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1. Kinetic adsorption studies of methylene blue and crystal violet dyes removal in single and competitive systems using lemon peels/activated carbon/alginate composite

Author: Aichour, Amina, Djafer Khodja, Hakim, Zaghouane-Boudiaf, Hassina, Iborra, Cesar Viseras, and Polo, Manuel Sanchez
Published: 2024
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2. Sustainable remediation of a cationic dye in aqueous solutions using modified palm petiole as a highly efficient and reusable adsorbent

Author: Aichour, Amina, Djafer Khodja, Hakim, Benaidja, Dounia, Touahria, Youcef Islam, Zaghouane-Boudiaf, Hassina, and Iborra, Cesar Viseras
Published: 2024
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3. Sédimentation linguistique dans le parler des jeunes sétifiens

Author: Feiza AICHOUR
Subjects: Arts in general, NX1-820, Computational linguistics. Natural language processing, P98-98.5
Abstract: Résumé : Le brassage linguistique observé en Algérie a favorisé l’alternance codique. Le locuteur algérien alterne l’arabe dialectal et le français dans le même énoncé, voire dans la même lexie. Notre recherche porte sur le parler des jeunes sétifiens. Nous allons analyser les lexèmes employés/créés par les jeunes locuteurs, à travers une enquête sociolinguistique menée à l’université de Sétif-2-. Les résultats seront exposés dans cet article. Mots clés : Sédimentation linguistique ; alternance codique, parler des jeunes, jeunes sétifiens, université Sétif 2.
Published: 2024
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4. La créativité lexicale dans le parler des jeunes : cas d’étudiants de l’Université de Sétif-2

Author: Aichour FEIZA
Subjects: Language and Literature
Abstract: Résumé : La sociolinguistique s’est intéressée de près aux pratiques linguistiques des jeunes en tant que mode d’expression. Cette variété langagière appelée « parler des jeunes » fascine par son inventivité, c’est un espace dans lequel la créativité lexicale est maitresse à bord. Dans cet article, nous avons fait une enquête sociolinguistique à l’université de Sétif-2- afin de relever les néologismes employés/créés par les étudiants dans leur parler. Nous avons analysé ces néologismes sous un angle linguistique pour voir quels étaient les procédés de création lexicale utilisés par ces jeunes. Les résultats de cette enquête nous montrent que les jeunes font recours dans leur parler à l’emprunt, aux abréviations, ou encore à des métaphores. Mots-clés : le parler des jeunes ; la sociolinguistique ; la créativité lexicale ; les néologismes ; Université Sétif-2
Published: 2024
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5. Multivariate Statistical Analysis of Groundwater Quality in the Region of Hassi R'mel, Algeria

Author: Metaiche Mehdi, Djafer Khodja Hakim, Aichour Amina, and Gaci Nourredine
Subjects: groundwater, water quality, principal component analysis (pca), ascending hierarchical classification (hac), diagram analysis, hassi r'mel region, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350
Abstract: The quality of groundwater is characterized by a number of physical and chemical parameters, which in turn determine the way in which this water is used (water supply, irrigation, industry, etc.). This study constitutes a contribution to the highlighting of the hydrogeological and physico-chemical characteristics of the waters of the aquifer in question resulting from the various wells, which aims to; gather, exploit and analyze the data, in order to determine their conformity with potability standards and their suitability for irrigation. Using multivariate statistical techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (ACH) and Diagram Analysis. They are applied to a dataset composed of 17 boreholes with 12 chemical variables over the entire study area, they were sampled in 2020. These boreholes are the main water resources that supplies the region of Hassi R'mel in terms of drinking water and irrigation. Results showed that the majority of groundwater in the Hassi R'mel region is hard; where approximately 20% of boreholes are characterized by fairly soft water, and approximately 5% are characterized by very hard water.
Published: 2023
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6. Spatio-Temporal Dynamics of crAssphage and Bacterial Communities in an Algerian Watershed Impacted by Fecal Pollution

Author: Dalal Boulainine, Aziz Benhamrouche, Elisenda Ballesté, Samia Mezaache-Aichour, and Cristina García-Aljaro
Subjects: crAssphage, one health, 16S rRNA sequencing, Illumina, sewage, fecal pollution, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract: This study investigates the influence of urban pollution and climate dynamics on water quality and the bacterial communities in an Argelian watershed. Twenty-one sampling campaigns were conducted over two years at six sites along the Oued Boussellam, a river impacted by the effluent of a sewage treatment plant, from a low-polluted site to a water reservoir within a 50 km distance. Fecal indicators and the human fecal marker crAssphage were monitored. Illumina 16S rRNA amplicon sequencing was used to assess water microbial populations’ changes. Urban sewage discharge had an impact on the river quality and microbial ecosystem, which was attenuated along the river course. Significant reductions (>4 log10 for E. coli and somatic coliphages, >3 log10 for crAssphage) occurred, particularly during high-temperature periods. crAssphage correlated strongly with somatic coliphages downstream the river. Seasonal differences were observed in the diversity of the bacterial communities, with higher values during the high-temperature period. The genus-level community structure was similar at highly polluted river sites, also displaying seasonal differences. Despite high pollution levels, natural processes reduced fecal indicators to acceptable levels in the reservoir as well as shaped the bacterial communities along the river, highlighting the importance of understanding indicator persistence and microbial community resilience for effective water quality management within the context of the global warming scenario.
Published: 2024
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7. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 Neurology, Feigin, Valery L, Nichols, Emma, Alam, Tahiya, Bannick, Marlena S, Beghi, Ettore, Blake, Natacha, Culpepper, William J, Dorsey, E Ray, Elbaz, Alexis, Ellenbogen, Richard G, Fisher, James L, Fitzmaurice, Christina, Giussani, Giorgia, Glennie, Linda, James, Spencer L, Johnson, Catherine Owens, Kassebaum, Nicholas J, Logroscino, Giancarlo, Marin, Benoît, Mountjoy-Venning, W Cliff, Nguyen, Minh, Ofori-Asenso, Richard, Patel, Anoop P, Piccininni, Marco, Roth, Gregory A, Steiner, Timothy J, Stovner, Lars Jacob, Szoeke, Cassandra EI, Theadom, Alice, Vollset, Stein Emil, Wallin, Mitchell Taylor, Wright, Claire, Zunt, Joseph Raymond, Abbasi, Nooshin, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Aboyans, Victor, Abraha, Haftom Niguse, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Adsuar, Jose C, Afarideh, Mohsen, Agrawal, Sutapa, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Eyadhy, Ayman, Salman, Rustam Al-Shahi, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, Altirkawi, Khalid, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Antonio, Carl Abelardo T, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Asayesh, Hamid, Asghar, Rana Jawad, Atalay, Hagos Tasew, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayuk, Tambe B, Badawi, Alaa, Banach, Maciej, Banoub, Joseph Adel Mattar, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Baune, Bernhard T, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Blazes, Christopher Kynrint, Brayne, Carol, Butt, Zahid A, Campos-Nonato, Ismael R, and Cantu-Brito, Carlos
Subjects: Neurosciences, Headaches, Pain Research, Aging, Brain Disorders, Prevention, Neurodegenerative, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Adult, Age Factors, Aged, Aged, 80 and over, Cause of Death, Dementia, Disability Evaluation, Female, Global Burden of Disease, Humans, Incidence, Male, Middle Aged, Nervous System Diseases, Prevalence, Quality-Adjusted Life Years, Risk Factors, Sex Factors, Socioeconomic Factors, GBD 2016 Neurology Collaborators, Clinical Sciences, Neurology & Neurosurgery
Abstract: BackgroundNeurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.MethodsWe estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.FindingsGlobally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable).InterpretationGlobally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies.FundingBill & Melinda Gates Foundation.
Published: 2019

8. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Murray, Christopher JL, Callender, Charlton SKH, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, and Atique, Suleman
Subjects: Health Sciences, Behavioral and Social Science, Contraception/Reproduction, Basic Behavioral and Social Science, Aging, Aetiology, 2.4 Surveillance and distribution, Reproductive health and childbirth, Good Health and Well Being, Adolescent, Adult, Aged, Birth Rate, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Male, Maternal Age, Middle Aged, Mortality, Population Density, Population Growth, Young Adult, GBD 2017 Population and Fertility Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundPopulation estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods.MethodsWe estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories.FindingsFrom 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4-52·0). The TFR decreased from 4·7 livebirths (4·5-4·9) to 2·4 livebirths (2·2-2·5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3-200·8) since 1950, from 2·6 billion (2·5-2·6) to 7·6 billion (7·4-7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9-1·2) in Cyprus to a high of 7·1 livebirths (6·8-7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07-0·09) in South Korea to 2·4 livebirths (2·2-2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3-0·4) in Puerto Rico to a high of 3·1 livebirths (3·0-3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger.InterpretationPopulation trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress.FundingBill & Melinda Gates Foundation.
Published: 2018

9. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Collaborators, GBD 2017 Causes of Death, Roth, Gregory A, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, and Badawi, Alaa
Subjects: Brain Disorders, Pediatric, Prevention, Aetiology, 2.4 Surveillance and distribution, Infection, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundGlobal development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.MethodsThe causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised.FindingsAt the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.InterpretationImprovements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.FundingBill & Melinda Gates Foundation.
Published: 2018

10. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: James, Spencer L, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed ML, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, and Bali, Ayele Geleto
Subjects: Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Sex Distribution, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2017 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.MethodsWe estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting.FindingsGlobally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs s1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]).InterpretationGlobal all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.FundingBill & Melinda Gates Foundation.
Published: 2018

11. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Collaborators, GBD 2017 Risk Factor, Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayer, Rakesh, and Ayuk, Tambe B
Subjects: Prevention, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Environmental Exposure, Female, Global Burden of Disease, Global Health, Health Risk Behaviors, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Metabolic Diseases, Middle Aged, Occupational Diseases, Occupational Exposure, Quality-Adjusted Life Years, Risk Assessment, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Risk Factor Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations.MethodsWe used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.FindingsIn 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low.InterpretationBy quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.FundingBill & Melinda Gates Foundation.
Published: 2018

12. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Collaborators, GBD 2017 Mortality, Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, and Artaman, Al
Subjects: Behavioral and Social Science, Pediatric, Prevention, Basic Behavioral and Social Science, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Mortality Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundAssessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.MethodsThe GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.FindingsGlobally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development.InterpretationThis analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing.FundingBill & Melinda Gates Foundation.
Published: 2018

13. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kyu, Hmwe Hmwe, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abil, Olifan Zewdie, Aboyans, Victor, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Anurag, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Aminde, Leopold N, Amini, Erfan, Amiresmaili, Mohammadreza, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, and Balakrishnan, Kalpana
Subjects: Prevention, Aging, Good Health and Well Being, Aged, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Health Status, Healthy Lifestyle, Humans, Life Expectancy, Male, Mortality, Mortality, Premature, Prevalence, Quality-Adjusted Life Years, Risk Factors, Socioeconomic Factors, Wounds and Injuries, GBD 2017 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundHow long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life-years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years.MethodsWe used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Socio-demographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males.FindingsGlobally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9-6·7), from 57·0 years (54·6-59·1) in 1990 to 63·3 years (60·5-65·7) in 2017. The increase varied from 3·8 years (3·4-4·1) in high SDI countries to 10·5 years (9·8-11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4-1·7) in Saint Vincent and the Grenadines (62·4 years [59·9-64·7] in 1990 to 63·5 years [60·9-65·8] in 2017) to 23·7 years (21·9-25·6) in Eritrea (30·7 years [28·9-32·2] in 1990 to 54·4 years [51·5-57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6-2·3) in Algeria to 11·9 years (10·9-12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4-78·7]) and males (72·6 years [69·8-75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7-50·2] for females and 42·8 years [40·1-45·6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8-43·5) for communicable diseases and by 49·8% (47·9-51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8-43·0), although age-standardised DALY rates decreased by 18·1% (16·0-20·2).InterpretationWith increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health.FundingBill & Melinda Gates Foundation.
Published: 2018

14. Application of Multivariate Statistical Methods to the Hydrochemical Study of Groundwater Quality in the Sahel Watershed, Algeria

Author: Djafer Khodja Hakim, Aichour Amina, Rezig Amina, Baloul Djouhra, and Ferhati Ahmed
Subjects: water quality, groundwater, principal component analysis, hydrochemical analysis, hierarchical cluster analysis, sahel watershed, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350
Abstract: ABSTRACT The quality of groundwater is characterized by several numbers of physical and chemical parameters, which determine the use of water (water supply, irrigation, industry...). This search paper is a contribution made to know the hydrochemical characteristics of groundwater in the Sahel sub-catchment which belongs to the large Soummam North basin of Algeria. Different multivariate statistical techniques were used such as principal component analysis (PCA), Hierarchical Cluster Analysis (HCA) and Diagram Analysis. These analyses are exercised to a dataset formed from 37 boreholes with 12 chemical variables over the entire surface of the watershed. The samples were collected in 2016. The 37 boreholes are one of the main water resources that supply the wilaya of Bouira with drinking water and irrigation. The analysis of water quality using different methods (ACP, HCA and Diagram) resulted in two chemical kinds: (Chloride, calcium sulfate and magnesium), and (Bicarbonate calcium and magnesium). The results have shown that 74% of the boreholes were contaminated, the rest of boreholes were characterized by a good quality and they have not suffered any contamination and can be consumed without any risk.
Published: 2022
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15. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 Risk Factors, Gakidou, Emmanuela, Afshin, Ashkan, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Abyu, Gebre Yitayih, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afarideh, Mohsen, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Komal, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansari, Hossein, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Ballew, Shoshana H, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Batis, Carolina, Battle, Katherine E, Baumgarner, Blair R, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Blosser, Christopher D, Boneya, Dube Jara, Bou-Orm, Ibrahim R, Brauer, Michael, and Breitborde, Nicholas JK
Subjects: Epidemiology, Health Sciences, Prevention, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Air Pollution, Body Mass Index, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disabled Persons, Environmental Health, Female, Global Burden of Disease, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Metabolic Diseases, Middle Aged, Noncommunicable Diseases, Occupational Diseases, Quality-Adjusted Life Years, Risk Assessment, Sex Distribution, Smoking, Water Supply, Young Adult, GBD 2016 Risk Factors Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.FindingsSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.InterpretationIncreasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.FundingThe Bill & Melinda Gates Foundation, Bloomberg Philanthropies.
Published: 2017

16. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 DALYs and HALE, Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, and Beyene, Addisu Shunu
Subjects: Epidemiology, Public Health, Health Sciences, Clinical Research, Behavioral and Social Science, Burden of Illness, Prevention, Social Determinants of Health, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Life Expectancy, Male, Middle Aged, Noncommunicable Diseases, Quality-Adjusted Life Years, Residence Characteristics, Sex Distribution, Wounds and Injuries, GBD 2016 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundMeasurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).MethodsWe used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.FindingsThe highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally.InterpretationAt a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.FundingBill & Melinda Gates Foundation.
Published: 2017

17. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 Causes of Death, Naghavi, Mohsen, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Aboyans, Victor, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Miloud Taki Eddine, Aichour, Ibtihel, Aiyar, Sneha, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andersen, Hjalte H, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Balakrishnan, Kalpana, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne L, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert RA, Breitborde, Nicholas JK, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Car, Josip, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Charlson, Fiona J, Chibueze, Chioma Ezinne, and Chimed-Ochir, Odgerel
Subjects: Pediatric, Clinical Research, Infant Mortality, Infectious Diseases, 2.4 Surveillance and distribution, Aetiology, Infection, Cardiovascular, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disasters, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Nutrition Disorders, Pregnancy, Pregnancy Complications, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2016 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundMonitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.MethodsWe estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016.FindingsThe quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2-73·2) of deaths in 2016 with 19·3% (18·5-20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00-8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006-16-age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176-181) increase in deaths in ages 90-94 years and a 210% (208-212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe.InterpretationThe past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems.FundingBill & Melinda Gates Foundation.
Published: 2017

18. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 SDG, Fullman, Nancy, Barber, Ryan M, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alene, Kefyalew Addis, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Basu, Sanjay, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Bilal, Arebu I, Birungi, Charles, Biryukov, Stan, Bizuayehu, Habtamu Mellie, Blosser, Christopher D, Boneya, Dube Jara, Bose, Dipan, and Bou-Orm, Ibrahim R
Subjects: Infectious Diseases, Pediatric, Prevention, Rare Diseases, Good Health and Well Being, Adolescent, Adult, Child, Child Abuse, Sexual, Child, Preschool, Conservation of Natural Resources, Female, Global Burden of Disease, Global Health, Health Status, Health Status Indicators, Humans, Infant, Infant Mortality, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Quality-Adjusted Life Years, Sex Offenses, Young Adult, GBD 2016 SDG Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundThe UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030.MethodsWe used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0-100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment.FindingsGlobally, the median health-related SDG index was 56·7 (IQR 31·9-66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6-88·9), Iceland (86·0, 84·1-87·6), and Sweden (85·6, 81·8-87·8) having the highest levels in 2016 and Afghanistan (10·9, 9·6-11·9), the Central African Republic (11·0, 8·8-13·8), and Somalia (11·3, 9·5-13·1) recording the lowest. Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. Based on projections of past trends, the median number of SDG targets attained in 2030 was five (IQR 2-8) of the 24 defined targets currently measured. Globally, projected target attainment considerably varied by SDG indicator, ranging from more than 60% of countries projected to reach targets for under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria, to less than 5% of countries projected to achieve targets linked to 11 indicator targets, including those for childhood overweight, tuberculosis, and road injury mortality. For several of the health-related SDGs, meeting defined targets hinges upon substantially faster progress than what most countries have achieved in the past.InterpretationGBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs. Our improved measure of UHC offers a basis to monitor the expansion of health services necessary to meet the SDGs. Based on past rates of progress, many places are facing challenges in meeting defined health-related SDG targets, particularly among countries that are the worst off. In view of the early stages of SDG implementation, however, opportunity remains to take actions to accelerate progress, as shown by the catalytic effects of adopting the Millennium Development Goals after 2000. With the SDGs' broader, bolder development agenda, multisectoral commitments and investments are vital to make the health-related SDGs within reach of all populations.FundingBill & Melinda Gates Foundation.
Published: 2017

19. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 Disease and Injury Incidence and Prevalence, Vos, Theo, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adamu, Abdu Abdullahi, Adetokunboh, Olatunji, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Sanjay Kumar, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Altirkawi, Khalid A, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Andersen, Hjalte H, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Assadi, Reza, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Atre, Sachin R, Avila-Burgos, Leticia, Avokphako, Euripide Frinel G Arthur, Awasthi, Ashish, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Bannick, Marlena S, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Basu, Sanjay, Battista, Bob, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, and Beyene, Addisu Shunu
Subjects: Biomedical and Clinical Sciences, Epidemiology, Public Health, Clinical Sciences, Health Sciences, Neurosciences, Behavioral and Social Science, Burden of Illness, Aging, Brain Disorders, Mental Health, Women's Health, 2.4 Surveillance and distribution, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Prevalence, Sex Distribution, Wounds and Injuries, Young Adult, GBD 2016 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundAs mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.MethodsWe estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).FindingsGlobally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8-75·9 million [7·2%, 6·0-8·3]), 45·1 million (29·0-62·8 million [5·6%, 4·0-7·2]), 36·3 million (25·3-50·9 million [4·5%, 3·8-5·3]), 34·7 million (23·0-49·6 million [4·3%, 3·5-5·2]), and 34·1 million (23·5-46·0 million [4·2%, 3·2-5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3-3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0-11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer's disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862-11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018-19 228).InterpretationThe decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.FundingBill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
Published: 2017

20. Highly removal of anionic dye from aqueous medium using a promising biochar derived from date palm petioles: Characterization, adsorption properties and reuse studies

Author: Aichour, Amina, Zaghouane-Boudiaf, Hassina, and Djafer Khodja, Hakim
Published: 2022
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21. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Author: Collaborators, GBD 2016 Healthcare Access and Quality, Fullman, Nancy, Yearwood, Jamal, Abay, Solomon M, Abbafati, Cristiana, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy MX, Abu-Raddad, Laith J, Adane, Akilew Awoke, Adedoyin, Rufus Adesoji, Adetokunboh, Olatunji, Adhikari, Tara Ballav, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Aichour, Miloud Taki Eddine, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi F, Akseer, Nadia, Lami, Faris Hasan Al, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Alasfoor, Deena, Albittar, Mohammed I, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alijanzadeh, Mehran, Aljunid, Syed M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Alomari, Mahmoud A, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Antonio, Carl Abelardo T, Araújo, Valdelaine EM, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Ashebir, Mengistu Mitiku, Asseffa, Netsanet Abera, Atey, Tesfay Mehari, Atre, Sachin R, Atteraya, Madhu S, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayalew, Animut Alebel, Ayele, Henok Tadesse, Ayer, Rakesh, Ayuk, Tambe Betrand, Azzopardi, Peter, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Badali, Hamid, Badawi, Alaa, Banach, Maciej, Banerjee, Amitava, Banstola, Amrit, Barber, Ryan M, Barboza, Miguel A, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Bassat, Quique, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, and Bedi, Neeraj
Subjects: Health Services and Systems, Public Health, Health Sciences, Clinical Research, Biodefense, Prevention, Vaccine Related, Good Health and Well Being, Communicable Diseases, Global Burden of Disease, Health Services Accessibility, Humans, Noncommunicable Diseases, Quality of Health Care, Wounds and Injuries, GBD 2016 Healthcare Access and Quality Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundA key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016.MethodsDrawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita.FindingsIn 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries.InterpretationGBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view-and subsequent provision-of quality health care for all populations.FundingBill & Melinda Gates Foundation.
Published: 2018

22. Spatio-Temporal Dynamics of crAssphage and Bacterial Communities in an Algerian Watershed Impacted by Fecal Pollution

Author: Boulainine, Dalal, primary, Benhamrouche, Aziz, additional, Ballesté, Elisenda, additional, Mezaache-Aichour, Samia, additional, and García-Aljaro, Cristina, additional
Published: 2024
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23. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Feigin, Valery L, Nichols, Emma, Alam, Tahiya, Bannick, Marlena S, Beghi, Ettore, Blake, Natacha, Culpepper, William J, Dorsey, E Ray, Elbaz, Alexis, Ellenbogen, Richard G, Fisher, James L, Fitzmaurice, Christina, Giussani, Giorgia, Glennie, Linda, James, Spencer L, Johnson, Catherine Owens, Kassebaum, Nicholas J, Logroscino, Giancarlo, Marin, Benoît, Mountjoy-Venning, W Cliff, Nguyen, Minh, Ofori-Asenso, Richard, Patel, Anoop P, Piccininni, Marco, Roth, Gregory A, Steiner, Timothy J, Stovner, Lars Jacob, Szoeke, Cassandra E I, Theadom, Alice, Vollset, Stein Emil, Wallin, Mitchell Taylor, Wright, Claire, Zunt, Joseph Raymond, Abbasi, Nooshin, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Aboyans, Victor, Abraha, Haftom Niguse, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Adsuar, Jose C, Afarideh, Mohsen, Agrawal, Sutapa, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Eyadhy, Ayman, Al-Shahi Salman, Rustam, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, Altirkawi, Khalid, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Antonio, Carl Abelardo T, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Asayesh, Hamid, Asghar, Rana Jawad, Atalay, Hagos Tasew, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayuk, Tambe B, Badawi, Alaa, Banach, Maciej, Banoub, Joseph Adel Mattar, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Baune, Bernhard T, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Blazes, Christopher Kynrint, Brayne, Carol, Butt, Zahid A, Campos-Nonato, Ismael R, Cantu-Brito, Carlos, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castro, Franz, Catalá-López, Ferrán, Cerin, Ester, Chaiah, Yazan, Chang, Jung-Chen, Chatziralli, Irini, Chiang, Peggy Pei-Chia, Christensen, Hanne, Christopher, Devasahayam J, Cooper, Cyrus, Cortesi, Paolo Angelo, Costa, Vera M, Criqui, Michael H, Crowe, Christopher Stephen, Damasceno, Albertino Antonio Moura, Daryani, Ahmad, De la Cruz-Góngora, Vanessa, De la Hoz, Fernando Pio, De Leo, Diego, Demoz, Gebre Teklemariam, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Dinberu, Mesfin Tadese, Djalalinia, Shirin, Doku, David Teye, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Edvardsson, David, El-Khatib, Ziad, Endres, Matthias, Endries, Aman Yesuf, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Farhadi, Farzaneh, Faro, Andre, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fatima, Batool, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morsaleh, Gankpe, Fortune Gbetoho, Garcia-Gordillo, Miguel A, Gebre, Abadi Kahsu, Gebremichael, Teklu Gebrehiwo, Gelaw, Belayneh K, Geleijnse, Johanna M, Geremew, Demeke, Gezae, Kebede Embaye, Ghasemi-Kasman, Maryam, Gidey, Mahari Y, Gill, Paramjit Singh, Gill, Tiffany K, Girma, Efrata Tufa, Gnedovskaya, Elena V, Goulart, Alessandra C, Grada, Ayman, Grosso, Giuseppe, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Haagsma, Juanita A, Hagos, Tekleberhan B, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Hankey, Graeme J, Hao, Yuantao, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Heidari, Behnam, Henok, Andualem, Heydarpour, Fatemeh, Hoang, Chi Linh, Hole, Michael K, Homaie Rad, Enayatollah, Hosseini, Seyed Mostafa, Hu, Guoqing, Igumbor, Ehimario U, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Jakovljevic, Mihajlo, Javanbakht, Mehdi, Jha, Ravi Prakash, Jobanputra, Yash B, Jonas, Jost B, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kahsay, Amaha, Kalani, Rizwan, Kalkonde, Yogeshwar, Kamil, Teshome Abegaz, Kanchan, Tanuj, Karami, Manoochehr, Karch, André, Karimi, Narges, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kaul, Anil, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khazaie, Habibolah, Kiadaliri, Aliasghar A, Kiirithio, Daniel N, Kim, Anthony S, Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kisa, Adnan, Kokubo, Yoshihiro, Koyanagi, Ai, Krishnamurthi, Rita V, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, Manasi, Lacey, Ben, Lafranconi, Alessandra, Lansingh, Van C, Latifi, Arman, Leshargie, Cheru Tesema, Li, Shanshan, Liao, Yu, Linn, Shai, Lo, Warren David, Lopez, Jaifred Christian F, Lorkowski, Stefan, Lotufo, Paulo A, Lucas, Robyn M, Lunevicius, Raimundas, Mackay, Mark T, Mahotra, Narayan Bahadur, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manafi, Navid, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, März, Winfried, Mashamba-Thompson, Tivani Phosa, Massenburg, Benjamin Ballard, Mate, Kedar K V, McAlinden, Colm, McGrath, John J, Mehta, Varshil, Meier, Toni, Meles, Hagazi Gebre, Melese, Addisu, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mini, GK, Mirrakhimov, Erkin M, Moazen, Babak, Mohajer, Bahram, Mohammad Gholi Mezerji, Naser, Mohammadi, Moslem, Mohammadi-Khanaposhtani, Maryam, Mohammadibakhsh, Roghayeh, Mohammadnia-Afrouzi, Mousa, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Monasta, Lorenzo, Mondello, Stefania, Moodley, Yoshan, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Moreno Velásquez, Ilais, Morrison, Shane Douglas, Mousavi, Seyyed Meysam, Muhammed, Oumer Sada, Muruet, Walter, Musa, Kamarul Imran, Mustafa, Ghulam, Naderi, Mehdi, Nagel, Gabriele, Naheed, Aliya, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles Richard James, Ngunjiri, Josephine W, Nguyen, Cuong Tat, Nguyen, Long Hoang, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nixon, Molly R, Norrving, Bo, Noubiap, Jean Jacques, Nourollahpour Shiadeh, Malihe, Nyasulu, Peter S, Ogah, Okechukwu Samuel, Oh, In-Hwan, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Onwujekwe, Obinna E, Oren, Eyal, Owolabi, Mayowa Ojo, PA, Mahesh, Pakpour, Amir H, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandian, Jeyaraj Durai, Patel, Sangram Kishor, Pereira, David M, Petzold, Max, Pillay, Julian David, Piradov, Michael A, Polanczyk, Guilherme V, Polinder, Suzanne, Postma, Maarten J, Poulton, Richie, Poustchi, Hossein, Prakash, Swayam, Prakash, V, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rajati, Fatemeh, Ram, Usha, Ranta, Anna, Rawaf, David Laith, Rawaf, Salman, Reinig, Nickolas, Reis, Cesar, Renzaho, Andre M N, Resnikoff, Serge, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Rios González, Carlos Miguel, Roberts, Nicholas L S, Roever, Leonardo, Ronfani, Luca, Roro, Elias Merdassa, Roshandel, Gholamreza, Rostami, Ali, Sabbagh, Parisa, Sacco, Ralph L, Sachdev, Perminder S, Saddik, Basema, Safari, Hosein, Safari-Faramani, Roya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salamati, Payman, Salehi Zahabi, Saleh, Salimi, Yahya, Samy, Abdallah M, Sanabria, Juan, Santos, Itamar S, Santric Milicevic, Milena M, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Shabaninejad, Hosein, Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsizadeh, Morteza, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, She, Jun, Sheikh, Aziz, Sheth, Kevin N, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silberberg, Donald H, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Smith, Mari, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soyiri, Ireneous N, Sposato, Luciano A, Stein, Dan J, Stein, Murray B, Stokes, Mark A, Sufiyan, Mu'awiyyah Babale, Sykes, Bryan L, Sylaja, PN, Tabarés-Seisdedos, Rafael, Te Ao, Braden James, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Temsah, Omar, Thakur, Jarnail Singh, Thrift, Amanda G, Topor-Madry, Roman, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Tsadik, Afewerki Gebremeskel, Tudor Car, Lorainne, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Valdez, Pascual R, Vasankari, Tommi Juhani, Vasanthan, Rajagopalan, Veisani, Yousef, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vlassov, Vasily, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Wang, Yuan-Pang, Weiderpass, Elisabete, Weiss, Jordan, Whiteford, Harvey A, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Xu, Gelin, Yadollahpour, Ali, Yamada, Tomohide, Yano, Yuichiro, Yaseri, Mehdi, Yatsuya, Hiroshi, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zare, Zohreh, Zhang, Yunquan, Zodpey, Sanjay, Naghavi, Mohsen, Murray, Christopher J L, and Vos, Theo
Published: 2019
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24. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Johnson, Catherine Owens, Nguyen, Minh, Roth, Gregory A, Nichols, Emma, Alam, Tahiya, Abate, Degu, Abd-Allah, Foad, Abdelalim, Ahmed, Abraha, Haftom Niguse, Abu-Rmeileh, Niveen ME, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Agarwal, Gina, Agrawal, Sutapa, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Alahdab, Fares, Ali, Raghib, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Anjomshoa, Mina, Arabloo, Jalal, Arauz, Antonio, Ärnlöv, Johan, Arora, Amit, Awasthi, Ashish, Banach, Maciej, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Basu, Sanjay, Belachew, Abate Bekele, Belayneh, Yaschilal Muche, Bennett, Derrick A., Bensenor, Isabela M, Bhattacharyya, Krittika, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bin Sayeed, Muhammad Shahdaat, Butt, Zahid A, Cahuana-Hurtado, Lucero, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castro, Franz, Catalá-López, Ferrán, Chaiah, Yazan, Chiang, Peggy Pei-Chia, Choi, Jee-Young J, Christensen, Hanne, Chu, Dinh-Toi, Cortinovis, Monica, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davletov, Kairat, de Courten, Barbora, De la Cruz-Góngora, Vanessa, Degefa, Meaza Girma, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Dubey, Manisha, Duken, Eyasu Ejeta, Edessa, Dumessa, Endres, Matthias, FARAON, EMERITO JOSE A, Farzadfar, Farshad, Fernandes, Eduarda, Fischer, Florian, Flor, Luisa Sorio, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebremichael, Teklu Gebrehiwo, Geta, Birhanu, Gezae, Kebede Embaye, Gill, Paramjit Singh, Gnedovskaya, Elena V., Gómez-Dantés, Hector, Goulart, Alessandra C, Grosso, Giuseppe, Guo, Yuming, Gupta, Rajeev, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamidi, Samer, Hankey, Graeme J., Hassen, Hamid Yimam, Hay, Simon I., Hegazy, Mohamed I, Heidari, Behnam, Herial, Nabeel A, Hosseini, Mohammad Ali, Hostiuc, Sorin, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Jahanmehr, Nader, Javanbakht, Mehdi, Jha, Ravi Prakash, Jonas, Jost B., Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kahsay, Amaha, Kalani, Rizwan, Kalkonde, Yogeshwar, Kamil, Teshome Abegaz, Kanchan, Tanuj, Karch, André, Karimi, Narges, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kazemeini, Hossein, Kefale, Adane Teshome, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kisa, Adnan, Kivimäki, Mika, Koyanagi, Ai, Krishnamurthi, Rita K, Kumar, G Anil, Lafranconi, Alessandra, Lewington, Sarah, Li, Shanshan, Lo, Warren David, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A., Mackay, Mark T, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Manafi, Navid, Mansournia, Mohammad Ali, Mehndiratta, Man Mohan, Mehta, Varshil, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mirrakhimov, Erkin M, Mohajer, Bahram, Mohammad, Yousef, Mohammadoo-khorasani, Milad, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Mokhayeri, Yaser, Moradi, Ghobad, Morawska, Lidia, Moreno Velásquez, Ilais, Mousavi, Seyyed Meysam, Muhammed, Oumer Sada S, Muruet, Walter, Naderi, Mehdi, Naghavi, Mohsen, Naik, Gurudatta, Nascimento, Bruno Ramos, Negoi, Ruxandra Irina, Nguyen, Cuong Tat, Nguyen, Long Hoang, Nirayo, Yirga Legesse, Norrving, Bo, Noubiap, Jean Jacques, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Owolabi, Mayowa Ojo, Pandian, Jeyaraj Durai, Patel, Shanti, Perico, Norberto, Piradov, Michael A, Polinder, Suzanne, Postma, Maarten J, Poustchi, Hossein, Prakash, V, Qorbani, Mostafa, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M.N., Ricci, Stefano, Roberts, Nicholas L S, Robinson, Stephen R, Roever, Leonardo, Roshandel, Gholamreza, Sabbagh, Parisa, Safari, Hosein, Safari, Saeed, Safiri, Saeid, Sahebkar, Amirhossein, Salehi Zahabi, Saleh, Samy, Abdallah M., Santalucia, Paola, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sartorius, Benn, Sawant, Arundhati R, Schutte, Aletta Elisabeth, Sepanlou, Sadaf G., Shafieesabet, Azadeh, Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Sheikh, Aziz, Sheth, Kevin N., Shibuya, Kenji, Shigematsu, Mika, Shin, Min-Jeong, Shiue, Ivy, Siabani, Soraya, Sobaih, Badr Hasan, Sposato, Luciano A., Sutradhar, Ipsita, Sylaja, PN, Szoeke, Cassandra E I, Te Ao, Braden James, Temsah, Mohamad-Hani, Temsah, Omar, Thrift, Amanda G, Tonelli, Marcello, Topor-Madry, Roman, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Tsadik, Afewerki Gebremeskel, Ullah, Irfan, Uthman, Olalekan A, Vaduganathan, Muthiah, Valdez, Pascual R, Vasankari, Tommi Juhani, Vasanthan, Rajagopalan, Venketasubramanian, Narayanaswamy, Vosoughi, Kia, Vu, Giang Thu, Waheed, Yasir, Weiderpass, Elisabete, Weldegwergs, Kidu Gidey, Westerman, Ronny, Wolfe, Charles D A, Wondafrash, Dawit Zewdu, Xu, Gelin, Yadollahpour, Ali, Yamada, Tomohide, Yatsuya, Hiroshi, Yimer, Ebrahim M, Yonemoto, Naohiro, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zamani, Mohammad, Zarghi, Afshin, Zhang, Yunquan, Zodpey, Sanjay, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
Published: 2019
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25. Mortality, morbidity, and hospitalisations due to influenza lower respiratory tract infections, 2017: an analysis for the Global Burden of Disease Study 2017

Author: Troeger, Christopher E, Blacker, Brigette F., Khalil, Ibrahim A., Zimsen, Stephanie R M, Albertson, Samuel B., Abate, Degu, Abdela, Jemal, Adhikari, Tara Ballav, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Anjomshoa, Mina, Antonio, Carl Abelardo T., Aremu, Olatunde, Atalay, Hagos Tasew, Atique, Suleman, Attia, Engi F., Avokpaho, Euripide F G A, Awasthi, Ashish, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Bassat, Quique, Bedi, Neeraj, Belachew, Abate Bekele, Bennett, Derrick A., Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bijani, Ali, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Christopher, Devasahayam J, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Daryani, Ahmad, Degefa, Meaza Girma, Demeke, Feleke Mekonnen, Dhimal, Meghnath, Djalalinia, Shirin, Doku, David Teye, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Edessa, Dumessa, El Sayed Zaki, Maysaa, Fakhim, Hamed, Fernandes, Eduarda, Fischer, Florian, Flor, Luisa Sorio, Foreman, Kyle J., Gebremichael, Teklu Gebrehiwo, Geremew, Demeke, Ghadiri, Keyghobad, Goulart, Alessandra C, Guo, Jingwen, Ha, Giang Hai, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamidi, Samer, Hassen, Hamid Yimam, Hoang, Chi Linh, Horita, Nobuyuki, Hostiuc, Mihaela, Irvani, Seyed Sina Naghibi, Jha, Ravi Prakash, Jonas, Jost B., Kahsay, Amaha, Karch, André, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kefale, Adane Teshome, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khang, Young-Ho, Khoja, Abdullah T, Khubchandani, Jagdish, Kimokoti, Ruth W, Kisa, Adnan, Knibbs, Luke D, Kochhar, Sonali, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kuate Defo, Barthelemy, Kumar, G Anil, Lal, Dharmesh Kumar, Lamichhane, Prabhat, Leshargie, Cheru Tesema, Levi, Miriam, Li, Shanshan, Macarayan, Erlyn Rachelle King, Majdan, Marek, Mehta, Varshil, Melese, Addisu, Memish, Ziad A, Mengistu, Desalegn Tadese, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Bartosz, Milne, George J, Milosevic, Branko, Mirrakhimov, Erkin M, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammed, Shafiu, Monasta, Lorenzo, Morawska, Lidia, Mousavi, Seyyed Meysam, Muhammed, Oumer Sada S, Murthy, Srinivas, Mustafa, Ghulam, Naheed, Aliya, Nguyen, Huong Lan Thi, Nguyen, Nam Ba, Nguyen, Son Hoang, Nguyen, Trang Huyen, Nisar, Muhammad Imran, Nixon, Molly R, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Oren, Eyal, Ortiz, Justin R, P A, Mahesh, Pakhale, Smita, Patel, Shanti, Paudel, Deepak, Pigott, David M, Postma, Maarten J, Qorbani, Mostafa, Rafay, Anwar, Rafiei, Alireza, Rahimi-Movaghar, Vafa, Rai, Rajesh Kumar, Rezai, Mohammad Sadegh, Roberts, Nicholas L S, Ronfani, Luca, Rubino, Salvatore, Safari, Saeed, Safiri, Saeid, Saleem, Zikria, Sambala, Evanson Zondani, Samy, Abdallah M., Santric Milicevic, Milena M, Sartorius, Benn, Sarvi, Shahabeddin, Savic, Miloje, Sawhney, Monika, Saxena, Sonia, Seyedmousavi, Seyedmojtaba, Shaikh, Masood Ali, Sharif, Mehdi, Sheikh, Aziz, Shigematsu, Mika, Smith, David L, Somayaji, Ranjani, Soriano, Joan B, Sreeramareddy, Chandrashekhar T, Sufiyan, Mu'awiyyah Babale, Temsah, Mohamad-Hani, Tessema, Belay, Teweldemedhin, Mebrahtu, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tsadik, Afewerki Gebremeskel, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Vasankari, Tommi Juhani, Vu, Giang Thu, Wada, Fiseha Wadilo, Waheed, Yasir, West, T. Eoin, Wiysonge, Charles Shey, Yimer, Ebrahim M, Yonemoto, Naohiro, Zaidi, Zoubida, Vos, Theo, Lim, Stephen S, Murray, Christopher J L, Mokdad, Ali H, Hay, Simon I., and Reiner, Robert C
Published: 2019
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26. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: James, Spencer L, Theadom, Alice, Ellenbogen, Richard G, Bannick, Marlena S, Montjoy-Venning, Wcliff, Lucchesi, Lydia R, Abbasi, Nooshin, Abdulkader, Rizwan, Abraha, Haftom Niguse, Adsuar, Jose C, Afarideh, Mohsen, Agrawal, Sutapa, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Alebel, Animut, Alghnam, Suliman A, Ali, Beriwan Abdulqadir, Alsharif, Ubai, Altirkawi, Khalid, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Ariani, Filippo, Asefa, Nigus Gebremedhin, Asgedom, Solomon Weldegebreal, Atique, Suleman, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayuk, Tambe B, Azzopardi, Peter S, Badali, Hamid, Badawi, Alaa, Balalla, Shivanthi, Banstola, Amrit, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhalla, Ashish, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biffino, Marco, Bijani, Ali, Bililign, Nigus, Birungi, Charles, Boufous, Soufiane, Brazinova, Alexandra, Brown, Allen W, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Chaiah, Yazan, Champs, Ana Paula, Chang, Jung-Chen, Choi, Jee-Young J, Christopher, Devasahayam J, Cooper, Cyrus, Crowe, Christopher Stephen, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davitoiu, Dragos Virgil, Degefa, Meaza Girma, Demoz, Gebre Teklemariam, Deribe, Kebede, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Drake, Thomas M, Dubey, Manisha, Dubljanin, Eleonora, El-Khatib, Ziad, Ofori-Asenso, Richard, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Faro, Andre, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morasaleh, Gankpe, Fortune Gbetoho, Gebre, Abadi Kahsu, Gebrehiwot, Tsegaye Tewelde, Gezae, Kebede Embaye, Gopalkrishna, Gururaj, Goulart, Alessandra C, Haagsma, Juanita A, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin, Hay, Simon I, Hegazy, Mohamed I, Hendrie, Delia, Henok, Andualem, Hibstu, Desalegn Tsegaw, Hoffman, Howard J, Hole, Michael K, Homaie Rad, Enayatollah, Hosseini, Seyed Mostafa, Hostiuc, Sorin, Hu, Guoqing, Hussen, Mamusha Aman, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Jakovljevic, Mihajlo, Jayaraman, Sudha, Jha, Ravi Prakash, Jonas, Jost B, Jones, Kelly M, Jorjoran Shushtari, Zahra, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Karch, André, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kengne, Andre Pascal, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalil, Ibrahim, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khang, Young-Ho, Khazaie, Habibolah, Khoja, Abdullah T, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kim, Daniel, Kim, Young-Eun, Kisa, Adnan, Koyanagi, Ai, Krohn, Kristopher J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G Anil, Kumar, Manasi, Lalloo, Ratilal, Lami, Faris Hasan, Lansingh, Van C, Laryea, Dennis Odai, Latifi, Arman, Leshargie, Cheru Tesema, Levi, Miriam, Li, Shanshan, Liben, Misgan Legesse, Lotufo, Paulo A, Lunevicius, Raimundas, Mahotra, Narayan Bahadur, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Manda, Ana-Laura, Mansournia, Mohammad Ali, Massenburg, Benjamin Ballard, Mate, Kedar K V, Mehndiratta, Man Mohan, Mehta, Varshil, Meles, Hagazi, Melese, Addisu, Memiah, Peter T N, Mendoza, Walter, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Tomasz, Miller, Ted R, Mini, GK, Mirica, Andreea, Mirrakhimov, Erkin M, Moazen, Babak, Mohammadi, Moslem, Mohammed, Shafiu, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Mondello, Stefania, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Morrison, Shane Douglas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Murthy, Srinivas, Musa, Kamarul Imran, Mustafa, Ghulam, Naghavi, Mohsen, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Nascimento, Bruno Ramos, Negoi, Ionut, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nyasulu, Peter S, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Otstavnov, Stanislav S, Owolabi, Mayowa Ojo, P A, Mahesh, Pakhale, Smita, Pandey, Achyut Raj, Pesudovs, Konrad, Pinilla-Monsalve, Gabriel D, Polinder, Suzanne, Poustchi, Hossein, Prakash, Swayam, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Rai, Rajesh Kumar, Rajati, Fatemeh, Ram, Usha, Rawaf, David Laith, Rawaf, Salman, Reiner, Robert C, Reis, Cesar, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roy, Nobhojit, Ruhago, George Mugambage, Saddik, Basema, Safari, Hosein, Safiri, Saeid, Sahraian, Mohammad Ali, Salamati, Payman, Saldanha, Raphael de Freitas, Samy, Abdallah M, Sanabria, Juan, Santos, João Vasco, Santric Milicevic, Milena M M, Sartorius, Benn, Satpathy, Maheswar, Savuon, Kim, Schneider, Ione J C, Schwebel, David C, Sepanlou, Sadaf G, Shabaninejad, Hosein, Shaikh, Masood A Ali, Shams-Beyranvand, Mehran, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, She, Jun, Sheikh, Aziz, Shen, Jiabin, Sheth, Kevin N, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shoman, Haitham, Siabani, Soraya, Siddiqi, Tariq J, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Sinha, Dhirendra Narain, Smith, Mari, Soares Filho, Adauto Martins, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Stein, Dan J, Stokes, Mark A, Sufiyan, Mu'awiyyah Babale, Sunguya, Bruno F, Sunshine, Jacob E, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Te Ao, Braden James, Tehrani-Banihashemi, Arash, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Temsah, Omar, Topor-Madry, Roman, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tudor Car, Lorainne, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Valdez, Pascual R, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Wagnew, Fasil Wagnew Shiferaw, Waheed, Yasir, Wang, Yuan-Pang, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wyper, Grant M A, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yost, Michael G, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zenebe, Zerihun Menlkalew, Zodpey, Sanjay, Feigin, Valery L, Vos, Theo, and Murray, Christopher J L
Published: 2019
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27. Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Zunt, Joseph Raymond, Kassebaum, Nicholas J, Blake, Natacha, Glennie, Linda, Wright, Claire, Nichols, Emma, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Adamu, Abdu A, Adib, Mina G., Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akseer, Nadia, Al-Raddadi, Rajaa M, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, AlMazroa, Mohammad A, Altirkawi, Khalid, Alvis-Guzman, Nelson, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Asghar, Rana Jawad, Avokpaho, Euripide F G A, Awasthi, Ashish, Badali, Hamid, Barac, Aleksandra, Bärnighausen, Till Winfried, Bassat, Quique, Bedi, Neeraj, Belachew, Abate Bekele, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bijani, Ali, Butt, Zahid A, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Chitheer, Abdulaal, Choi, Jee-Young J, Christopher, Devasahayam J, Dang, Anh Kim, Daryani, Ahmad, Demoz, Gebre Teklemariam, Djalalinia, Shirin, Do, Huyen Phuc, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, El Sayed Zaki, Maysaa, Elyazar, Iqbal RF, Fakhim, Hamed, Fernandes, Eduarda, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebremeskel, Afewerki, Gessner, Bradford D, Gopalani, Sameer Vali, Guo, Yuming, Gupta, Rahul, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Hamidi, Samer, Hay, Simon I., Henok, Andualem, Irvani, Seyed Sina Naghibi, Jha, Ravi Prakash, JÜRISSON, Mikk, Kahsay, Amaha, Karami, Manoochehr, Karch, André, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale Dessale, Kefale, Adane Teshome, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khang, Young-Ho, Khubchandani, Jagdish, Kimokoti, Ruth W, Kisa, Adnan, Lami, Faris Hasan, Levi, Miriam, Li, Shanshan, Loy, Clement T., Majdan, Marek, Majeed, Azeem, Mantovani, Lorenzo Giovanni, Martins-Melo, Francisco Rogerlândio, Mcalinden, Colm, Mehta, Varshil, Melese, Addisu, Memish, Ziad A, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Milosevic, Branko, Mokdad, Ali H., Monasta, Lorenzo, Moradi, Ghobad, Moraga, Paula, Mousavi, Seyyed Meysam, Mueller, Ulrich Otto, Murthy, Srinivas, Mustafa, Ghulam, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta, Newton, Charles Richard James, Nirayo, Yirga Legesse, Nixon, Molly R, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Olusanya, Bolajoko Olubukunola, Ortiz, Justin R, Owolabi, Mayowa Ojo, Patel, Shanti, Pinilla-Monsalve, Gabriel D., Postma, Maarten J, Qorbani, Mostafa, Rafiei, Alireza, Rahimi-Movaghar, Vafa, Reiner, Robert C, Renzaho, Andre M.N., Rezai, Mohammad Sadegh, Roba, Kedir Teji, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Safari, Hosein, Safari, Saeed, Safiri, Saeid, Sagar, Rajesh, Samy, Abdallah M., Santric Milicevic, Milena M, Sartorius, Benn, Sarvi, Shahabeddin, Sawhney, Monika, Saxena, Sonia, Shafieesabet, Azadeh, Shaikh, Masood Ali, Sharif, Mehdi, Shigematsu, Mika, Si, Si, Skiadaresi, Eirini, Smith, Mari, Somayaji, Ranjani, Sufiyan, Mu'awiyyah Babale, Tawye, Nega Yimer, Temsah, Mohamad-Hani, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Weldegwergs, Kidu Gidey, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wiyeh, Alison B., Wyper, Grant M.A., Yimer, Ebrahim M., Yonemoto, Naohiro, Zaidi, Zoubida, Zenebe, Zerihun Menlkalew, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
Published: 2018
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28. The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kamangar, Farin, Nasrollahzadeh, Dariush, Safiri, Saeid, Sepanlou, Sadaf G, Fitzmaurice, Christina, Ikuta, Kevin S, Bisignano, Catherine, Islami, Farhad, Roshandel, Gholamreza, Lim, Stephen S, Abolhassani, Hassan, Abu-Gharbieh, Eman, Adedoyin, Rufus Adesoji, Advani, Shailesh M, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akunna, Chisom Joyqueenet, Alahdab, Fares, Alipour, Vahid, Almasi-Hashiani, Amir, Almulhim, Abdulaziz M, Anber, Nahla Hamed, Ansari-Moghaddam, Alireza, Arabloo, Jalal, Arab-Zozani, Morteza, Awedew, Atalel Fentahun, Badawi, Alaa, Berfield, Kathleen S Sachiko, Berhe, Kidanemaryam, Bhattacharyya, Krittika, Biondi, Antonio, Bjørge, Tone, Borzì, Antonio Maria, Bosetti, Cristina, Carreras, Giulia, Carvalho, Felix, Castro, Clara, Chu, Dinh-Toi, Costa, Vera Marisa, Dagnew, Baye, Darega Gela, Jiregna, Daryani, Ahmad, Demeke, Feleke Mekonnen, Demoz, Gebre Teklemariam, Dianatinasab, Mostafa, Elbarazi, Iffat, Emamian, Mohammad Hassan, Etemadi, Arash, Faris, Pawan Sirwan, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Gad, Mohamed M, Gallus, Silvano, Gebre, Abadi Kahsu, Gebrehiwot, Tsegaye Tewelde, Gebremeskel, Gebreamlak Gebremedhn, Gebresillassie, Begashaw Melaku, Ghasemi-kebria, Fatemeh, Ghashghaee, Ahmad, Ghith, Nermin, Golechha, Mahaveer, Gorini, Giuseppe, Gupta, Rahul, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Harvey, James D., Hashemian, Maryam, Hassen, Hamid Yimam, Hay, Simon I, Henok, Andualem, Hoang, Chi Linh, Hosgood, H Dean, Househ, Mowafa, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Irvani, Seyed Sina Naghibi, Jain, Charvi, James, Spencer L, Jee, Sun Ha, Jha, Ravi Prakash, Joukar, Farahnaz, Kabir, Ali, Kasaeian, Amir, Kassaw, Mesfin Wudu, Kaur, Supreet, Kengne, Andre Pascal, Kerboua, Esma, Khader, Yousef Saleh, Khalilov, Rovshan, Khan, Ejaz Ahmad, Khoja, Abdullah T, Kocarnik, Jonathan M, Komaki, Hamidreza, Kumar, Vivek, La Vecchia, Carlo, Lasrado, Savita, Li, Bingyu, Lopez, Alan D, Majeed, Azeem, Manafi, Navid, Manda, Ana Laura, Mansour-Ghanaei, Fariborz, Mathur, Manu Raj, Mehta, Varshil, Mehta, Dhruv, Mendoza, Walter, Mithra, Prasanna, Mohammad, Karzan Abdulmuhsin, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Jemal Abdu, Mohebi, Farnam, Mokdad, Ali H, Monasta, Lorenzo, Moosavi, Delaram, Moosazadeh, Mahmood, Moradi, Ghobad, Moradpour, Farhad, Moradzadeh, Rahmatollah, Naik, Gurudatta, Negoi, Ionut, Nggada, Haruna Asura, Nguyen, Huong Lan Thi, Nikbakhsh, Rajan, Nixon, Molly R, Olagunju, Andrew T, Olagunju, Tinuke O, Padubidri, Jagadish Rao., Pakshir, Keyvan, Patel, Shanti, Pathak, Mona, Pham, Hai Quang, Pourshams, Akram, Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rafiei, Alireza, Ramezanzadeh, Kiana, Rath, Goura Kishor, Rathi, Priya, Rawaf, Salman, Rawaf, David Laith, Rezaei, Nima, Roro, Elias Merdassa, Saad, Anas M, Salimzadeh, Hamideh, Samy, Abdallah M, Sartorius, Benn, Sarveazad, Arash, Sekerija, Mario, Sha, Feng, Shamsizadeh, Morteza, Sheikhbahaei, Sara, Shirkoohi, Reza, Siddappa Malleshappa, Sudeep K, Singh, Jasvinder A, Sinha, Dhirendra Narain, Smarandache, Catalin-Gabriel, Soshnikov, Sergey, Suleria, Hafiz Ansar Rasul, Tadesse, Degena Bahrey, Tesfay, Berhe Etsay, Thakur, Bhaskar, Traini, Eugenio, Tran, Khanh Bao, Tran, Bach Xuan, Ullah, Irfan, Vacante, Marco, Veisani, Yousef, Vujcic, Isidora S, Weldesamuel, Girmay Teklay, Xu, Rixing, Yazdi-Feyzabadi, Vahid, Yuce, Deniz, Zadnik, Vesna, Zaidi, Zoubida, Zhang, Zhi-Jiang, Malekzadeh, Reza, and Naghavi, Mohsen
Published: 2020
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29. Synthesis and characterization of hybrid activated bentonite/alginate composite to improve its effective elimination of dyes stuff from wastewater

Author: Amina Aichour and Hassina Zaghouane-Boudiaf
Subjects: Adsorption, Activated bentonite, Alginate, Composite, Cationic dyes, Regeneration, Water supply for domestic and industrial purposes, TD201-500
Abstract: Abstract The current paper is paying attention to the synthesis of a low-cost, abundant and efficient hybrid activated bentonite–alginate composite ABent/A. Hybrid composite morphology was determined through FTIR, XRPD, and pHPZC. The operational conditions for the retention of two dyes used in the textile industry (methylene blue and crystal violet) from aqueous mediums were evaluated. Results showed that MB and CV adsorbed amount on ABent/A was 780 and 546 mg/g, respectively. Kinetic Lagergren’s and Ho and McKay’s models provide the best result for the MB and CV adsorption on the prepared adsorbent, respectively. Langmuir isotherm model gives the best analyses of the experimentation, justifying a monolayer and a homogeneous nature of adsorption process. Results indicate also that the operational conditions studied affect significantly dyes removal. Reusability study of ABent/A for dyes was also investigated according to the type of desorbing agents. MB regeneration was found 98.92% using hydrochloric acid 0.01 M and CV regeneration percent was 95% using 0.5 M potassium chloride prepared in the mixture ethanol/water (0.5%/0.5%). From the obtained results, hybrid activated bentonite/alginate composites are low-cost, effective and regenerable adsorbent, which give a promising prospect for contaminated wastewaters treatment.
Published: 2020
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30. Highly removal of anionic dye from aqueous medium using a promising biochar derived from date palm petioles: Characterization, adsorption properties and reuse studies

Author: Amina Aichour, Hassina Zaghouane-Boudiaf, and Hakim Djafer Khodja
Subjects: Date palm petioles, Biochar, Dyes wastewater, Methyl orange, Adsorption, Reusability, Chemistry, QD1-999
Abstract: The present work investigates the preparation of promising biochar derived from date palm petioles powder (DPB) via a thermal treatment. DPB was characterized through various techniques to analyze the chemical (FTIR), morphological (SEM) and point of zero charges to investigate changes incorporated through the pyrolysis process.The adsorption of methyl orange (MO) onto the biochar was investigated using batch experiments according to different parameters which influence the adsorption process such as: initial dye concentration, equilibrium time, pH, and temperature. Isothermal and reuse studies of MO adsorption onto DPB were also investigated.Results of MO removal on DPB have demonstrated that the adsorption process was initial dye concentration-dependent, and equilibrium time was occurred in 60 min. The biochar presented high stability of MO adsorption capacity in a large domain of pH. Thermodynamic analysis of this process revealed that methyl orange adsorption was exothermic and spontaneous in nature.The experimental data were analyzed by pseudo-first-order, pseudo-second-order model, and the intraparticle-diffusion for kinetics and Langmuir, Freundlich, and Temkin models for isotherms.Kinetic adsorption followed the pseudo-second-order model and the intraparticle-diffusion within pores controlled the adsorption rate. The experimental data yielded good fits with in the following isotherms order: Langmuir > Temkin > Freundlich, The maximum adsorption capacity of MO on DPB was found 461 mg.g−1. The reusability study reveals the possibility of the reuse of DPB for three (03) cycles of adsorption–desorption, a slight decrease in the ability of methyl orange adsorption has noticed with the increase of the number of adsorption–desorption cycles : 81.03 %, 67.84 %, and 51.72 %, respectively. The found results of the present study show that the biochar derived from date palm petioles have the potential to be used as a promising adsorbent for the treatment of MO dye.
Published: 2022
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31. Expression de la spatialité dans l’interlangue d’apprenants arabophones du français LE

Author: Feiza AICHOUR
Subjects: fle, inter-language, spatiality, written production, arabic-speaking learners, sétif 2 university, relatum, theme, static localization, dynamic localization., French literature - Italian literature - Spanish literature - Portuguese literature, PQ1-3999, Language. Linguistic theory. Comparative grammar, P101-410
Abstract: Non-Francophone learners make use of their LM more or less consciously when learning (FLE). Our analysis focuses on the narration of a filmic support. It consists in disentangling the expression of spatiality in the inter-language of our learners. We studied a written corpus of 13 learners made from a video montage of a silent film "Moderns Times". An analysis of the data is proposed. These results brought new light over various issues related to LE learning and also to the relationship between LM and LE.
Published: 2019

32. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bicer, Burcu Kucuk, Bienhoff, Kelly, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Blyth, Fiona M, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Bourne, Rupert R A, Brainin, Michael, Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul S, Britton, Gabrielle, Brugha, Traolach S, Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campos-Nonato, Ismael Ricardo, Carabin, Hélène, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Carvalho, Felix, Casey, Daniel, Castañeda-Orjuela, Carlos A, Castle, Chris D, Catalá-López, Ferrán, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Colombara, Danny, Cooper, Leslie Trumbull, Cooper, Cyrus, Cortesi, Paolo Angelo, Cortinovis, Monica, Criqui, Michael H, Cromwell, Elizabeth A, Cross, Marita, Crump, John A, Dadi, Abel Fekadu, Dalal, Koustuv, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dhillon, Preet K, Dicker, Daniel, Djalainia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dorsey, E Ray, dos Santos, Kadine Priscila Bender, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Echko, Michelle, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshetie, Setegn, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farag, Tamer, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Franklin, Richard C, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Goel, Kashish, Goenka, Shifalika, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gosselin, Richard A, Gotay, Carolyn C, Goto, Atsushi, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Rahul, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Harun, Kimani M, Harvey, James, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J, Hedayati, Mohammad T, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, Jassal, Simerjot K, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kar, Chittaranjan, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah T, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, 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Workicho, Abdulhalik, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Ye, Pengpeng, Yihdego, Mahari Gidey, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zhang, Xueying, Zheng, Yingfeng, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, and Murray, Christopher J L
Published: 2017
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33. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibthiel, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allam, Shalini D, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Assaye, Ashagre Molla, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M, Barboza, Miguel A, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D, Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R A, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Brugha, Traolach S, Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A, Cahill, Leah E, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Castañeda-Orjuela, Carlos A, Castro, Franz F, Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, 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34. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

Author: Fullman, Nancy, Barber, Ryan M, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alene, Kefyalew Addis, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Basu, Sanjay, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Bilal, Arebu I, Birungi, Charles, Biryukov, Stan, Bizuayehu, Habtamu Mellie, Blosser, Christopher D, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Brauer, Michael, Breitborde, Nicholas J K, Brugha, Traolach S, Bulto, Lemma Negesa Bulto, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Carabin, Hélène, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Castro, Ruben Estanislao, Catalá-López, Ferrán, Cercy, Kelly, Chang, Hsing-Yi, Chang, Jung-Chen, Charlson, Fiona J, Chew, Adrienne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Christensen, Hanne, Christopher, Devasahayam Jesudas, Cirillo, Massimo, Cooper, Cyrus, Criqui, Michael H, Cromwell, Elizabeth A, Crump, John A, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, José, Davitoiu, Dragos V, de Courten, Barbora, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, deVeber, Gabrielle A, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Donkelaar, Aaron van, Dorsey, E Ray, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Ebrahimi, Hedyeh, El-Khatib, Ziad Ziad, 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Published: 2017
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35. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Vos, Theo, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adamu, Abdu Abdullahi, Adetokunboh, Olatunji, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Sanjay Kumar, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Altirkawi, Khalid A, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, 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Maria Inês, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Setegn, Tesfaye, Shackelford, Katya Anne, Shaheen, Amira, Shaikh, Masood Ali, Shamsipour, Mansour, Shariful Islam, Sheikh Mohammed, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shi, Peilin, Shields, Chloe, Shifa, Girma Temam, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shirude, Shreya, Shishani, Kawkab, Shrime, Mark G, Sibai, Abla Mehio, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Singh, Narinder Pal, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Skirbekk, Vegard, Slepak, Erica Leigh, Sligar, Amber, Smith, David L, Smith, Mari, Sobaih, Badr H A, Sobngwi, Eugene, Sorensen, Reed J D, Sousa, Tatiane Cristina Moraes, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Murray B, Stein, Dan J, Steiner, Timothy J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Stovner, Lars Jacob, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Sylte, Dillon O, Tabarés-Seisdedos, Rafael, Taffere, Getachew Redae, Takala, Jukka S, Tandon, Nikhil, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Terkawi, Abdullah Sulieman, Tesfaye, Dawit Jember, Tesssema, Belay, Thamsuwan, Ornwipa, Thomas, Katie E, Thrift, Amanda G, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tollanes, Mette C, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Touvier, Mathilde, Tran, Bach Xuan, Tripathi, Suryakant, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Venkatesh, S, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wadilo, Fiseha, Wakayo, Tolassa, Wang, Yuan-Pang, Weaver, Marcia, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wijeratne, Tissa, Wiysonge, Charles Shey, Wolfe, Charles D A, Woodbrook, Rachel, Woolf, Anthony D, Workicho, Abdulhalik, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zhang, Xueying, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, and Murray, Christopher J L
Published: 2017
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36. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Gakidou, Emmanuela, Afshin, Ashkan, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Abyu, Gebre Yitayih, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afarideh, Mohsen, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Komal, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansari, Hossein, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Ballew, Shoshana H, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Batis, Carolina, Battle, Katherine E, Baumgarner, Blair R, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Blosser, Christopher D, Boneya, Dube Jara, Bou-Orm, Ibrahim R, Brauer, Michael, Breitborde, Nicholas J K, Brenner, Hermann, Brugha, Traolach S, Bulto, Lemma Negesa Bulto, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cárdenas, Rosario, Carrero, Juan Jesus, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Cercy, Kelly, Chang, Hsing-Yi, Charlson, Fiona J, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Christensen, Hanne, Christopher, Devasahayam Jesudas, Cirillo, Massimo, Cohen, Aaron J, Comfort, Haley, Cooper, Cyrus, Coresh, Josef, Cornaby, Leslie, Cortesi, Paolo Angelo, Criqui, Michael H, Crump, John A, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davey, Gail, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deshpande, Aniruddha, Dharmaratne, Samath D, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Donkelaar, Aaron van, Dorsey, E Ray, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Duncan, Sarah, Ebrahimi, Hedyeh, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose Aquino, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fay, Kairsten, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Ganji, Morsaleh, Garcia-Basteiro, Alberto L, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gill, Paramjit Singh, Gillum, Richard F, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goryakin, Yevgeniy, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Guo, Jingwen, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hanson, Sarah Wulf, Harb, Hilda L, Hareri, Habtamu Abera, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hawley, Caitlin, Hay, Simon I, Hedayati, Mohammad T, Hendrie, Delia, Heredia-Pi, Ileana Beatriz, Hernandez, Julio Cesar Montañez, Hoek, Hans W, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Huang, John J, Huang, Hsiang, Ibrahim, Norlinah Mohamed, Iburg, Kim Moesgaard, Ikeda, Chad, Inoue, Manami, Irvine, Caleb Mackay Salpeter, Jackson, Maria Delores, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Jauregui, Alejandra, Javanbakht, Mehdi, Jeemon, Panniyammakal, Johansson, Lars R K, Johnson, Catherine O, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Karch, André, Karema, Corine Kakizi, Kasaeian, Amir, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemmer, Laura, Kengne, Andre Pascal, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Jun Y, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kivimaki, Mika, Knibbs, Luke D, Knudsen, Ann Kristin, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kromhout, Hans, Kumar, G Anil, Kutz, Michael, Kyu, Hmwe H, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lan, Qing, Lansingh, Van C, Larsson, Anders, Lee, Paul H, Lee, Alexander, Leigh, James, Leung, Janni, Levi, Miriam, Levy, Teresa Shamah, Li, Yichong, Li, Yongmei, Liang, Xiaofeng, Liben, Misgan Legesse, Linn, Shai, Liu, Patrick, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katherine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimundas, Macarayan, Erlyn Rachelle King, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Mantovani, Lorenzo G, Mapoma, Chabila C, Martin, Randall V, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Mathur, Manu Raj, Matsushita, Kunihiro, Matzopoulos, Richard, Mazidi, Mohsen, McAlinden, Colm, McGrath, John J, Mehata, Suresh, Mehndiratta, Man Mohan, Meier, Toni, Melaku, Yohannes Adama, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mensah, George A, Mensink, Gert B M, Mereta, Seid Tiku, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, Monasta, Lorenzo, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morrison, Shane D, Mountjoy-Venning, Cliff, Mueller, Ulrich O, Mullany, Erin C, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Naghavi, Mohsen, Naheed, Aliya, Nangia, Vinay, Natarajan, Gopalakrishnan, Negoi, Ruxandra Irina, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olivares, Pedro R, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Ota, Erika, Owolabi, Mayowa O, PA, Mahesh, Pacella, Rosana E, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandian, Jeyaraj D, Papachristou, Christina, Park, Eun-Kee, Parry, Charles D, Patten, Scott B, Patton, George C, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pillay, Julian David, Piradov, Michael A, Pishgar, Farhad, Plass, Dietrich, Pletcher, Martin A, Polinder, Suzanne, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prasad, Narayan, Purcell, Carrie, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rawaf, Salman, Rehm, Colin D, Rehm, Jürgen, Reiner, Robert C, Reitsma, Marissa B, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Reynales-Shigematsu, Luz Myriam, Rezaei, Satar, Ribeiro, Antonio L, Rivera, Juan A, Roba, Kedir Teji, Rojas-Rueda, David, Roman, Yesenia, Room, Robin, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Rubagotti, Enrico, Rushton, Lesley, Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sahathevan, Ramesh, Salama, Joseph, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Sánchez-Pimienta, Tania G, Santomauro, Damian, Santos, Itamar S, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Schmidt, Maria Inês, Schneider, Ione J C, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sepanlou, Sadaf G, Serdar, Berrin, Servan-Mori, Edson E, Shaddick, Gavin, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Shariful Islam, Sheikh Mohammed, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shi, Peilin, Shibuya, Kenji, Shields, Chloe, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shishani, Kawkab, Shoman, Haitham, Shrime, Mark G, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh, Smith, David L, Smith, Mari, Sobaih, Badr H A, Sobngwi, Eugene, Soneji, Samir, Sorensen, Reed J D, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Steel, Nicholas, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Takahashi, Ken, Takala, Jukka S, Tandon, Nikhil, Tanner, Marcel, Tarekegn, Yihunie L, Tavakkoli, Mohammad, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Terkawi, Abdullah Sulieman, Tesssema, Belay, Thakur, JS, Thamsuwan, Ornwipa, Thankappan, Kavumpurathu Raman, Theis, Andrew M, Thomas, Matthew Lloyd, Thomson, Alan J, Thrift, Amanda G, Tillmann, Taavi, Tobe-Gai, Ruoyan, Tobollik, Myriam, Tollanes, Mette C, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna, Tortajada, Miguel, Touvier, Mathilde, Tran, Bach Xuan, Truelsen, Thomas, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Veerman, Lennert J, Venkateswaran, Vidhya, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wadilo, Fiseha, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Workicho, Abdulhalik, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yakob, Bereket, Yan, Lijing L, Yaseri, Mehdi, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zavala-Arciniega, Luis, Zhang, Xueying, Zimsen, Stephanie Raman M, Zipkin, Ben, Zodpey, Sanjay, Lim, Stephen S, and Murray, Christopher J L
Published: 2017
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37. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Naghavi, Mohsen, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Aboyans, Victor, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Miloud Taki Eddine, Aichour, Ibtihel, Aiyar, Sneha, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andersen, Hjalte H, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Balakrishnan, Kalpana, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne L, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert R A, Breitborde, Nicholas J K, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Car, Josip, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Charlson, Fiona J, Chibueze, Chioma Ezinne, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Cohen, Aaron J, Colombara, Danny, Cooper, Cyrus, Cowie, Benjamin C, Criqui, Michael H, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, Deribew, Amare, Dey, Subhojit, Dicker, Daniel, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Douwes-Schultz, Dirk, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Echko, Michelle, El-Khatib, Ziad Ziad, Ellingsen, Christian Lycke, Enayati, Ahmadali, Ermakov, Sergey Petrovich, Erskine, Holly E, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Finegold, Samuel, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Frank, Tahvi, Fraser, Maya, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremichael, Delelegn Yilma, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W, Gillum, Richard F, Giref, Ababi Zergaw, Giroud, Maurice, Giussani, Giorgia, Godwin, William W, Gold, Audra L, Goldberg, Ellen M, Gona, Philimon N, Gopalani, Sameer Vali, Gouda, Hebe N, Goulart, Alessandra Carvalho, Griswold, Max, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Parkash C, Haagsma, Juanita A, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Simon I, He, Fei, Hedayati, Mohammad T, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Huynh, Chantal, Iburg, Kim Moesgaard, Ikeda, Chad, Ileanu, Bogdan Vasile, Irenso, Asnake Ararsa, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jha, Vivekanand, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Karch, André, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kievlan, Daniel, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar, Pushpendra, Kutz, Michael, Kyu, Hmwe H, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Tea Lallukka Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Anders, Lee, Paul H, Leigh, James, Leung, Janni, Levi, Miriam, Li, Yongmei, Li Kappe, Darya, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Liu, Patrick Y, Liu, Angela, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Ma, Stefan, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Manguerra, Helena, Manyazewal, Tsegahun, Mapoma, Chabila C, Marczak, Laurie B, Markos, Desalegn, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mohamed, Ibrahim Abdelmageem, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mokdad, Ali H, Mola, Glen Liddell D, Mollenkopf, Sarah K, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio C, Montico, Marcella, Mooney, Meghan D, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morozoff, Chloe, Morrison, Shane D, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Nachega, Jean B, Naheed, Aliya, Naldi, Luigi, Nangia, Vinay, Nascimento, Bruno Ramos, Nasher, Jamal T, Natarajan, Gopalakrishnan, Negoi, Ionut, Ngunjiri, Josephine Wanjiku, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nong, Vuong Minh, Noubiap, Jean Jacques N, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Olagunju, Andrew Toyin, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osman, Majdi, Ota, Erika, PA, Mahesh, Pacella, Rosana E, Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Papachristou, Christina, Park, Eun-Kee, Patten, Scott B, Patton, George C, Paudel, Deepak, Paulson, Katherine, Pereira, David M, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Petzold, Max, Phillips, Michael Robert, Pigott, David M, Pinho, Christine, Plass, Dietrich, Pletcher, Martin A, Polinder, Suzanne, Postma, Maarten J, Pourmalek, Farshad, Purcell, Caroline, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ranabhat, Chhabi Lal, Rankin, Zane, Rao, Puja C, Rath, Goura Kishor, Rawaf, Salman, Ray, Sarah E, Rehm, Jürgen, Reiner, Robert C, Reitsma, Marissa B, Remuzzi, Giuseppe, Rezaei, Satar, Rezai, Mohammad Sadegh, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Ruhago, George Mugambage, SA, Rizwan, Saadat, Soheil, Sachdev, Perminder S, Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Salama, Joseph, Salamati, Payman, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Santomauro, Damian, Santos, Itamar S, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Schmidt, Maria Inês, Schneider, Ione J C, Schulhofer-Wohl, Sam, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shackelford, Katya Anne, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shey, Muki, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shiri, Rahman, Shirude, Shreya, Shiue, Ivy, Shoman, Haitham, Shrime, Mark G, Sigfusdottir, Inga Dora, Silpakit, Naris, Silva, João Pedro, Singh, Jasvinder A, Singh, Abhishek, Skiadaresi, Eirini, Sligar, Amber, Smith, David L, Smith, Alison, Smith, Mari, Sobaih, Badr H A, Soneji, Samir, Sorensen, Reed J D, Soriano, Joan B, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strong, Mark, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Takahashi, Ken, Takala, Jukka S, Talongwa, Roberto Tchio, Tarawneh, Mohammed Rasoul, Tavakkoli, Mohammad, Taveira, Nuno, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Thakur, J S, Thamsuwan, Ornwipa, Thankappan, Kavumpurathu Raman, Thomas, Katie E, Thompson, Alex H, Thomson, Alan J, Thrift, Amanda G, Tobe-Gai, Ruoyan, Topor-Madry, Roman, Torre, Anna, Tortajada, Miguel, Towbin, Jeffrey Allen, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N, Undurraga, Eduardo A, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whetter, Brian, Whiteford, Harvey A, Wijeratne, Tissa, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Workicho, Abdulhalik, Xavier, Denis, Xiao, Qingyang, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zipkin, Ben, Zodpey, Sanjay, Lopez, Alan D, and Murray, Christopher J L
Published: 2017
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38. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Soriano, Joan B, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abera, Semaw Ferede, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Alam, Khurshid, Alam, Noore, Alkaabi, Juma M, Al-Maskari, Fatma, Alvis-Guzman, Nelson, Amberbir, Alemayehu, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antó, Josep M, Asayesh, Hamid, Atey, Tesfay Mehari, Avokpaho, Euripide Frinel G Arthur, Barac, Aleksandra, Basu, Sanjay, Bedi, Neeraj, Bensenor, Isabela M, Berhane, Adugnaw, Beyene, Addisu Shunu, Bhutta, Zulfiqar A, Biryukov, Stan, Boneya, Dube Jara, Brauer, Michael, Carpenter, David O, Casey, Daniel, Christopher, Devasahayam Jesudas, Dandona, Lalit, Dandona, Rakhi, Dharmaratne, Samath D, Do, Huyen Phuc, Fischer, Florian, Gebrehiwot, Tsegaye T, Geleto, Ayele, Ghoshal, Aloke Gopal, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gupta, Vipin, Hay, Simon I, Hedayati, Mohammad T, Horita, Nobuyuki, Hosgood, H Dean, Jakovljevic, Mihajlo (Michael) B, James, Spencer Lewis, Jonas, Jost B, Kasaeian, Amir, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khubchandani, Jagdish, Knibbs, Luke D, Kosen, Soewarta, Koul, Parvaiz A, Kumar, G Anil, Leshargie, Cheru Tesema, Liang, Xiaofeng, El Razek, Hassan Magdy Abd, Majeed, Azeem, Malta, Deborah Carvalho, Manhertz, Treh, Marquez, Neal, Mehari, Alem, Mensah, George A, Miller, Ted R, Mohammad, Karzan Abdulmuhsin, Mohammed, Kedir Endris, Mohammed, Shafiu, Mokdad, Ali H, Naghavi, Mohsen, Nguyen, Cuong Tat, Nguyen, Grant, Le Nguyen, Quyen, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nong, Vuong Minh, Obi, Jennifer Ifeoma, Odeyemi, Yewande E, Ogbo, Felix Akpojene, Oren, Eyal, PA, Mahesh, Park, Eun-Kee, Patton, George C, Paulson, Katherine, Qorbani, Mostafa, Quansah, Reginald, Rafay, Anwar, Rahman, Mohammad Hifz Ur, Rai, Rajesh Kumar, Rawaf, Salman, Reinig, Nik, Safiri, Saeid, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Savic, Miloje, Sawhney, Monika, Shigematsu, Mika, Smith, Mari, Tadese, Fentaw, Thurston, George D, Topor-Madry, Roman, Tran, Bach Xuan, Ukwaja, Kingsley Nnanna, van Boven, Job F M, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wan, Xia, Werdecker, Andrea, Hanson, Sarah Wulf, Yano, Yuichiro, Yimam, Hassen Hamid, Yonemoto, Naohiro, Yu, Chuanhua, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Lopez, Alan D, Murray, Christopher J L, and Vos, Theo
Published: 2017
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39. Auxins of microbial origin and their use in agriculture

Author: Keswani, Chetan, Singh, Satyendra Pratap, Cueto, Laura, García-Estrada, Carlos, Mezaache-Aichour, Samia, Glare, Travis R., Borriss, Rainer, Singh, Surya Pratap, Blázquez, Miguel Angel, and Sansinenea, Estibaliz
Published: 2020
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40. Towards a prediction of outdoor human thermal comfort adapted for designers of urban spaces: examining UTCI and APCI in the context of Algiers (Algeria)

Author: Talhi, Assia, Barlet, Aline, Bruneau, Denis, and Aichour, Boudjamâa
Published: 2020
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41. Antimicrobial secondary metabolites from agriculturally important bacteria as next-generation pesticides

Author: Keswani, Chetan, Singh, Harikesh B., García-Estrada, Carlos, Caradus, John, He, Ya-Wen, Mezaache-Aichour, Samia, Glare, Travis R., Borriss, Rainer, and Sansinenea, Estibaliz
Published: 2020
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42. Antimicrobial secondary metabolites from agriculturally important fungi as next biocontrol agents

Author: Keswani, Chetan, Singh, Harikesh B., Hermosa, Rosa, García-Estrada, Carlos, Caradus, John, He, Ya-Wen, Mezaache-Aichour, Samia, Glare, Travis R., Borriss, Rainer, Vinale, Francesco, and Sansinenea, Estibaliz
Published: 2019
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43. Highly brilliant green removal from wastewater by mesoporous adsorbents: Kinetics, thermodynamics and equilibrium isotherm studies

Author: Aichour, Amina and Zaghouane-Boudiaf, Hassina
Published: 2019
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44. Global, regional, and national burden of Alzheimer's disease and other dementias, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Nichols, Emma, Szoeke, Cassandra E I, Vollset, Stein Emil, Abbasi, Nooshin, Abd-Allah, Foad, Abdela, Jemal, Aichour, Miloud Taki Eddine, Akinyemi, Rufus O, Alahdab, Fares, Asgedom, Solomon W, Awasthi, Ashish, Barker-Collo, Suzanne L, Baune, Bernhard T, Béjot, Yannick, Belachew, Abate B, Bennett, Derrick A., Biadgo, Belete, Bijani, Ali, Bin Sayeed, Muhammad Shahdaat, Brayne, Carol, Carpenter, David O, Carvalho, Félix, Catalá-López, Ferrán, Cerin, Ester, Choi, Jee-Young J, Dang, Anh Kim, Degefa, Meaza G, Djalalinia, Shirin, Dubey, Manisha, Duken, Eyasu Ejeta, Edvardsson, David, Endres, Matthias, Eskandarieh, Sharareh, Faro, Andre, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Gebre, Abadi K, Geremew, Demeke, Ghasemi-Kasman, Maryam, Gnedovskaya, Elena V., Gupta, Rajeev, Hachinski, Vladimir, Hagos, Tekleberhan B, Hamidi, Samer, Hankey, Graeme J., Haro, Josep M, Hay, Simon I, Irvani, Seyed Sina N, Jha, Ravi P, Jonas, Jost B., Kalani, Rizwan, Karch, André, Kasaeian, Amir, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khanna, Tripti, Khoja, Tawfik A M, Khubchandani, Jagdish, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Koyanagi, Ai, Krohn, Kristopher J, Logroscino, Giancarlo, Lorkowski, Stefan, Majdan, Marek, Malekzadeh, Reza, März, Winfried, Massano, João, Mengistu, Getnet, Meretoja, Atte, Mohammadi, Moslem, Mohammadi-Khanaposhtani, Maryam, Mokdad, Ali H, Mondello, Stefania, Moradi, Ghobad, Nagel, Gabriele, Naghavi, Mohsen, Naik, Gurudatta, Nguyen, Long H, Nguyen, Trang H, Nirayo, Yirga L, Nixon, Molly R, Ofori-Asenso, Richard, Ogbo, Felix A, Olagunju, Andrew T, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Passos, Valéria M de Azeredo, Pereira, David M., Pinilla-Monsalve, Gabriel D, Piradov, Michael A, Pond, Constance D, Poustchi, Hossein, Qorbani, Mostafa, Radfar, Amir, Reiner, Robert C, Jr., Robinson, Stephen R, Roshandel, Gholamreza, Rostami, Ali, Russ, Tom C, Sachdev, Perminder S, Safari, Hosein, Safiri, Saeid, Sahathevan, Ramesh, Salimi, Yahya, Satpathy, Maheswar, Sawhney, Monika, Saylan, Mete, Sepanlou, Sadaf G., Shafieesabet, Azadeh, Shaikh, Masood A, Sahraian, Mohammad Ali, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Silva, João P, Smith, Mari, Sobhani, Soheila, Stein, Dan J, Tabarés-Seisdedos, Rafael, Tovani-Palone, Marcos R, Tran, Bach X, Tran, Tung Thanh, Tsegay, Amanuel T, Ullah, Irfan, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Wang, Yuan-Pang, Weiss, Jordan, Westerman, Ronny, Wijeratne, Tissa, Wyper, Grant M.A., Yano, Yuichiro, Yimer, Ebrahim M, Yonemoto, Naohiro, Yousefifard, Mahmoud, Zaidi, Zoubida, Zare, Zohreh, Vos, Theo, Feigin, Valery L., and Murray, Christopher J L
Published: 2019
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45. The Landscape of the City of Biskra in Front of Proposal Strategies of Wind and Solar Energy: Evaluation of the Quality of Energetic Landscape

Author: Brahimi, Souad, Aichour, Boudjemea, Bouzaher, Soumia, Abdalla, Hassan, Series editor, Abdul Mannan, Md., Series editor, Alalouch, Chaham, Series editor, Attia, Sahar, Series editor, Boemi, Sofia Natalia, Series editor, Bougdah, Hocine, Series editor, Bozonnet, Emmanuel, Series editor, De Bonis, Luciano, Series editor, Hawkes, Dean, Series editor, Kostopoulou, Stella, Series editor, Mahgoub, Yasser, Series editor, Mesbah Elkaffas, Saleh, Series editor, Mohareb, Nabil, Series editor, O. Gawad, Iman, Series editor, Oostra, Mieke, Series editor, Pignatta, Gloria, Series editor, Pisello, Anna Laura, Series editor, Rosso, Federica, Series editor, Kallel, Amjad, editor, Ksibi, Mohamed, editor, Ben Dhia, Hamed, editor, and Khélifi, Nabil, editor
Published: 2018
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46. Bioadsorbent beads prepared from activated biomass/alginate for enhanced removal of cationic dye from water medium: Kinetics, equilibrium and thermodynamic studies

Author: Aichour, Amina, Zaghouane-Boudiaf, Hassina, Iborra, César Viseras, and Polo, Manuel Sanchez
Published: 2018
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47. Phytochemical composition, antioxidant, cytotoxic, haemolytic and antibacterial activities of aerial parts of Rhamnus alaternus

Author: AICHOUR, SAMIRA, primary, MOUFFOUK, CHAIMA, additional, BENKHALED, MOHAMMED, additional, and HABA, HAMADA, additional
Published: 2023
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48. Synthesis and characterization of hybrid activated bentonite/alginate composite to improve its effective elimination of dyes stuff from wastewater

Author: Aichour, Amina and Zaghouane-Boudiaf, Hassina
Published: 2020
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49. TOWARDS A FEMINIZATION OF JOB NAMES: SOCIAL RESISTANCE OR/AND LINGUISTIC EVOLUTION?

Author: Feiza AICHOUR
Subjects: General Medicine
Abstract: The feminization of job names is a linguistic development that aims to designate job names in feminized forms. This conveys a lot of resistance, largely socio-cultural and linguistic. It involves a crosscutting approach using language policy, without forgetting the socio-cultural point of view. For some job names, it is difficult to find an equivalent in the feminine. The problem lies fundamentally in the nouns with a unique masculine gender used to designate jobs traditionally for men, to which women now have access. How to name a woman "firefighter"? The field of investigation hereby explored relates to the semantic and morphosyntactic networks which refer to the names of jobs used in the feminine form in the French linguistic system. Despite current attempts at feminization, there exist opponents to the feminization of job names. Keywords: Applied Linguistics, Feminization, Job Names, Resistance, Linguistic Evolution, Hesitations
Published: 2022

50. Analysis of road networks (The landscape approach and Spatial syntax), Case of the Biskra road (Batna - Algeria)

Author: Dounia Khireddine and Boudjemâa Aichour
Abstract: The urban landscape is a concept closely linked to the comfort and well -being of the citizen. Today, producing a remarkable urban landscape has become an important issue in all countries of the world, a correct image that emerges from a product built frame is considered a capital gain for the attractiveness of the territory. This work is essentially interested in the urban landscape as a perceived quality, and according to a sensitive method combined with a visibility study with the tools of spatial syntax, applied to the case of study namely the city of Batna in Algeria, the 'Study of a historic street in the city, shows which urban landscape is in perpetual transformation. Recent changes have negatively influenced the image of the city's urban landscape and it is necessary to take urban measures in order to preserve it.
Published: 2022

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