London, Cell biology, Public Health, Epidemiology, Health Technology Assessment (HTA), Erasmus MC other, Pathology, and Cardiothoracic Surgery
Subjects: Gerontology, Male, CHANGING RELATION, Nutrition and Disease, MESH : Life Expectancy, MESH : Aged, ECONOMIC-DEVELOPMENT, Poison control, MESH: Global Health, Global Health, Socioeconomic Factor, Communicable Disease, MESH : Chronic Disease, Health Transition, Voeding en Ziekte, Quality-Adjusted Life Year, SELF-RATED HEALTH, MESH : Socioeconomic Factors, Medicine, MESH : Female, MESH: Mortality, Premature, 2. Zero hunger, MESH: Aged, education.field_of_study, MESH: Middle Aged, Mortality rate, Medicine (all), GBD2013 diseases, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, General Medicine, Middle Aged, 3. Good health, MESH : Wounds and Injuries, Epidemiological transition, MESH: Quality-Adjusted Life Years, MESH: Communicable Diseases, NONCOMMUNICABLE DISEASES, Female, Quality-Adjusted Life Years, MESH: Life Expectancy, MESH: Health Transition, Human, MESH: Socioeconomic Factors, ACUTE MYOCARDIAL-INFARCTION, MESH : Male, MORTALITY TRENDS, Population, MESH : Health Transition, Communicable Diseases, Article, Life Expectancy, EUROPEAN-UNION, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Disability-adjusted life year, Humans, Life Science, MESH : Middle Aged, Mortality, education, Premature, MESH : Mortality, Premature, VLAG, Aged, MESH: Humans, business.industry, Mortality, Premature, MESH: Chronic Disease, MESH : Communicable Diseases, Wounds and Injurie, MESH : Humans, MESH : Quality-Adjusted Life Years, Non-communicable disease, Chronic Disease, Socioeconomic Factors, Wounds and Injuries, medicine.disease, MESH: Male, LOW SOCIOECONOMIC-STATUS, Years of potential life lost, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Wounds and Injuries, Life expectancy, RISK-FACTORS, MESH : Global Health, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH: Female, Demography
Abstract: Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Funding Bill & Melinda Gates Foundation. BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.
Published: 2015
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9. Adult gonorrhea, chlamydia and syphilis prevalence, incidence, treatment and syndromic case reporting in South Africa: Estimates using the Spectrum-STI model, 1990-2017

Author: Ronelle Niit, Jane Rowley, Leigh F. Johnson, Remco P. H. Peters, Tendesayi Kufa-Chakezha, Eline L. Korenromp, Ranmini Kularatne, and Melanie M. Taylor
Subjects: Bacterial Diseases, Male, Epidemiology, Maternal Health, Gonorrhea, Prevalence, lcsh:Medicine, urologic and male genital diseases, Geographical locations, Treponematoses, Chlamydia Infection, South Africa, 0302 clinical medicine, Medicine and Health Sciences, Medicine, 030212 general & internal medicine, Young adult, Chlamydia, lcsh:Science, Antiinfective agent, Multidisciplinary, Incidence, Middle Aged, female genital diseases and pregnancy complications, Infectious Diseases, Female, 0305 other medical science, Research Article, Neglected Tropical Diseases, Adult, medicine.medical_specialty, Adolescent, Urology, Sexually Transmitted Diseases, Microbiology, 03 medical and health sciences, Young Adult, Antenatal Care, Microbial Control, Drug Resistance, Bacterial, Adults, Humans, Urethritis, Syphilis, Pharmacology, 030505 public health, Bacteria, business.industry, Genitourinary Infections, lcsh:R, Organisms, Biology and Life Sciences, Chlamydia Infections, medicine.disease, Tropical Diseases, Age Groups, Africa, Women's Health, Population Groupings, lcsh:Q, Antimicrobial Resistance, People and places, business, Demography
Abstract: Objectives To estimate trends in prevalence and incidence of syphilis, gonorrhea and chlamydia in adult men and women in South Africa. Methods The Spectrum-STI tool estimated trends in prevalence and incidence of active syphilis, gonorrhea and chlamydia, fitting South African prevalence data. Results were used, alongside programmatic surveillance data, to estimate trends in incident gonorrhea cases resistant to first-line treatment, and the reporting gap of symptomatic male gonorrhea and chlamydia cases treated but not reported as cases of urethritis syndrome. Results In 2017 adult (15–49 years) the estimated female and male prevalences for syphilis were 0.50% (95% CI: 0.32–0.80%) and 0.97% (0.19–2.28%), for gonorrhea 6.6% (3.8–10.8%) and 3.5% (1.7–6.1%), and for chlamydia 14.7% (9.9–21%) and 6.0% (3.8–10.4%), respectively. Between 1990 and 2017 the estimated prevalence of syphilis declined steadily in women and men, probably in part reflecting improved treatment coverage. For gonorrhea and chlamydia, estimated prevalence and incidence showed no consistent time trend in either women or men. Despite growing annual numbers of gonorrhea cases − reflecting population growth − the estimated number of first line treatment-resistant gonorrhea cases did not increase between 2008 and 2017, owing to changes in first-line antimicrobial treatment regimens for gonorrhea in 2008 and 2014/5. Case reporting completeness among treated male urethritis syndrome episodes was estimated at 10–28% in 2017. Conclusion South Africa continues to suffer a high STI burden. Improvements in access and quality of maternal, STI and HIV health care services likely contributed to the decline in syphilis prevalence. The lack of any decline in gonorrhea and chlamydia prevalence highlights the need to enhance STI services beyond clinic-based syndromic case management, to reinvigorate primary STI and HIV prevention and, especially for women, to screen for asymptomatic infections.
Published: 2018

10. The prevalence and incidence of active syphilis in women in Morocco, 1995-2016: Model-based estimation and implications for STI surveillance

Author: Mohamed Youbi, Guy Mahiané, Amina Hançali, Aziza Bennani, Alex Smolak, Laith J. Abu-Raddad, Eline L. Korenromp, Houssine El-Rhilani, Jane Rowley, John Stover, Amina El-Kettani, Kamal Alami, and Melanie M. Taylor
Subjects: Bacterial Diseases, RNA viruses, Pediatrics, Epidemiology, Maternal Health, lcsh:Medicine, Logistic regression, Pathology and Laboratory Medicine, Global Health, Treponematoses, Geographical Locations, 0302 clinical medicine, Immunodeficiency Viruses, Medicine and Health Sciences, Prevalence, Public and Occupational Health, 030212 general & internal medicine, lcsh:Science, education.field_of_study, Multidisciplinary, Incidence (epidemiology), Incidence, 3. Good health, Morocco, Infectious Diseases, Family planning, HIV epidemiology, Medical Microbiology, Viral Pathogens, Population Surveillance, Viruses, Female, Pathogens, 0305 other medical science, Research Article, Neglected Tropical Diseases, medicine.medical_specialty, Urology, Population, Sexually Transmitted Diseases, Microbiology, History, 21st Century, 03 medical and health sciences, Antenatal Care, Retroviruses, medicine, Adults, Humans, Syphilis, education, Microbial Pathogens, Estimation, 030505 public health, business.industry, Genitourinary Infections, lcsh:R, Lentivirus, Organisms, Biology and Life Sciences, HIV, History, 20th Century, Models, Theoretical, medicine.disease, Tropical Diseases, Congenital Syphilis, Congenital syphilis, Age Groups, People and Places, Africa, Women's Health, lcsh:Q, Population Groupings, business, Demography
Abstract: Background Evolving health priorities and resource constraints mean that countries require data on trends in sexually transmitted infections (STI) burden, to inform program planning and resource allocation. We applied the Spectrum STI estimation tool to estimate the prevalence and incidence of active syphilis in adult women in Morocco over 1995 to 2016. The results from the analysis are being used to inform Morocco's national HIV/STI strategy, target setting and program evaluation. Methods Syphilis prevalence levels and trends were fitted through logistic regression to data from surveys in antenatal clinics, women attending family planning clinics and other general adult populations, as available post-1995. Prevalence data were adjusted for diagnostic test performance, and for the contribution of higher-risk populations not sampled in surveys. Incidence was inferred from prevalence by adjusting for the average duration of infection with active syphilis. Results In 2016, active syphilis prevalence was estimated to be 0.56% in women 15 to 49 years of age (95% confidence interval, CI: 0.3%-1.0%), and around 21,675 (10,612-37,198) new syphilis infections have occurred. The analysis shows a steady decline in prevalence from 1995, when the prevalence was estimated to be 1.8% (1.0-3.5%). The decline was consistent with decreasing prevalences observed in TB patients, fishermen and prisoners followed over 2000-2012 through sentinel surveillance, and with a decline since 2003 in national HIV incidence estimated earlier through independent modelling. Conclusions Periodic population-based surveys allowed Morocco to estimate syphilis prevalence and incidence trends. This first-ever undertaking engaged and focused national stakeholders, and confirmed the still considerable syphilis burden. The latest survey was done in 2012 and so the trends are relatively uncertain after 2012. From 2017 Morocco plans to implement a system to record data from routine antenatal programmatic screening, which should help update and re-calibrate next trend estimations.
Published: 2017

11. Chlamydia, gonorrhoea, trichomoniasis and syphilis: global prevalence and incidence estimates, 2016

Author: Nicola Low, Soe Soe Thwin, Laith J. Abu-Raddad, Melanie M Taylor, R Matthew Chico, Nathalie Broutet, Eline L. Korenromp, Alex Smolak, Magnus Unemo, Jane Rowley, Sami L Gottlieb, Lori M. Newman, and Stephen Vander Hoorn
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, 030231 tropical medicine, Sexually Transmitted Diseases, Prevalence, Trichomonas Infections, 610 Medicine & health, Global Health, urologic and male genital diseases, Gonorrhea, Young Adult, 03 medical and health sciences, Health services, 0302 clinical medicine, 360 Social problems & social services, Global health, Humans, Medicine, Interatrial Block, Syphilis, Trichomoniasis, Chlamydia, business.industry, Obstetrics, Research, Incidence (epidemiology), Public Health, Environmental and Occupational Health, Chlamydia Infections, Middle Aged, medicine.disease, female genital diseases and pregnancy complications, Female, business
Abstract: To generate estimates of the global prevalence and incidence of urogenital infection with chlamydia, gonorrhoea, trichomoniasis and syphilis in women and men, aged 15-49 years, in 2016.For chlamydia, gonorrhoea and trichomoniasis, we systematically searched for studies conducted between 2009 and 2016 reporting prevalence. We also consulted regional experts. To generate estimates, we used Bayesian meta-analysis. For syphilis, we aggregated the national estimates generated by using Spectrum-STI.For chlamydia, gonorrhoea and/or trichomoniasis, 130 studies were eligible. For syphilis, the Spectrum-STI database contained 978 data points for the same period. The 2016 global prevalence estimates in women were: chlamydia 3.8% (95% uncertainty interval, UI: 3.3-4.5); gonorrhoea 0.9% (95% UI: 0.7-1.1); trichomoniasis 5.3% (95% UI:4.0-7.2); and syphilis 0.5% (95% UI: 0.4-0.6). In men prevalence estimates were: chlamydia 2.7% (95% UI: 1.9-3.7); gonorrhoea 0.7% (95% UI: 0.5-1.1); trichomoniasis 0.6% (95% UI: 0.4-0.9); and syphilis 0.5% (95% UI: 0.4-0.6). Total estimated incident cases were 376.4 million: 127.2 million (95% UI: 95.1-165.9 million) chlamydia cases; 86.9 million (95% UI: 58.6-123.4 million) gonorrhoea cases; 156.0 million (95% UI: 103.4-231.2 million) trichomoniasis cases; and 6.3 million (95% UI: 5.5-7.1 million) syphilis cases.Global estimates of prevalence and incidence of these four curable sexually transmitted infections remain high. The study highlights the need to expand data collection efforts at country level and provides an initial baseline for monitoring progress of theProduire des estimations de la prévalence et de l'incidence mondiales des infections urogénitales dues à la chlamydiose, à la gonorrhée, à la trichomonase et à la syphilis chez les femmes et les hommes de 15 à 49 ans, en 2016.Pour la chlamydiose, la gonorrhée et la trichomonase, nous avons systématiquement recherché les études menées entre 2009 et 2016 qui s’intéressaient à la prévalence. Nous avons également consulté des experts régionaux. Pour produire des estimations, nous avons eu recours à une méta-analyse bayésienne. Pour la syphilis, nous avons regroupé les estimations nationales obtenues à l'aide de Spectrum-STI.Pour la chlamydiose, la gonorrhée et/ou la trichomonase, 130 études étaient éligibles. Pour la syphilis, la base de données de Spectrum-STI contenait 978 points de données pour la période considérée. Les estimations de la prévalence mondiale en 2016 chez les femmes étaient les suivantes: chlamydiose 3,8% (intervalle d'incertitude de 95%, II: 3,3–4,5); gonorrhée 0,9% (II 95%: 0,7–1,1); trichomonase 5,3% (II 95%: 4,0–7,2); et syphilis 0,5% (II 95%: 0,4–0,6). Chez les hommes, les estimations de la prévalence étaient les suivantes: chlamydiose 2,7% (II 95%: 1,9-3,7); gonorrhée 0,7% (II 95%: 0,5-1,1); trichomonase 0,6% (II 95%: 0,4-0,9); et syphilis 0,5% (II 95%: 0,4–0,6). L'incidence totale estimée était de 376,4 millions de cas: 127,2 millions (II 95%: 95,1–165,9 millions) de cas de chlamydiose; 86,9 millions (II 95%: 58,6-123,4 millions) de cas de gonorrhée; 156,0 millions (II 95%: 103,4-231,2 millions) de cas de trichomonase; et 6,3 millions (II 95%: 5,5–7,1 millions) de cas de syphilis.Les estimations mondiales de la prévalence et de l'incidence de ces quatre infections sexuellement transmissibles guérissables restent élevées. Cette étude souligne la nécessité d'amplifier les efforts de collecte de données au niveau des pays et offre un point de référence pour suivre la progression de laGenerar estimaciones de la prevalencia y la incidencia mundiales de la infección urogenital por clamidia, gonorrea, tricomoniasis y sífilis en mujeres y hombres de 15 a 49 años de edad en 2016.Para la clamidia, la gonorrea y la tricomoniasis, se realizaron búsquedas sistemáticas de estudios realizados entre 2009 y 2016 que registrasen la prevalencia. También se consultó a expertos regionales. Para generar estimaciones, se utilizó el metanálisis bayesiano. Para la sífilis, se añadieron las estimaciones nacionales generadas por el uso de Spectrum-STI.Para la clamidia, la gonorrea y/o la tricomoniasis, hubo 130 estudios que cumplían los criterios. Para la sífilis, la base de datos Spectrum-STI contenía 978 puntos de datos para el mismo periodo. Las estimaciones de prevalencia mundial en mujeres en 2016 fueron: clamidia 3,8 % (intervalo de incertidumbre, II, del 95 %: 3,3-4,5); gonorrea 0,9 % (II del 95 %: 0,7-1,1); tricomoniasis 5,3 % (II del 95 %: 4,0-7,2); y sífilis 0,5 % (II del 95 %: 0,4-0,6). Las estimaciones de prevalencia en hombres fueron: clamidia 2,7 % (intervalo de incertidumbre, II, del 95 %: 1,9-3,7); gonorrea 0,7 % (II del 95 %: 0,5-1,1); tricomoniasis 0,6 % (II del 95 %: 0,4-0,9); y sífilis 0,5 % (II del 95 %: 0,4-0,6). El total estimado de casos incidentes fue de 376,4 millones: 127,2 millones (II del 95 %: 95,1-165,9 millones) de casos de clamidia; 86,9 millones (II del 95 %: 58,6-123,4 millones) de casos de gonorrea; 156,0 millones (II del 95 %: 103,4-231,2 millones) de casos de tricomoniasis; y 6,3 millones (II del 95 %: 5,5-7,1 millones) de casos de sífilis.Las estimaciones mundiales de la prevalencia y la incidencia de estas cuatro enfermedades de transmisión sexual curables siguen siendo elevadas. El estudio destaca la necesidad de ampliar los esfuerzos de recopilación de datos a nivel nacional y proporciona una base inicial para el seguimiento de los progresos de laوضع تقديرات للانتشار والإصابة العالمية لعدوى الجهاز البولي التناسلي، وأمراض الكلاميديا، والسيلان، وداء المشعرات، والزهري لدى النساء والرجال، الذين تتراوح أعمارهم بين 15 و49 سنة، في عام 2016.بالنسبة للكلاميديا، والسيلان، وداء المشعرات، فقد قمنا بالبحث بشكل منهجي عن الدراسات التي تمت خلال الفترة من 2009 إلى 2016 والتي توضح مدى الانتشار. كما قمنا باستشارة خبراء إقليميين. ولوضع التقديرات، قمنا باستخدام التحليل التلوي Bayesian. بالنسبة لمرض الزهري، قمنا بتجميع التقديرات الوطنية الناتجة عن استخدام Spectrum-STI.بالنسبة لأمراض الكلاميديا، والسيلان، وداء المشعرات، كانت هناك 130 دراسة مؤهلة. وبالنسبة لمرض الزهري، احتوت قادة بيانات Spectrum-STI على 978 نقطة بيانات لنفس الفترة. كانت تقديرات الانتشار العالمي في عام 2016 في النساء: الكلاميديا 3.8% (فاصل عدم الثقة 95%: 3.3 إلى 4.5)، والسيلان 0.9% (فاصل عدم الثقة 95%: 0.7 إلى 1.1)، وداء المشعرات 5.3% (فاصل عدم الثقة 95%: 4.0 إلى 7.2)؛ والزهري 0.5% (فاصل عدم الثقة 95%: 0.4 إلى 0.6). كانت تقديرات الانتشار في عام 2016 في الرجال: الكلاميديا 2.7% (فاصل عدم الثقة 95%: 1.9 إلى 3.7)، والسيلان 0.7% (فاصل عدم الثقة 95%: 0.5 إلى 1.1)، وداء المشعرات 0.6% (فاصل عدم الثقة 95%: 0.4 إلى 0.9)، والزهري 0.5% (فاصل عدم الثقة 95%: 0.4–0.6). بلغ مجموع حالات الإصابة التقديري 376.4 مليون حالة: 127.2 مليون (فاصل عدم الثقة 95%: 95.1 إلى 165.9 مليون) حالات الكلاميديا؛ 86.9 مليون (فاصل عدم الثقة 95%: 58.6 إلى 123.4 مليون) حالات السيلان؛ 156.0 مليون (فاصل عدم الثقة 95%: 103.4 إلى 231.2 مليون) حالات داء المشعرات؛ 6.3 مليون (فاصل عدم الثقة 95%: 5.5 إلى 7.1 مليون) حالات الزهري.لا تزال التقديرات العالمية عالية لانتشار والإصابة بهذه الأمراض الأربعة المنقولة جنسياً والعلاج منها. تسلط الدراسة الضوء على الحاجة إلى توسيع جهود جمع البيانات على مستوى الدول، وتوفر خط أساس أولي لمراقبة التقدم المحرز في إستراتيجية قطاع الصحة العالمية التابع لمنظمة الصحة العالمية بشأن الأمراض المنقولة جنسياً خلال الفترة من 2016 إلى 2021.旨在估计 2016 年 15-49 岁男女泌尿生殖系统感染衣原体病、淋病、滴虫病和梅毒的全球患病率和发病率。.对于衣原体病、淋病和滴虫病,我们系统搜索了 2009 年至 2016 年间的患病率报告研究。我们还咨询了区域专家。为了生成估计值,我们使用了贝叶斯荟萃分析。对于梅毒,我们汇总分析了使用 Spectrum-STI 生成的全国估计值。.对于衣原体病、淋病和/或滴虫病,符合要求的有 130 项研究。对于梅毒, Spectrum-STI 数据库包含了同一时期的 978 个数据点。2016 年,全球女性患病率估计值为:衣原体病 3.8%(95% 不确定区间,UI:3.3-4.5);淋病 0.9%(95% UI:0.7–1.1);滴虫病 5.3%(95% UI:4.0–7.2)和梅毒 0.5%(95% UI:0.4-0.6)。全球男性患病率估计值为:衣原体病 2.7%(95% UI:1.9-3.7);淋病 0.7%(95% UI:0.5-1.1);滴虫病 0.6%(95% UI:0.4-0.9);梅毒 0.5%(95% UI:0.4-0.6)。预计病例总数为 3.764 亿:1.272 亿(95% UI:9510-16590 万)衣原体病病例;8690 万(95% UI:5860-12340 万)淋病病例;15600 万(95% UI:10340-23120 万)滴虫病病例;630 万(95% UI:550-710 万)梅毒病例。.对这四种可治愈的性传播疾病的患病率和发病率的全球估计值仍然很高。该研究强调了扩大国家级数据收集工作的必要性,并为监测 2016 至 2021 年世卫组织全球卫生部门性传播疾病战略的进展提供了初始基线。.Оценить распространенность в мировом масштабе и частоту урогенитальных инфекций, вызываемых хламидией, а также гонореи, трихомониаза и сифилиса у мужчин и женщин в возрасте от 15 до 49 лет по состоянию на 2016 год.Для хламидиоза, гонореи и трихомониаза авторы провели систематический поиск исследований, выполненных в период с 2009 по 2016 год, в которых приводились данные по распространенности заболеваний. Авторы также консультировались с международными специалистами. Для оценки использовался байесовский метаанализ. Для исследования сифилиса нами были объединены национальные оценки, созданные с использованием методики Spectrum-STI.Было обнаружено 130 исследований на тему хламидийной инфекции, гонореи и (или) трихомониаза. Что касается сифилиса, база данных Spectrum-STI за тот же период содержала 978 источников данных. По состоянию на 2016 год распространенность изучаемых заболеваний в мире среди женщин составляла: хламидиоз 3,8% (95%-й интервал неопределенности, ИН: 3,3–4,5), гонорея 0,9% (95%-й ИН: 0,7–1,1), трихомониаз 5,3% (95%-й ИН: 4,0–7,2) и сифилис 0,5% (95%-й ИН: 0,4–0,6). У мужчин распространенность хламидиоза составила 2,7% (95%-й ИН: 1,9–3,7), гонореи 0,7% (95%-й ИН: 0,5–1,1), трихомониаза 0,6% (95%-й ИН: 0,4–0,9) и сифилиса 0,5% (95%-й ИН: 0,4–0,6). Общее приблизительное количество случаев заболевания составило 376,4 млн человек: 127,2 млн (95 %-й ИН: 95,1–165,9 млн) случаев хламидийной инфекции, 86,9 млн (95%-й ИН: 58,6–123,4 млн) случаев гонореи, 156,0 млн (95%-й ИН: 103,4–231,2 млн) случаев трихомониаза и 6,3 млн (95%-й ИН: 5,5–7,1 млн) случаев сифилиса.Оценки мировой распространенности и частоты этих четырех излечимых инфекций, передаваемых половым путем (ИППП), остаются высокими. Исследование показывает необходимость предпринимать дальнейшие усилия по сбору данных на уровне каждой страны и может служить источником базовых значений для мониторинга прогресса в исполнении глобальных стратегий ВОЗ в секторе здравоохранения относительно ИППП на период 2016–2021 гг.
Published: 2019
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12. Global Estimates of the Prevalence and Incidence of Four Curable Sexually Transmitted Infections in 2012 Based on Systematic Review and Global Reporting

Author: Marleen Temmerman, James Kiarie, Magnus Unemo, Sami L Gottlieb, Gretchen A Stevens, Nicola Low, Lori M. Newman, Jane Rowley, Stephen Vander Hoorn, and Nalinka Saman Wijesooriya
Subjects: Male, medicine.medical_specialty, Science, Sexually Transmitted Diseases, UNITED-STATES, 610 Medicine & health, Global Health, urologic and male genital diseases, DISEASE, 360 Social problems & social services, Epidemiology, Medicine and Health Sciences, Prevalence, medicine, Global health, Humans, Seroprevalence, RISK, Gynecology, Multidisciplinary, Trichomoniasis, Chlamydia, business.industry, Incidence, Incidence (epidemiology), Public health, medicine.disease, Medicine, Female, Syphilis, STI, business, Research Article, Demography
Abstract: BackgroundQuantifying sexually transmitted infection (STI) prevalence and incidence is important for planning interventions and advocating for resources. The World Health Organization (WHO) periodically estimates global and regional prevalence and incidence of four curable STIs: chlamydia, gonorrhoea, trichomoniasis and syphilis.Methods and findingsWHO's 2012 estimates were based upon literature reviews of prevalence data from 2005 through 2012 among general populations for genitourinary infection with chlamydia, gonorrhoea, and trichomoniasis, and nationally reported data on syphilis seroprevalence among antenatal care attendees. Data were standardized for laboratory test type, geography, age, and high risk subpopulations, and combined using a Bayesian meta-analytic approach. Regional incidence estimates were generated from prevalence estimates by adjusting for average duration of infection. In 2012, among women aged 15-49 years, the estimated global prevalence of chlamydia was 4.2% (95% uncertainty interval (UI): 3.7-4.7%), gonorrhoea 0.8% (0.6-1.0%), trichomoniasis 5.0% (4.0-6.4%), and syphilis 0.5% (0.4-0.6%); among men, estimated chlamydia prevalence was 2.7% (2.0-3.6%), gonorrhoea 0.6% (0.4-0.9%), trichomoniasis 0.6% (0.4-0.8%), and syphilis 0.48% (0.3-0.7%). These figures correspond to an estimated 131 million new cases of chlamydia (100-166 million), 78 million of gonorrhoea (53-110 million), 143 million of trichomoniasis (98-202 million), and 6 million of syphilis (4-8 million). Prevalence and incidence estimates varied by region and sex.ConclusionsEstimates of the global prevalence and incidence of chlamydia, gonorrhoea, trichomoniasis, and syphilis in adult women and men remain high, with nearly one million new infections with curable STI each day. The estimates highlight the urgent need for the public health community to ensure that well-recognized effective interventions for STI prevention, screening, diagnosis, and treatment are made more widely available. Improved estimation methods are needed to allow use of more varied data and generation of estimates at the national level.
Published: 2015
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13. Should trichiasis surgery be offered in the village? A community randomised trial of village vs. health centre-based surgery

Author: Gordon J. Johnson, Robin L. Bailey, Hannah Faal, Jane Rowley, Allen Foster, Richard Bowman, Neal Alexander, Paul Milligan, and O. S. Soma
Subjects: Male, medicine.medical_specialty, Cost effectiveness, Eye disease, Population, Medically Underserved Area, Blindness, World Health Organization, Health Services Accessibility, law.invention, Randomized controlled trial, law, medicine, Humans, Community Health Services, education, Trichiasis, Trachoma, Eyelashes, education.field_of_study, business.industry, Public Health, Environmental and Occupational Health, Middle Aged, medicine.disease, Confidence interval, Surgery, Clinical trial, Treatment Outcome, Infectious Diseases, Patient Compliance, Female, Gambia, Parasitology, business
Abstract: Surgery for trachomatous trichiasis prevents blindness and is advocated by the WHO as part of the Surgery Antibiotic therapy Facial cleanliness and Environmental improvement (SAFE) strategy for the global elimination of trachoma. The authors conducted a randomized community trial to investigate the effect of providing surgery in villages on surgical uptake in The Gambia. 56 villages from two divisions were assigned to eight pairs of clusters matched by geographical division and proximity. One cluster from each pair was randomly assigned to receive village-based surgery and the other cluster health center-based surgery. Outcome measures were uptake rates and surgical results after 1 week and 3 months. The paired t-test was used to analyze the results. Overall uptake was 66% in the village-based clusters and 44% in the health-center-based clusters. Subjects in the village-based surgery arm had significantly shorter journey times (P = 0.01) and lower costs (P = 0.002). The mean difference in absolute acceptance rates of surgery was 20% better in village-based clusters (95% confidence interval [CI] –9% to +49%; P = 0.15) which would equate to an improvement of 45% (95% CI -20% to 120%) on the average acceptance rates of 44% in the health center-based group. These results strongly suggest better surgical uptake when surgery is provided in patients villages due to lower cost to the patient time saved and less fear of operation. (authors)
Published: 2000
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14. Is there a role for glycosuria testing in sub-Saharan Africa?

Author: Hannah Faal, S. M. Ceesay, Jane Rowley, Winston A. S. Banya, Keith P. W. J. McAdam, M A B van der Sande, G. Walraven, Paul Milligan, Robin L. Bailey, and O. A. Nyan
Subjects: Adult, Blood Glucose, Male, Glycosuria, medicine.medical_specialty, Pediatrics, Urine, Overweight, Sensitivity and Specificity, Predictive Value of Tests, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Humans, Aged, Likelihood Functions, business.industry, Public Health, Environmental and Occupational Health, Fasting, Gold standard (test), Venous blood, Dipstick, Middle Aged, medicine.disease, Infectious Diseases, Endocrinology, Evaluation Studies as Topic, Predictive value of tests, Female, Gambia, Parasitology, medicine.symptom, business
Abstract: Summarybackground With increasing urbanization and westernization, rates of diabetes in sub-Saharan Africa (sSA) are likely to rise. Early detection and intervention plays an important role in delaying development of complications. In sSA in particular there is need for an affordable, reliable, safe, feasible test to avert human suffering and exhausting already stressed health facilities. methods Data from two large community-based studies were used to assess the value of glycosuria testing in the detection of diabetes in adults in a sub-Saharan country. A first study (A) tested participants for glycosuria by dipstick; if positive, fasting capillary glucose was measured. A later study (B) measured glucose concentration in venous blood 2 h after a 75-g glucose load; if glycaemia was ≥ 10 mmol/l, urine was tested for glycosuria. results The positive predictive value of glycosuria for a diagnosis of diabetes (fasting glucose ≥ 6.7 mmol/l) was 48%. Sensitivity was 64% (57% if a 2-h-value ≥ 10 mmol/l was used as gold standard). Sensitivity was higher among overweight and/or hypertensive subjects, among elderly people in the urban area, and among subjects with higher blood glucose levels. Extrapolated specificity was 99.7%, and the likelihood ratio 190. conclusions Glycosuria testing can identify a considerable number of undiagnosed diabetic patients when specially targeted at high-risk groups (obese, hypertensive, or elderly people). Dipstick glycosuria testing is an appropriate, safe, feasible test for sSA, where the prevalence of diabetes is expected to increase considerably in the near future.
Published: 1999
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15. Home treatment of 'malaria' in children in rural Gambia is uncommon

Author: Gijs Walraven, Jane Rowley, Siân E. Clarke, Steven W. Lindsay, and Claus Bøgh
Subjects: Adult, Male, medicine.medical_specialty, Pediatrics, Home Nursing, Population, Developing country, Rural Health, Antimalarials, Health facility, Chloroquine, Environmental health, Economic cost, medicine, Humans, education, Child, Aged, Government, education.field_of_study, business.industry, Public health, Public Health, Environmental and Occupational Health, Middle Aged, Patient Acceptance of Health Care, medicine.disease, Malaria, Infectious Diseases, Caregivers, Socioeconomic Factors, Parasitology, Female, Gambia, Health Expenditures, business, medicine.drug
Abstract: Home treatment with antimalarials is a common practice in many countries, and may save lives by ensuring that more malaria cases receive prompt treatment. Through retrospective surveys we found that home treatment of young children with antimalarials was uncommon in rural Gambia. Few families kept medicines in the home in case of illness, 28% kept paracetamol and only 8% kept chloroquine. Less than 10% of cases of childhood 'malaria' had been treated with chloroquine at home, and 69% of those giving home medication did not know the correct dosage for a child. The most common course of treatment was the use of paracetamol and/or tepid sponging to reduce fever, before the child was taken to a government health facility. Treating a child with antimalarials at home was more costly than other forms of treatment. The low cost associated with the use of health services for children and the limited availability of antimalarials outside major towns contribute to the high use of government health services. This shows that that home treatment cannot be assumed to be the predominant mode of malaria treatment throughout Africa, and highlights the need for country-specific policies based on accurate local knowledge of treatment practices in both rural and urban areas.
Published: 2003

16. Blood pressure patterns and cardiovascular risk factors in rural and urban gambian communities

Author: G. Walraven, M A B van der Sande, Jane Rowley, Paul Milligan, Wil M. V. Dolmans, Keith P. W. J. McAdam, O. A. Nyan, S. M. Ceesay, Winston A. S. Banya, and Th. Thien
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, Blood lipids, Blood Pressure, Rural Health, diagnostiek, farmacotherapie en therapietrouw. [Hypertensie], Risk Factors, Tropical Medicine, Diabetes mellitus, Environmental health, Internal Medicine, medicine, Prevalence, Humans, Risk factor, business.industry, Rural health, Public health, Urban Health, Tropische Geneeskunde, medicine.disease, Obesity, Surgery, Blood pressure, Cardiovascular Diseases, Hypertension, Patient Compliance, Female, Gambia, Rural area, business, diagnosis, (pharmaco)therapy and patient compliance [Hypertension]
Abstract: Hypertension is emerging as an important public health problem in sub-Saharan Africa. We studied blood pressure (BP) patterns, hypertension and other cardiovascular risk factors in a rural and an urban area of The Gambia. A total of 5389 adults (> or =15 years) were selected by cluster sampling in the capital Banjul and a rural area around Farafenni. A questionnaire was completed, BP, pulse rate, height and weight were recorded. Glucose was measured 2 h after a 75 g glucose load among participants > or =35 years (n = 2301); total cholesterol, triglycerides, creatinine and uric acid were measured among a stratified subsample (n = 1075). A total of 7.1% of the study participants had a BP > or =160/95 mm Hg; 18.4% of them had a BP > or =140/90 mm Hg. BP was significantly higher in the urban area. BP increased with age in both sexes in both areas. Increasing age was the major independent risk factor for hypertension. Related cardiovascular risk factors (obesity, diabetes and hyperlipidaemia) were significantly more prevalent in the urban area and among hypertensives; 17% of measured hypertensives were aware of this, 73% of people who reported to have been diagnosed as hypertensive before had discontinued treatment; 56% of those who reported being on treatment were normotensive. We conclude that hypertension is no longer rare in either urban or rural Gambians. In the urban site hypertension and related cardiovascular risk factors were more prevalent. Compliance with treatment was low. Interventions aimed at modifying risk factors at the population level, and at improving control of diagnosed hypertension are essential to prevent future increases of cardiovascular morbidity and mortality. In view of limited resources and feasibility of intervention in rural Gambia, these could initially be directed towards urbanised populations.
Published: 2000

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16 results on '"Jane Rowley"'

1. WHO method for estimating congenital syphilis to inform surveillance and service provision, Paraguay

2. Trends in adult chlamydia and gonorrhoea prevalence, incidence and urethral discharge case reporting in Mongolia from 1995 to 2016 – estimates using the Spectrum-STI model

3. Trends and Predictors of Syphilis Prevalence in the General Population: Global Pooled Analyses of 1103 Prevalence Measures Including 136 Million Syphilis Tests

4. Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016

5. Correction: Global burden of maternal and congenital syphilis and associated adverse birth outcomes—Estimates for 2016 and progress since 2012

6. The Spectrum-STI Groups model: syphilis prevalence trends across high-risk and lower-risk populations in Yunnan, China

7. Syphilis prevalence trends in adult women in 132 countries - estimations using the Spectrum Sexually Transmitted Infections model

8. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013

9. Adult gonorrhea, chlamydia and syphilis prevalence, incidence, treatment and syndromic case reporting in South Africa: Estimates using the Spectrum-STI model, 1990-2017

10. The prevalence and incidence of active syphilis in women in Morocco, 1995-2016: Model-based estimation and implications for STI surveillance

11. Chlamydia, gonorrhoea, trichomoniasis and syphilis: global prevalence and incidence estimates, 2016

12. Global Estimates of the Prevalence and Incidence of Four Curable Sexually Transmitted Infections in 2012 Based on Systematic Review and Global Reporting

13. Should trichiasis surgery be offered in the village? A community randomised trial of village vs. health centre-based surgery

14. Is there a role for glycosuria testing in sub-Saharan Africa?

15. Home treatment of 'malaria' in children in rural Gambia is uncommon

16. Blood pressure patterns and cardiovascular risk factors in rural and urban gambian communities

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