Author: "Mooney, Meghan D." / Topic: mortality - Searchworks@Jio Institute Digital Library Search Results

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1. On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Author: Mboi N, Murty Surbakti I, Trihandini I, Elyazar I, Houston Smith K, Bahjuri Ali P, Kosen S, Flemons K, Ray SE, Cao J, Glenn SD, Miller-Petrie MK, Mooney MD, Ried JL, Nur Anggraini Ningrum D, Idris F, Siregar KN, Harimurti P, Bernstein RS, Pangestu T, Sidharta Y, Naghavi M, Murray CJL, and Hay SI
Subjects: Aged, Aged, 80 and over, Chronic Disease mortality, Communicable Diseases mortality, Delivery of Health Care, Female, Global Health statistics & numerical data, Health Transition, Humans, Indonesia epidemiology, Infant, Infant, Newborn, Longevity, Male, Middle Aged, Nutrition Disorders epidemiology, Wounds and Injuries mortality, Chronic Disease epidemiology, Communicable Diseases epidemiology, Global Burden of Disease, Life Expectancy trends, Mortality trends, Universal Health Insurance, Wounds and Injuries epidemiology
Abstract: Background: As Indonesia moves to provide health coverage for all citizens, understanding patterns of morbidity and mortality is important to allocate resources and address inequality. The Global Burden of Disease 2016 study (GBD 2016) estimates sources of early death and disability, which can inform policies to improve health care., Methods: We used GBD 2016 results for cause-specific deaths, years of life lost, years lived with disability, disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 333 causes in Indonesia and in seven comparator countries. Estimates were produced by location, year, age, and sex using methods outlined in GBD 2016. Using the Socio-demographic Index, we generated expected values for each metric and compared these against observed results., Findings: In Indonesia between 1990 and 2016, life expectancy increased by 8·0 years (95% uncertainty interval [UI] 7·3-8·8) to 71·7 years (71·0-72·3): the increase was 7·4 years (6·4-8·6) for males and 8·7 years (7·8-9·5) for females. Total DALYs due to communicable, maternal, neonatal, and nutritional causes decreased by 58·6% (95% UI 55·6-61·6), from 43·8 million (95% UI 41·4-46·5) to 18·1 million (16·8-19·6), whereas total DALYs from non-communicable diseases rose. DALYs due to injuries decreased, both in crude rates and in age-standardised rates. The three leading causes of DALYs in 2016 were ischaemic heart disease, cerebrovascular disease, and diabetes. Dietary risks were a leading contributor to the DALY burden, accounting for 13·6% (11·8-15·4) of DALYs in 2016., Interpretation: Over the past 27 years, health across many indicators has improved in Indonesia. Improvements are partly offset by rising deaths and a growing burden of non-communicable diseases. To maintain and increase health gains, further work is needed to identify successful interventions and improve health equity., Funding: The Bill & Melinda Gates Foundation., (Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2018
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2. Population health and regional variations of disease burden in Japan, 1990–2015: a systematic subnational analysis for the Global Burden of Disease Study 2015

Author: Nomura, Shuhei, Sakamoto, Haruka, Glenn, Scott, Tsugawa, Yusuke, Abe, Sarah K, Rahman, Md M, Brown, Jonathan C, Ezoe, Satoshi, Fitzmaurice, Christina, Inokuchi, Tsuyoshi, Kassebaum, Nicholas J, Kawakami, Norito, Kita, Yosuke, Kondo, Naoki, Lim, Stephen S, Maruyama, Satoshi, Miyata, Hiroaki, Mooney, Meghan D, Naghavi, Mohsen, Onoda, Tomoko, Ota, Erika, Otake, Yuji, Roth, Gregory A, Saito, Eiko, Tabuchi, Takahiro, Takasaki, Yohsuke, Tanimura, Tadayuki, Uechi, Manami, Vos, Theo, Wang, Haidong, Inoue, Manami, Murray, Christopher JL, and Shibuya, Kenji
Subjects: Aging, Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adult, Aged, Cause of Death, Disabled Persons, Female, Global Burden of Disease, Health Status, Humans, Japan, Life Expectancy, Male, Middle Aged, Mortality, Population Health, Risk Factors, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundJapan has entered the era of super-ageing and advanced health transition, which is increasingly putting pressure on the sustainability of its health system. The level and pace of this health transition might vary across regions within Japan and concern is growing about increasing regional variations in disease burden. The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) provides a comprehensive, comparable framework. We used data from GBD 2015 with the aim to quantify the burden of disease and injuries, and to attribute risk factors in Japan at a subnational, prefecture-level.MethodsWe used data from GBD 2015 for 315 causes and 79 risk factors of death, disease, and injury incidence and prevalence to measure the burden of diseases and injuries in Japan and in the 47 Japanese prefectures from 1990 to 2015. We extracted data from GBD 2015 to assess mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy, and healthy life expectancy (HALE) in Japan and its 47 prefectures. We split extracted data by prefecture and applied GBD methods to generate estimates of burden, and attributable burden due to known risk factors. We examined the prefecture-level relationships of common health system inputs (eg, health expenditure and workforces) to the GBD outputs in 2015 to address underlying determinants of regional health variations.FindingsLife expectancy at birth in Japan increased by 4·2 years from 79·0 years (95% uncertainty interval [UI] 79·0 to 79·0) to 83·2 years (83·1 to 83·2) between 1990 and 2015. However, the gaps between prefectures with the lowest and highest life expectancies and HALE have widened, from 2·5 to 3·1 years and from 2·3 to 2·7 years, respectively, from 1990 to 2015. Although overall age-standardised death rates decreased by 29·0% (28·7 to 29·3) from 1990 to 2015, the rates of mortality decline in this period substantially varied across the prefectures, ranging from -32·4% (-34·8 to -30·0) to -22·0% (-20·4 to -20·1). During the same time period, the rate of age-standardised DALYs was reduced overall by 19·8% (17·9 to 22·0). The reduction in rates of age-standardised YLDs was very small by 3·5% (2·6 to 4·3). The pace of reduction in mortality and DALYs in many leading causes has largely levelled off since 2005. Known risk factors accounted for 34·5% (32·4 to 36·9) of DALYs; the two leading behavioural risk factors were unhealthy diets and tobacco smoking in 2015. The common health system inputs were not associated with age-standardised death and DALY rates in 2015.InterpretationJapan has been successful overall in reducing mortality and disability from most major diseases. However, progress has slowed down and health variations between prefectures is growing. In view of the limited association between the prefecture-level health system inputs and health outcomes, the potential sources of regional variations, including subnational health system performance, urgently need assessment.FundingBill & Melinda Gates Foundation, Japan Ministry of Education, Science, Sports and Culture, Japan Ministry of Health, Labour and Welfare, AXA CR Fixed Income Fund and AXA Research Fund.
Published: 2017

3. Trends in prevalence, mortality, and morbidity associated with high systolic blood pressure in Brazil from 1990 to 2017 : estimates from the 'Global Burden of Disease 2017' (GBD 2017) study

Author: Nascimento, Bruno Ramos, Brant, Luisa Campos Caldeira, Yadgir, Simon, Oliveira, Glaucia Maria Moraes de, Roth, Gregory A., Glenn, Scott Devon, Mooney, Meghan D., Naghavi, Mohsen, Passos, Valéria Maria de Azeredo, Duncan, Bruce Bartholow, Silva, Diego Augusto Santos, Malta, Deborah Carvalho, and Ribeiro, Antônio Luiz Pinho
Subjects: Global burden of disease, Carga global da doença, Epidemiology, Brasil, Hypertension, Mortalidade, Morbidity, Mortality, Epidemiologia, Hipertensão
Abstract: Background: Hypertension remains the leading risk factor for cardiovascular disease (CVD) worldwide, and its impact in Brazil should be assessed in order to better address the issue. We aimed to describe trends in prevalence and burden of disease attributable to high systolic blood pressure (HSBP) among Brazilians ≥ 25 years old according to sex and federal units (FU) using the Global Burden of Disease (GBD) 2017 estimates. Methods: We used the comparative risk assessment developed for the GBD study to estimate trends in attributable deaths and disability-adjusted life-years (DALY), by sex, and FU for HSBP from 1990 to 2017. This study included 14 HSBP-outcome pairs. HSBP was defined as ≥ 140 mmHg for prevalence estimates, and a theoretical minimum risk exposure level (TMREL) of 110–115 mmHg was considered for disease burden. We estimated the portion of deaths and DALYs attributed to HSBP. We also explored the drivers of trends in HSBP burden, as well as the correlation between disease burden and sociodemographic development index (SDI). Results: In Brazil, the prevalence of HSBP is 18.9% (95% uncertainty intervals [UI] 18.5–19.3%), with an annual 0.4% increase rate, while age-standardized death rates attributable to HSBP decreased from 189.2 (95%UI 168.5–209.2) deaths to 104.8 (95%UI 94.9–114.4) deaths per 100,000 from 1990 to 2017. In spite of that, the total number of deaths attributable to HSBP increased 53.4% and HSBP raised from 3rd to 1st position, as the leading risk factor for deaths during the period. Regarding total DALYs, HSBP raised from 4th in 1990 to 2nd cause in 2017. The main driver of change of HSBP burden is population aging. Across FUs, the reduction in the age-standardized death rates attributable to HSBP correlated with higher SDI. Conclusions: While HSBP prevalence shows an increasing trend, age-standardized death and DALY rates are decreasing in Brazil, probably as results of successful public policies for CVD secondary prevention and control, but suboptimal control of its determinants. Reduction was more significant in FUs with higher SDI, suggesting that the effect of health policies was heterogeneous. Moreover, HSBP has become the main risk factor for death in Brazil, mainly due to population aging.
Published: 2020

4. 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: 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, Devasahayam Jesudas, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colquhoun, Samantha M., Coresh, Josef, Criqui, Michael H., Cromwell, Elizabeth A., Crump, John A., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., das Neves, José, Davey, Gail, Davitoiu, Dragos V., Davletov, Kairat, de Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Ding, Eric L., Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fernandes, João C., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J., Frank, Tahvi, Franklin, Richard C., Fraser, Maya, Friedman, Joseph, Frostad, Joseph J., Fullman, Nancy, Fürst, Thomas, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L., Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirstos, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M., Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gibney, Katherine B., Gill, Paramjit, Gillum, Richard F., Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Hakuzimana, Alex, Halasa, Yara A., 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, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J., Hay, Simon I., He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W., Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Huang, Hsiang, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M. S., Islam, Sheikh Mohammed Shariful, Islam, Nazrul, Jacobsen, Kathryn H., Jaenisch, Thomas, Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Yun Jin, Kim, Cho-il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kimokoti, Ruth W., Kinfu, Yohannes, Kishawi, Sami, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kuipers, Ernst J., Kulikoff, Xie Rachel, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K., Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Anders, Laryea, Dennis Odai, Lavados, Pablo M., Laxmaiah, Avula, Lee, Paul H., Leigh, James, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Lipshultz, Steven E.., Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimundas, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn RachelleKing, Machado, Isis Eloah, Mackay, Mark T., Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Marks, Guy B., Martin, Elena Alvarez, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K., Mayosi, Bongani M., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M., Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R., Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Tuomo J., Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R., Mills, Edward J., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B. V., Mohanty, Sanjay K., Mokdad, Ali H., Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D., Mruts, Kalayu Birhane, Mueller, Ulrich O., Mullany, Erin, Muller, Kate, Murray, Christopher J. L., Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B., Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naidoo, Kovin S., Nanda, Lipika, Nangia, Vinay, Nascimento, Bruno Ramos, Natarajan, Gopalakrishnan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Ningrum, Dina Nur Anggraini, Nisar, Muhammad Imran, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N, Nyakarahuka, Luke, O'Donnell, Martin J, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Owolabi, Mayowa O., Oyekale, Abayomi Samuel, PA, Mahesh, Pacella, Rosana E., Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parsaeian, Mahboubeh, Patel, Tejas, Patten, Scott B., Patton, George C., Paudel, Deepak, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J., Poulton, Richie G., Pourmalek, Farshad, Prasad, Narayan, Purwar, Manorama, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Rabiee, Rynaz H. S., Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M., Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E., Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C., Remuzzi, Giuseppe, Renzaho, Andre M. N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rivas, Jacqueline Castillo, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salama, Joseph, Salamati, Payman, Salomon, Joshua A., Salvi, Sundeep Santosh, Samy, Abdallah M., Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Santos, Itamar S., Santric Milicevic, Milena M., Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schmidt, Maria Inês, Schneider, Ione J. C., Schulhofer-Wohl, Sam, Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Seedat, Soraya, Seid, Abdulbasit Musa, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shetty, Balakrishna P., Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga Dora, Silberberg, Donald H., Silpakit, Naris, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Sindi, Shireen, Singh, Jasvinder A., Singh, Prashant Kumar, Singh, Abhishek, Singh, Virendra, Sinha, Dhirendra Narain, Skarbek, Katarzyna A. Kissimova, Skiadaresi, Eirini, Sligar, Amber, Smith, David L., Sobaih, Badr H. A., Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J., Steiner, Caitlyn, Stöckl, Heidi, Stokes, Mark Andrew, Strong, Mark, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Szoeke, Cassandra E. 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Chudi, Van Boven, Job F.M., Varakin, Yuri Y., Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vishnu, Abhishek, Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L., Wakayo, Tolassa, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D., Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D.A., Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Deni, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Lopez, Alan D., Murray, Christopher J.L., Wang, H, Abajobir, A, Abate, K, Abbafati, C, Abbas, K, Abd-Allah, F, Abera, S, Abraha, H, Abu-Raddad, L, Abu-Rmeileh, N, Adedeji, I, Adedoyin, R, Adetifa, I, Adetokunboh, O, Afshin, A, Aggarwal, R, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Aiyar, S, Akanda, A, Akinyemiju, T, Akseer, N, Al-Eyadhy, A, Al Lami, F, Alabed, S, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Aldridge, R, Alene, K, Alhabib, S, Ali, R, Alizadeh-Navaei, R, Aljunid, S, Alkaabi, J, Alkerwi, A, Alla, F, Allam, S, Allebeck, P, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Martin, E, Alvis-Guzman, N, Amare, A, Ameh, E, Amini, E, Ammar, W, Amoako, Y, Anber, N, Andrei, C, Androudi, S, Ansari, H, Ansha, M, Antonio, C, Anwari, P, Ärnlöv, J, Arora, M, Artaman, A, Aryal, K, Asayesh, H, Asgedom, S, Asghar, R, Assadi, R, Atey, T, Atre, S, Avila-Burgos, L, Avokpaho, E, Awasthi, A, Ayala Quintanilla, B, Babalola, T, Bacha, U, Badawi, A, Balakrishnan, K, Balalla, S, Barac, A, Barber, R, Barboza, M, Barker-Collo, S, Bärnighausen, T, Barquera, S, Barregard, L, Barrero, L, Baune, B, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bekele, B, Bell, M, Bello, A, Bennett, D, Bennett, J, Bensenor, I, Benson, J, Berhane, A, Berhe, D, Bernabé, E, Beuran, M, Beyene, A, Bhala, N, Bhansali, A, Bhaumik, S, Bhutta, Z, Bikbov, B, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, H, Bjerregaard, P, Blosser, C, Boneya, D, Boufous, S, Bourne, R, Brazinova, A, Breitborde, N, Brenner, H, Brugha, T, Bukhman, G, Bulto, L, Bumgarner, B, Burch, M, Butt, Z, Cahill, L, Cahuana-Hurtado, L, Campos-Nonato, I, Car, J, Car, M, Cárdenas, R, Carpenter, D, Carrero, J, Carter, A, Castañeda-Orjuela, C, Castillo Rivas, J, Castro, F, Castro, R, Catalá-López, F, Chen, H, Chiang, P, Chibalabala, M, Chisumpa, V, Chitheer, A, Choi, J, Christensen, H, Christopher, D, Ciobanu, L, Cirillo, M, Cohen, A, Colquhoun, S, Coresh, J, Criqui, M, Cromwell, E, Crump, J, Dandona, L, Dandona, R, Dargan, P, Das Neves, J, Davey, G, Davitoiu, D, Davletov, K, De Courten, B, De Leo, D, Degenhardt, L, Deiparine, S, Dellavalle, R, Deribe, K, Deribew, A, Des Jarlais, D, Dey, S, Dharmaratne, S, Dherani, M, Diaz-Torné, C, Ding, E, Dixit, P, Djalalinia, S, Do, H, Doku, D, Donnelly, C, Dos Santos, K, Douwes-Schultz, D, Driscoll, T, Duan, L, Dubey, M, Duncan, B, Dwivedi, L, Ebrahimi, H, El Bcheraoui, C, Ellingsen, C, Enayati, A, Endries, A, Ermakov, S, Eshetie, S, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Fanuel, F, Faro, A, Farvid, M, Farzadfar, F, Feigin, V, Fereshtehnejad, S, Fernandes, J, Feyissa, T, Filip, I, Fischer, F, Foigt, N, Foreman, K, Frank, T, Franklin, R, Fraser, M, Friedman, J, Frostad, J, Fullman, N, Fürst, T, Furtado, J, Futran, N, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gankpé, F, Garcia-Basteiro, A, Gebregergs, G, Gebrehiwot, T, Gebrekidan, K, Gebremichael, M, Gelaye, A, Geleijnse, J, Gemechu, B, Gemechu, K, Genova-Maleras, R, Gesesew, H, Gething, P, Gibney, K, Gill, P, Gillum, R, Giref, A, Girma, B, Giussani, G, Goenka, S, Gomez, B, Gona, P, Gopalani, S, Goulart, A, Graetz, N, Gugnani, H, Gupta, P, Gupta, R, Gupta, T, Gupta, V, Haagsma, J, Hafezi-Nejad, N, Haghparast Bidgoli, H, Hakuzimana, A, Halasa, Y, Hamadeh, R, Hambisa, M, Hamidi, S, Hammami, M, Hancock, J, Handal, A, Hankey, G, Hao, Y, Harb, H, Hareri, H, Harikrishnan, S, Haro, J, Hassanvand, M, Havmoeller, R, Hay, R, Hay, S, He, F, Heredia-Pi, I, Herteliu, C, Hilawe, E, Hoek, H, Horita, N, Hosgood, H, Hostiuc, S, Hotez, P, Hoy, D, Hsairi, M, Htet, A, Hu, G, Huang, H, Huang, J, Iburg, K, Igumbor, E, Ileanu, B, Inoue, M, Irenso, A, Irvine, C, Islam, N, Jacobsen, K, Jaenisch, T, Jahanmehr, N, Jakovljevic, M, Javanbakht, M, Jayatilleke, A, Jeemon, P, Jensen, P, Jha, V, Jin, Y, John, D, John, O, Johnson, S, Jonas, J, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, C, Karimi, S, Karthikeyan, G, Kasaeian, A, Kassaw, N, Kassebaum, N, Kastor, A, Katikireddi, S, Kaul, A, Kawakami, N, Kazanjan, K, Keiyoro, P, Kelbore, S, Kemp, A, Kengne, A, Keren, A, Kereselidze, M, Kesavachandran, C, Ketema, E, Khader, Y, Khalil, I, Khan, E, Khan, G, Khang, Y, Khera, S, Khoja, A, Khosravi, M, Kibret, G, Kieling, C, Kim, C, Kim, D, Kim, P, Kim, S, Kim, Y, Kimokoti, R, Kinfu, Y, Kishawi, S, Kissimova-Skarbek, K, Kissoon, N, Kivimaki, M, Knudsen, A, Kokubo, Y, Kopec, J, Kosen, S, Koul, P, Koyanagi, A, Kravchenko, M, Krohn, K, Kuate Defo, B, Kucuk Bicer, B, Kuipers, E, Kulikoff, X, Kulkarni, V, Kumar, G, Kumar, P, Kumsa, F, Kutz, M, Lachat, C, Lagat, A, Lager, A, Lal, D, Lalloo, R, Lambert, N, Lan, Q, Van Lansingh, C, Larson, H, Larsson, A, Laryea, D, Lavados, P, Laxmaiah, A, Lee, P, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liao, Y, Liben, M, Lim, S, Linn, S, Lipshultz, S, Liu, S, Lodha, R, Logroscino, G, Lorch, S, Lorkowski, S, Lotufo, P, Lozano, R, Lunevicius, R, Lyons, R, Ma, S, Macarayan, E, Machado, I, Mackay, M, Magdy Abd El Razek, M, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, D, Mantovani, L, Manyazewal, T, Mapoma, C, Marczak, L, Marks, G, Martinez-Raga, J, Martins-Melo, F, Massano, J, Maulik, P, Mayosi, B, Mazidi, M, Mcalinden, C, Mcgarvey, S, Mcgrath, J, Mckee, M, Mehata, S, Mehndiratta, M, Mehta, K, Meier, T, Mekonnen, T, Meles, K, Memiah, P, Memish, Z, Mendoza, W, Mengesha, M, Mengistie, M, Mengistu, D, Menon, G, Menota, B, Mensah, G, Meretoja, A, Meretoja, T, Mezgebe, H, Micha, R, Mikesell, J, Miller, T, Mills, E, Minnig, S, Mirarefin, M, Mirrakhimov, E, Misganaw, A, Mishra, S, Mohammad, K, Mohammadi, A, Mohammed, K, Mohammed, S, Mohan, M, Mohanty, S, Mokdad, A, Molla Assaye, A, Mollenkopf, S, Molokhia, M, Monasta, L, Montañez Hernandez, J, Montico, M, Mooney, M, Moore, A, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreno Velasquez, I, Mori, R, Morrison, S, Mruts, K, Mueller, U, Mullany, E, Muller, K, Murthy, G, Murthy, S, Musa, K, Nachega, J, Nagata, C, Nagel, G, Naghavi, M, Naidoo, K, Nanda, L, Nangia, V, Nascimento, B, Natarajan, G, Negoi, I, Nguyen, C, Nguyen, G, Nguyen, Q, Nguyen, T, Ningrum, D, Nisar, M, Nomura, M, Nong, V, Norheim, O, Norrving, B, Noubiap, J, Nyakarahuka, L, Obermeyer, C, O'Donnell, M, Ogbo, F, Oh, I, Okoro, A, Oladimeji, O, Olagunju, A, Olusanya, B, Olusanya, J, Oren, E, Ortiz, A, Osgood-Zimmerman, A, Ota, E, Owolabi, M, Oyekale, A, Mahesh, P, Pacella, R, Pakhale, S, Pana, A, Panda, B, Panda-Jonas, S, Park, E, Parsaeian, M, Patel, T, Patten, S, Patton, G, Paudel, D, Pereira, D, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, C, Petri, W, Petzold, M, Phillips, M, Piel, F, Pigott, D, Pishgar, F, Plass, D, Polinder, S, Popova, S, Postma, M, Poulton, R, Pourmalek, F, Prasad, N, Purwar, M, Qorbani, M, Rabiee, R, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, S, Rai, R, Rajsic, S, Ram, U, Rana, S, Ranabhat, C, Rao, P, Rawaf, S, Ray, S, Rego, M, Rehm, J, Reiner, R, Remuzzi, G, Renzaho, A, Resnikoff, S, Rezaei, S, Rezai, M, Ribeiro, A, Rokni, M, Ronfani, L, Roshandel, G, Roth, G, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, G, Saadat, S, Sabde, Y, Sachdev, P, Sadat, N, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Sahathevan, R, Sahebkar, A, Sahraian, M, Salama, J, Salamati, P, Salomon, J, Salvi, S, Samy, A, Sanabria, J, Sanchez-Niño, M, Santos, I, Santric Milicevic, M, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, M, Schmidt, M, Schneider, I, Schutte, A, Schwebel, D, Schwendicke, F, Seedat, S, Seid, A, Sepanlou, S, Servan-Mori, E, Shackelford, K, Shaheen, A, Shahraz, S, Shaikh, M, Shamsipour, M, Shamsizadeh, M, Islam, S, Sharma, J, Sharma, R, She, J, Shen, J, Shetty, B, Shi, P, Shibuya, K, Shigematsu, M, Shiri, R, Shiue, I, Shrime, M, Sigfusdottir, I, Silberberg, D, Silpakit, N, Silva, D, Silva, J, Silveira, D, Sindi, S, Singh, A, Singh, J, Singh, P, Singh, V, Sinha, D, Skiadaresi, E, Sligar, A, Smith, D, Sobaih, B, Sobngwi, E, Soneji, S, Soriano, J, Sreeramareddy, C, Srinivasan, V, Stathopoulou, V, Steel, N, Stein, D, Steiner, C, Stöckl, H, Stokes, M, Strong, M, Sufiyan, M, Suliankatchi, R, Sunguya, B, Sur, P, Swaminathan, S, Sykes, B, Szoeke, C, Tabarés-Seisdedos, R, Tadakamadla, S, Tadese, F, Tandon, N, Tanne, D, Tarajia, M, Tavakkoli, M, Taveira, N, Tehrani-Banihashemi, A, Tekelab, T, Tekle, D, Temam Shifa, G, Temsah, M, Terkawi, A, Tesema, C, Tesssema, B, Theis, A, Thomas, N, Thompson, A, Thomson, A, Thrift, A, Tiruye, T, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Topouzis, F, Tortajada, M, Tran, B, Truelsen, T, Trujillo, U, Tsilimparis, N, Tuem, K, Tuzcu, E, Tyrovolas, S, Ukwaja, K, Undurraga, E, Uthman, O, Uzochukwu, B, Van Boven, J, Varakin, Y, Varughese, S, Vasankari, T, Vasconcelos, A, Venketasubramanian, N, Vidavalur, R, Violante, F, Vishnu, A, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Waid, J, Wakayo, T, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Werdecker, A, Wesana, J, Wijeratne, T, Wilkinson, J, Wiysonge, C, Woldeyes, B, Wolfe, C, Workicho, A, Workie, S, Xavier, D, Xu, G, Yaghoubi, M, Yakob, B, Yalew, A, Yan, L, Yano, Y, Yaseri, M, Ye, P, Yimam, H, Yip, P, Yirsaw, B, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Zaidi, Z, El Sayed Zaki, M, Zeeb, H, Zenebe, Z, Zerfu, T, Zhang, A, Zhang, X, Zodpey, S, Zuhlke, L, Lopez, A, Murray, C, Erasmus MC other, Emergency Medicine, Rehabilitation Medicine, Gastroenterology & Hepatology, Public Health, and Neurology
Subjects: Dánarmein, Heilsufar, Dánartíðni, Lífslíkur, Epidemiology, Aldurshópar, ALCOHOL, Börn, Medicine and Health Sciences, Psychology, DEVELOPING-COUNTRIES, Children, Konur, Ungbörn, Tölfræði, Educational status, Aldraðir, Medicine (all), Global burden of disease/statistics and numerical data, DEATH, Men, Þjóðir, Staðtölur, Stillbirth, Sálfræði, World health, SURVIVAL, Income, CHILD-MORTALITY, HEALTH, Burðarmálsdauði, Infants, Age distribution, HIV infections, Child mortality, Alnæmi, Menntun, GBD, Fæðingartíðni, RUSSIAN MORTALITY, Birth rate, Life Expectancy, SDG 3 - Good Health and Well-being, Women, Mortality, METAANALYSIS, Faraldsfræði, HIV, Frjósemi, Fertility, Socioeconomic Factors, Karlar, Barnadauði, Félagshagfræði, Tekjur, Older people, Cause of death/trends, RA
Abstract: Correction in: Group Author(s): GBD 2016 Mortality Collaborators LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0.5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Findings Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates-a measure of relative inequality-increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86.9 years (95% UI 86.7-87.2), and for men in Singapore, at 81.3 years (78.8-83.7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and the gap between male and female life expectancy increased with progression to higher levels of SDI. Some countries with exceptional health performance in 1990 in terms of the difference in observed to expected life expectancy at birth had slower progress on the same measure in 2016. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled., Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
Published: 2017

5. Variations and particularities in cardiovascular disease mortality in Brazil and Brazilian states in 1990 and 2015 : estimates from the Global Burden of Disease

Author: Brant, Luisa Campos Caldeira, Nascimento, Bruno Ramos, Passos, Valéria Maria de Azeredo, Duncan, Bruce Bartholow, Benseñor, Isabela Judith Martins, Malta, Deborah Carvalho, Souza, Maria de Fatima Marinho de, Ishitani, Lenice Harumi, França, Elisabeth Barboza, Oliveira, Mateus S., Mooney, Meghan D., Naghavi, Mohsen, Roth, Gregory A., and Ribeiro, Antônio Luiz Pinho
Subjects: Doenças cardiovasculares, Cardiovascular diseases, Health impact assessment, Mortality, Trends, Brazil
Abstract: Objetivo: Analisar as variações e os diferenciais da mortalidade por doenças cardiovasculares (DCV) no Brasil e em seus estados, em 1990 e 2015. Métodos: Foram utilizados os dados de mortalidade compilados pelo Global Burden of Disease (GBD) 2015, obtidos da base de dados do Sistema de Informação sobre Mortalidade do Ministério da Saúde. Foram realizadas a correção do sub-registro de óbitos e a reclassificação dos códigos garbage por meio de algoritmos específicos. As causas cardiovasculares foram subdivididas em 10 causas específicas. As taxas de mortalidade — dos anos 1990 e 2015 — foram padronizadas pela idade, de acordo com o sexo e o estado brasileiro. Resultados: A taxa de mortalidade por DCV padronizada por idade caiu de 429,5 (1990) para 256,0 (2015) a cada 100 mil habitantes (40,4%). A redução proporcional foi semelhante em ambos os sexos, mas as taxas em homens são substancialmente mais altas do que nas mulheres. A redução da taxa padronizada por idade foi mais acentuada para a doença cardíaca reumática (44,5%), cardiopatia isquêmica (43,9%) e doença cerebrovascular (46,0%). A queda na mortalidade diferiu marcadamente entre os estados, sendo mais acentuada nos estados das regiões Sudeste e Sul do país e no Distrito Federal, e atenuada nos estados do Norte e Nordeste. Conclusão: A mortalidade por DCV padronizada por idade reduziu no Brasil nas últimas décadas, porém de forma heterogênea entre os estados e para diferentes causas específicas. Considerando a magnitude da carga de doença e o envelhecimento da população brasileira, as políticas de enfrentamento das DCV devem ser priorizadas. Objective: To analyze variations and particularities in mortality due to cardiovascular disease (CVD) in Brazil and in Brazilian states, in 1990 and 2015. Methods: We used data compiled from the Global Burden of Disease (GBD) 2015, obtained from the database of the Mortality Information System (SIM) of the Brazilian Ministry of Health. Correction of the sub-registry of deaths and reclassification of the garbage codes were performed using specific algorithms. The cardiovascular causes were subdivided into 10 specific causes. Age-standardized CVD mortality rates — in 1990 and 2015 — were analyzed according to sex and Brazilian state. Results: Age-standardized CVD mortality rate decreased from 429.5 (1990) to 256.0 (2015) per 100,000 inhabitants (40.4%). The proportional decrease was similar in both sexes, but death rates in males were substantially higher. The reduction of age-standardized mortality rate was more significant for rheumatic heart disease (44.5%), ischemic cardiopathy (43.9%), and cerebrovascular disease (46.0%). The decline in mortality was markedly different across states, being more pronounced in those of the southeastern and southern regions and the Federal District, and more modest in most states in the north and northeast regions. Conclusion: Agestandardized CVD mortality has declined in Brazil in recent decades, but in a heterogeneous way across states and for different specific causes. Considering the burden magnitude and the Brazilian population aging, policies to prevent and manage CVD should continue to be prioritized.
Published: 2017

6. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015 : a systematic analysis for the Global Burden of Disease Study 2015

Author: Kassebaum, Nicholas J., Arora, Megha, Barber, Ryan M., Bhutta, Zulfigar A., Carter, Austin, Casey, Daniel C., Charlson, Fiona J., Coates, Matthew M., Coggeshall, Megan, Cornaby, Leslie, Dandona, Lalit, Dicker, Daniel J., Erskine, Holly E., Ferrari, Alize J., Fitzmaurice, Christina, Foreman, Kyle, Forouzanfar, Mohammad H., Fullman, Nancy, Gething, Peter W., Goldberg, Ellen M., Graetz, Nicholas, Haagsma, Juanita A., Johnson, Catherine, Kemmer, Laura, Khalil, Ibrahim A., Kinfu, Yohannes, Kutz, Michael J., Kyu, Hmwe H., Leung, Janni, Liang, Xiaofeng, Lim, Stephen S., Lozano, Rafael, Mensah, George A., Mikesell, Joe, Mokdad, Ali H., Mooney, Meghan D., Naghavi, Mohsen, Nguyen, Grant, Nsoesie, Elaine, Pigott, David M., Pinho, Christine, Rankin, Zane, Reinig, Nikolas, Salomon, Joshua A., Sandar, Logan, Lallukka, Tea, Meretoja, Atte, Meretoja, Tuomo J., Weiderpass, Elisabete, GBD 2015 DALY & HALE, Clinicum, Department of Public Health, Department of Neurosciences, Neurologian yksikkö, University of Helsinki, Department of Oncology, Department of Medical and Clinical Genetics, and Center for Population, Health and Society
Subjects: MORTALITY, SUSTAINABLE DEVELOPMENT GOALS, 3122 Cancers, 3112 Neurosciences, UNITED-STATES, 187 COUNTRIES, TRENDS, RECOMMENDATIONS, 3142 Public health care science, environmental and occupational health, 3124 Neurology and psychiatry, PREVALENCE, MORBIDITY, BACK-PAIN, 3121 General medicine, internal medicine and other clinical medicine, COMPRESSION
Abstract: Background Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development. Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) 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 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specific death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE differed from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate. Findings Total global DALYs remained largely unchanged from 1990 to 2015, with decreases in communicable, neonatal, maternal, and nutritional (Group 1) disease DALYs off set by increased DALYs due to non-communicable diseases (NCDs). Much of this epidemiological transition was caused by changes in population growth and ageing, but it was accelerated by widespread improvements in SDI that also correlated strongly with the increasing importance of NCDs. Both total DALYs and age-standardised DALY rates due to most Group 1 causes significantly decreased by 2015, and although total burden climbed for the majority of NCDs, age-standardised DALY rates due to NCDs declined. Nonetheless, age-standardised DALY rates due to several high-burden NCDs (including osteoarthritis, drug use disorders, depression, diabetes, congenital birth defects, and skin, oral, and sense organ diseases) either increased or remained unchanged, leading to increases in their relative ranking in many geographies. From 2005 to 2015, HALE at birth increased by an average of 2.9 years (95% uncertainty interval 2.9-3.0) for men and 3.5 years (3.4-3.7) for women, while HALE at age 65 years improved by 0.85 years (0.78-0.92) and 1.2 years (1.1-1.3), respectively. Rising SDI was associated with consistently higher HALE and a somewhat smaller proportion of life spent with functional health loss; however, rising SDI was related to increases in total disability. Many countries and territories in central America and eastern sub-Saharan Africa had increasingly lower rates of disease burden than expected given their SDI. At the same time, a subset of geographies recorded a growing gap between observed and expected levels of DALYs, a trend driven mainly by rising burden due to war, interpersonal violence, and various NCDs. Interpretation Health is improving globally, but this means more populations are spending more time with functional health loss, an absolute expansion of morbidity. The proportion of life spent in ill health decreases somewhat with increasing SDI, a relative compression of morbidity, which supports continued efforts to elevate personal income, improve education, and limit fertility. Our analysis of DALYs and HALE and their relationship to SDI represents a robust framework on which to benchmark geography-specific health performance and SDG progress. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform financial and research investments, prevention efforts, health policies, and health system improvement initiatives for all countries along the development continuum. Copyright (C) The Author(s). Published by Elsevier Ltd.
Published: 2016

7. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015:a systematic analysis for the Global Burden of Disease Study 2015

Author: Kassebaum, Nicholas J., Arora, Megha, Barber, Ryan M., Bhutta, Zulfigar A., Carter, Austin, Casey, Daniel C., Charlson, Fiona J., Coates, Matthew M., Coggeshall, Megan, Cornaby, Leslie, Dandona, Lalit, Dicker, Daniel J., Erskine, Holly E., Ferrari, Alize J., Fitzmaurice, Christina, Foreman, Kyle, Forouzanfar, Mohammad H., Fullman, Nancy, Gething, Peter W., Goldberg, Ellen M., Graetz, Nicholas, Haagsma, Juanita A., Johnson, Catherine, Kemmer, Laura, Khalil, Ibrahim A., Kinfu, Yohannes, Kutz, Michael J., Kyu, Hmwe H., Leung, Janni, Liang, Xiaofeng, Lim, Stephen S., Lozano, Rafael, Mensah, George A., Mikesell, Joe, Mokdad, Ali H., Mooney, Meghan D., Naghavi, Mohsen, Nguyen, Grant, Nsoesie, Elaine, Pigott, David M., Pinho, Christine, Rankin, Zane, Reinig, Nikolas, Salomon, Joshua A., Sandar, Logan, Amare, Azmeraw T., Hoek, Hans W., Singh, Abhishek, and Tura, Abera Kenay
Subjects: MORBIDITY, BACK-PAIN, MORTALITY, SUSTAINABLE DEVELOPMENT GOALS, UNITED-STATES, COMPRESSION, 187 COUNTRIES, TRENDS, RECOMMENDATIONS, PREVALENCE
Abstract: Background Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development. Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) 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 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specific death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE differed from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate. Findings Total global DALYs remained largely unchanged from 1990 to 2015, with decreases in communicable, neonatal, maternal, and nutritional (Group 1) disease DALYs off set by increased DALYs due to non-communicable diseases (NCDs). Much of this epidemiological transition was caused by changes in population growth and ageing, but it was accelerated by widespread improvements in SDI that also correlated strongly with the increasing importance of NCDs. Both total DALYs and age-standardised DALY rates due to most Group 1 causes significantly decreased by 2015, and although total burden climbed for the majority of NCDs, age-standardised DALY rates due to NCDs declined. Nonetheless, age-standardised DALY rates due to several high-burden NCDs (including osteoarthritis, drug use disorders, depression, diabetes, congenital birth defects, and skin, oral, and sense organ diseases) either increased or remained unchanged, leading to increases in their relative ranking in many geographies. From 2005 to 2015, HALE at birth increased by an average of 2.9 years (95% uncertainty interval 2.9-3.0) for men and 3.5 years (3.4-3.7) for women, while HALE at age 65 years improved by 0.85 years (0.78-0.92) and 1.2 years (1.1-1.3), respectively. Rising SDI was associated with consistently higher HALE and a somewhat smaller proportion of life spent with functional health loss; however, rising SDI was related to increases in total disability. Many countries and territories in central America and eastern sub-Saharan Africa had increasingly lower rates of disease burden than expected given their SDI. At the same time, a subset of geographies recorded a growing gap between observed and expected levels of DALYs, a trend driven mainly by rising burden due to war, interpersonal violence, and various NCDs. Interpretation Health is improving globally, but this means more populations are spending more time with functional health loss, an absolute expansion of morbidity. The proportion of life spent in ill health decreases somewhat with increasing SDI, a relative compression of morbidity, which supports continued efforts to elevate personal income, improve education, and limit fertility. Our analysis of DALYs and HALE and their relationship to SDI represents a robust framework on which to benchmark geography-specific health performance and SDG progress. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform financial and research investments, prevention efforts, health policies, and health system improvement initiatives for all countries along the development continuum. Copyright (C) The Author(s). Published by Elsevier Ltd.
Published: 2016

8. Measuring the health-related Sustainable Development Goals in 188 countries : a baseline analysis from the Global Burden of Disease Study 2015

Author: Lim, Stephen S., Allen, Kate, Bhutta, Zulficiar A., Dandona, Lalit, Forouzanfar, Mohammad H., Fullman, Nancy, Gething, Peter W., Goldberg, Ellen M., Hay, Simon I., Holmberg, Mollie, Kinfu, Yohannes, Kutz, Michael J., Larson, Heidi J., Liang, Xiaofeng, Lopez, Alan D., Lozano, Rafael, McNellan, Claire R., Mokdad, Ali H., Mooney, Meghan D., Naghavi, Mohsen, Olsen, Helen E., Pigott, David M., Salomon, Joshua A., Vos, Theo, Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abdulle, Abdishakur M., Abraham, Biju, Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M. E., Abyu, Gebre Yitayih, Achoki, Tom, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Afanvi, Kossivi Agbelenko, Afshin, Ashkan, Agarwal, Arnav, Agrawal, Anurag, Kiadaliri, Aliasghar Ahmad, Ahmadieh, Hamid, Ahmed, Kedir Yimam, Akanda, Ali Shafqat, Meretoja, Atte, Meretoja, Tuomo J., Weiderpass, Elisabete, GBD 2015 SDG Collaborators, Department of Surgery, and Department of Medical and Clinical Genetics
Subjects: MORTALITY, OFFLINE, SYSTEMATIC ANALYSIS, MANAGEMENT, SDG, MENTAL-HEALTH, PROGRESS, MALARIA CONTROL, 3142 Public health care science, environmental and occupational health
Abstract: Background In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). Methods We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. Findings In 2015, the median health-related SDG index was 59.3 (95% uncertainty interval 56.8-61.8) and varied widely by country, ranging from 85.5 (84.2-86.5) in Iceland to 20.4 (15.4-24.9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r(2) = 0.88) and the MDG index (r(2) = 0.2), whereas the non-MDG index had a weaker relation with SDI (r(2) = 0.79). Between 2000 and 2015, the health-related SDG index improved by a median of 7.9 (IQR 5.0-10.4), and gains on the MDG index (a median change of 10.0 [6.7-13.1]) exceeded that of the non-MDG index (a median change of 5.5 [2.1-8.9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. Interpretation GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs.
Published: 2016

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

Author: Wang, Haidong, Naghavi, Mohsen, Allen, Christine, Barber, Ryan M., Bhutta, Zulfiqar A., Carter, Austin, Casey, Daniel C., Charlson, Fiona J., Chen, Alan Zian, Coates, Matthew M., Coggeshall, Megan, Dandona, Lalit, Dicker, Daniel J., Erskine, Holly E., Ferrari, Alize J., Fitzmaurice, Christina, Foreman, Kyle, Forouzanfar, Mohammad H., Fraser, Maya S., Fullman, Nancy, Gething, Peter W., Goldberg, Ellen M., Graetz, Nicholas, Haagsma, Juanita A., Hay, Simon I., Huynh, Chantal, Johnson, Catherine O., Kassebaum, Nicholas J., Kinfu, Yohannes, Kulikoff, Xie Rachel, Kutz, Michael, Kyu, Hmwe H., Larson, Heidi J., Leung, Janni, Liang, Xiaofeng, Lim, Stephen S., Lind, Margaret, Lozano, Rafael, Marquez, Neal, Mensah, George A., Mikesell, Joe, Mokdad, Ali H., Mooney, Meghan D., Nguyen, Grant, Nsoesie, Elaine, Pigott, David M., Pinho, Christine, Roth, Gregory A., Salomon, Joshua A., Sandar, Logan, Silpakit, Naris, Sligar, Amber, Sorensen, Reed J. D., Stanaway, Jeffrey, Steiner, Caitlyn, Teeple, Stephanie, Thomas, Bernadette A., Troeger, Christopher, VanderZanden, Amelia, Vollset, Stein Emil, Wanga, Valentine, Whiteford, Harvey A., Wolock, Timothy, Zoeckler, Leo, Szoeke, Cassandra E. I., and GBD 2015 Mortality and Causes of Death Collaborators
Subjects: life expectancy, mortality
Abstract: Background: Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods: We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings: Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation: At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding: Bill & Melinda Gates Foundation.
Published: 2016

10. 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, Arnlov, Johan, Afshin, Ashkan, Agrawal, Anurag, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Aiyar, Sneha, Al-Eyadhy, Ayman, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M., Alkerwi, Ala'a, Alla, Francois, 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, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W., Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Paulina, Beatriz, Quintanilla, Ayala, Bejot, Yannick, 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, Bekele, Bayu Begashaw, Bell, Michelle L., Bennett, James R., Bensenor, Isabela M., Berhane, Adugnaw, Bernabe, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert R. A., Breitborde, Nicholas J. K., Negesa, Lemma, Bulto, Bulto, Bumgarner, Blair R., Butt, Zahid A., Cardenas, Rosario, Cahuana-Hurtado, Lucero, Cameron, Ewan, Cesar Campuzano, Julio, Car, Josip, Jesus Carrero, Juan, Carter, Austin, Casey, Daniel C., Castaneda-Orjuela, Carlos A., Catala-Lopez, Ferran, 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, Jose, Davitoiu, Dragos V., Davletov, Kairat, de Courten, Barbora, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, Deribew, Amare, Dey, Subhojit, Dicker, Daniel, Ding, Eric L., Djalalinia, Shirin, Huyen Phuc Do, Huyen Phuc Do, 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, Erskine, Holly E., Eskandarieh, Sharareh, Esteghamati, Alireza, Ermakov, Sergey P., Estep, Kara, E Sa Farinha, Carla Sofia, Faro, Andre, Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Joao 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, Furst, 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., Ginawi, Ibrahim Abdelmageem Mohamed, 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, Prakash C., Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, 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., Beatriz Heredia-Pi, Ileana, 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, Jurisson, Mikk, 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., Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Karch, Andre, 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, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kieling, Christian, Kievlan, Daniel, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Defo, Barthelemy Kuate, Kulikoff, Xie Rachel, Kumar, G. Anil, Kumar, Pushpendra, Kutz, Michael, Kyu, Hmwe H., Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larsson, Anders, Lee, Paul H., Leigh, James, Leung, Janni, Levi, Miriam, Li, Yongmei, Kappe, Darya Li, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S., Liu, Angela, Liu, Patrick Y., 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., Abd el Razek, Mohammed Magdy, 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 Rogerlandio, 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, Atte, Meretoja, Tuomo J., Millear, Anoushka, Miller, Ted R., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mokdad, Ali H., Mola, Glen Liddell D., Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montanez Hernandez, Julio C., Montico, Marcella, Mooney, Meghan D., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morrison, Shane D., Morozoff, Chloe, 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, Cuong Tat Nguyen, Cuong Tat Nguyen, Grant Nguyen, Grant Nguyen, Minh Nguyen, Minh Nguyen, Quyen Le Nguyen, Quyen Le Nguyen, Trang Huyen Nguyen, Trang Huyen Nguyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Vuong Minh Nong, Vuong Minh Nong, 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, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rai, Rajesh Kumar, Ranabhat, Chhabi Lal, Rankin, Zane, Rao, Puja C., Rath, Goura Kishor, Rawaf, Salman, Ray, Sarah E., Rehm, Jurgen, 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, Saadat, Rizwan S. A. 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, Dolores Sanchez-Nino, Maria, Santomauro, Damian, Santos, Itamar S., Milicevic, Milena M. Santric, Sartorius, Benn, Satpathy, Maheswar, Shahraz, Saeid, Schmidt, Maria Ines, 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, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Islam, Sheikh Mohammed Shariful, 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, Joao Pedro, Singh, Abhishek, Singh, Jasvinder A., Skiadaresi, Eirini, Sligar, Amber, Smith, Alison, Smith, David L., 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., Tabares-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, Bach Xuan Tran, Bach Xuan Tran, 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., Murray, Christopher J. L., 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, Fare, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addi, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, Françoi, 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, Lar, 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, Bori, 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 Jesu, 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 Jesuda, Ciobanu, Liliana G, Cirillo, Massimo, Cohen, Aaron J, Colombara, Danny, Cooper, Cyru, 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, 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, Thoma, 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, 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, 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, Rasmu, 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, Yohanne, 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, Ander, Lee, Paul H, Leigh, Jame, 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, Lopez, Alan D, 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, Murray, Christopher J L, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Nachega, Jean B, Naghavi, Mohsen, Naheed, Aliya, Naldi, Luigi, Nangia, Vinay, Nascimento, Bruno Ramo, 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, 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, Nafi, 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 Dolore, Santomauro, Damian, Santos, Itamar S, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Schmidt, Maria Inê, 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, Shields, Chloe, Shigematsu, Mika, Shiri, Rahman, Shirude, Shreya, Shiue, Ivy, Shoman, Haitham, Shrime, Mark G, Sigfusdottir, Inga Dora, Silpakit, Nari, 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, Nichola, 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, Thoma, Tsoi, Derrick, Tyrovolas, Stefano, 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, Deni, 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, Giref, Ababi Zergaw, Rafay, Anwar, Tuzcu, Emin Murat, Ermakov, Sergey Petrovich, Shi, Peilin, Gupta, Parkash C, Erasmus MC other, Public Health, Neurosciences, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Mohsen, Naghavi, Amanuel, Alemu, Abajobir, Cristiana, Abbafati, Kaja, M, Abbas, Foad, Abd Allah, Semaw, Ferede, Abera, Victor, Aboyan, Olatunji, Adetokunboh, Johan, Ärnlöv, Ashkan, Afshin, Anurag, Agrawal, Aliasghar, Ahmad, Kiadaliri, Alireza, Ahmadi, Muktar, Beshir, Ahmed, Amani, Nidhal, Aichour, Ibtihel, Aichour, Miloud, Taki, Eddine, Aichour, Sneha, Aiyar, Ayman, Al Eyadhy, Fares, Alahdab, Ziyad, Al Aly, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Kefyalew, Addi, Alene, Syed, Danish, Ali, Reza, Alizadeh Navaei, Juma, M, Alkaabi, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Rajaa, Al Raddadi, Ubai, Alsharif, Khalid, A, Altirkawi, Nelson, Alvis Guzman, Azmeraw, T, Amare, Erfan, Amini, Walid, Ammar, Yaw, Ampem, Amoako, Nahla, Anber, Hjalte, H, Andersen, Catalina, Liliana, Andrei, Sofia, Androudi, Hossein, Ansari, Carl, Abelardo, T, Antonio, Palwasha, Anwari, Megha, Arora, Al, Artaman, Krishna, Kumar, Aryal, Hamid, Asayesh, Solomon, W, Asgedom, Tesfay, Mehari, Atey, Leticia, Avila Burgo, Euripide, Frinel, G, Arthur, Avokpaho, Ashish, Awasthi, Beatriz, Paulina, Ayala, Quintanilla, Yannick, Béjot, Tesleem, Kayode, Babalola, Umar, Bacha, Kalpana, Balakrishnan, Aleksandra, Barac, Miguel, A, Barboza, Suzanne, L, Barker, Collo, Simon, Barquera, Lars, Barregard, Lope, H, Barrero, Bernhard, T, Baune, Neeraj, Bedi, Ettore, Beghi, Bayu, Begashaw, Bekele, Michelle, L, Bell, James, R, Bennett, Isabela, M, Bensenor, Adugnaw, Berhane, Eduardo, Bernabé, Balem, Demtsu, Betsu, Mircea, Beuran, Samir, Bhatt, Sibhatu, Biadgilign, Kelly, Bienhoff, Boris, Bikbov, Donal, Bisanzio, Rupert, R, A, Bourne, Nicholas, J, K, Breitborde, Lemma, Negesa, Bulto, Bulto, Blair, R, Bumgarner, Zahid, A, Butt, Rosario, Cárdena, Lucero, Cahuana Hurtado, Ewan, Cameron, Julio, Cesar, Campuzano, Josip, Car, Juan, Jesu, Carrero, Austin, Carter, Daniel, C, Casey, Carlo, A, Castañeda, Orjuela, Ferrán, Catalá López, Fiona, J, Charlson, Chioma, Ezinne, Chibueze, Odgerel, Chimed Ochir, Vesper, Hichilombwe, Chisumpa, Abdulaal, A, Chitheer, Devasahayam, Jesuda, Christopher, Liliana, G, Ciobanu, Aaron, J, and Cohen
Subjects: Dánarmein, Male, Heilsufar, Dánartíðni, Newborn infants, Lífslíkur, Life expectancy, Communicable diseases, Global Health, Global Burden of Disease, Disasters, Pregnancy, Cause of Death, Psychology, Child, Konur, Aged, 80 and over, Ungbörn, CLIMATE-CHANGE, PLASMODIUM-FALCIPARUM, Kransæðasjúkdómar, Global burden of disease/statistics and numerical data, Medicine (all), Men, Þjóðir, Öndunarfærasjúkdómar, 11 Medical And Health Sciences, Middle Aged, Nutrition Disorders, PREVALENCE, Coronary heart disease, Smitsjúkdómar, Death, Suicide, Cardiovascular diseases, Sálfræði, World health, Child, Preschool, Nýburar, Female, GBD, mortality, Infants, Life Sciences & Biomedicine, Age distribution, Global Health Metrics, Adult, Diarrhea, AFRICA, HUMAN HEALTH, Adolescent, GBD, UNITED-STATES, Socioeconomic factors, Communicable Diseases, Young Adult, Age Distribution, Heilbrigðisvísindi, Medicine, General & Internal, General & Internal Medicine, Humans, QUALITY, Women, Nutrition disorders, INCOME COUNTRIES, Mortality, Noncommunicable Diseases, Aged, Science & Technology, Infant, Newborn, Infant, Respiratory infections, Næringarskortur, ALCOHOL POLICY, mortality, Malaria, Pregnancy Complications, Socioeconomic Factors, Áverkar, Karlar, Wounds and Injuries, Félagshagfræði, Accidental Falls, Cause of death/trends, RESISTANCE
Abstract: Correction: Group Author(s): GBD 2016 Causes Death LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017 Group Author(s): GBD 2016 Dis Injury Incidence LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Monitoring 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. Methods We 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. Findings The 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. Interpretation The 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., Bill & Melinda Gates Foundation.
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11. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013

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K., Brenner, Hermann, Briggs, Adam D., Brooks, Peter M., Brown, Jonathan C., Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Budke, Christine M., Bulchis, Anne, Bulloch, Andrew G., Campos-Nonato, Ismael R., Carabin, Hélène, Carapetis, Jonathan R., Cárdenas, Rosario, Carpenter, David O., Caso, Valeria, Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chen, Honglei, Chen, Wanqing, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Cirillo, Massimo, Coates, Matthew M., Coffeng, Luc E., Coggeshall, Megan S., Colistro, Valentina, Colquhoun, Samantha M., Cooke, Graham S., Cooper, Cyru, Cooper, Leslie T., Coppola, Luis M., Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Dargan, Paul I., Davey, Gail, Davis, Adrian, Davitoiu, Dragos V., Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L., Dokova, Klara, Dorsey, E Ray, Driscoll, Tim R., Duan, Leilei, Duber, Herbert C., Ebel, Beth E., Edmond, Karen M., Elshrek, Yousef M., Endres, Matthia, Ermakov, Sergey P., Erskine, Holly E., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose A., Farzadfar, Farshad, Fay, Derek F., Feigin, Valery L., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferrari, Alize J., Fitzmaurice, Christina, Flaxman, Abraham D., Fleming, Thomas D., Foigt, Nataliya, Forouzanfar, Mohammad H., Fowkes, F Gerry R., Paleo, Urbano Fra., Franklin, Richard C., Fürst, Thoma, Gabbe, Belinda, Gaffikin, Lynne, Gankpé, Fortuné G., Geleijnse, Johanna M., Gessner, Bradford D., Gething, Peter, Gibney, Katherine B., Giroud, Maurice, Giussani, Giorgia, Dantes, Hector Gomez, Gona, Philimon, González-Medina, Diego, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Graetz, Nichola, Gugnani, Harish C., Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A., Haagsma, Juanita, Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara A., Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hancock, Jamie, Hankey, Graeme J., Hansen, Gillian M., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I., Hay, Roderick J., Heredia-Pi, Ileana B., Heuton, Kyle R., Heydarpour, Pouria, Higashi, Hideki, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hosgood, H Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J., Husseini, Abdullatif, Huynh, Chantal, Iannarone, Marissa L., Iburg, Kim M., Innos, Kaire, Inoue, Manami, Islami, Farhad, Jacobsen, Kathryn H., Jarvis, Deborah L., Jassal, Simerjot K., Jee, Sun Ha, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Juel, Knud, Kan, Haidong, Karch, André, Karema, Corine K., Karimkhani, Chante, Karthikeyan, Ganesan, Kassebaum, Nicholas J., Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kemp, Andrew H., Kengne, Andre P., Keren, Andre, Khader, Yousef S., Khalifa, Shams Eldin A., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kinfu, Yohanne, Kinge, Jonas M., Kivipelto, Miia, Knibbs, Luke D., Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G Anil, Kyu, Hmwe H., Lai, Taavi, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larsson, Ander, Lawrynowicz, Alicia E. B., Leasher, Janet L., Leigh, Jame, Leung, Ricky, Levitz, Carly E., Li, Bin, Li, Yichong, Li, Yongmei, Lim, Stephen S., Lind, Maggie, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., Lofgren, Katherine T., Logroscino, Giancarlo, Looker, Katharine J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Lozano, Rafael, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macintyre, Michael F., Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Marcenes, Wagner, Margolis, David J., Margono, Christopher, Marzan, Melvin B., Masci, Joseph R., Mashal, Mohammad T., Matzopoulos, Richard, Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abigail, Meaney, Peter A., Medina, Catalina, Mehndiratta, Man Mohan, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George A., Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L. D., Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Montine, Thomas J., Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moran, Andrew E., Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline L., Mozaffarian, Dariush, Msemburi, William T., Mueller, Ulrich O., Mukaigawara, Mitsuru, Mullany, Erin C., Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K M. Venkat, Nejjari, Chakib, Neupane, Sudan P., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nguyen, Grant, Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Ohno, Summer L., Olusanya, Bolajoko O., Opio, John Nelson, Ortblad, Katrina, Ortiz, Alberto, Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Patten, Scott B., Patton, George C., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, Bryan K., Phillips, David E., Piel, Frédéric B., Plass, Dietrich, Poenaru, Dan, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Pullan, Rachel L., Qato, Dima M., Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahman, Sajjad U., Raju, Murugesan, Rana, Saleem M., Razavi, Homie, Reddy, K Srinath, Refaat, Amany, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Richardson, Lee, Richardus, Jan Hendrik, Roberts, D Allen, Rojas-Rueda, David, Ronfani, Luca, Roth, Gregory A., Rothenbacher, Dietrich, Rothstein, David H., Rowley, Jane T., Roy, Nobhojit, Ruhago, George M., Saeedi, Mohammad Y., Saha, Sukanta, Sahraian, Mohammad Ali, Sampson, Uchechukwu K. A., Sanabria, Juan R., Sandar, Logan, Santos, Itamar S., Satpathy, Maheswar, Sawhney, Monika, Scarborough, Peter, Schneider, Ione J., Schöttker, Ben, Schumacher, Austin E., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serina, Peter T., Servan-Mori, Edson E., Shackelford, Katya A., Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Slepak, Erica Leigh, Sliwa, Karen, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Stein, Dan J., Stein, Murray B., Steiner, Caitlyn, Steiner, Timothy J., Stevens, Antony, Stewart, Andrea, Stovner, Lars J., Stroumpoulis, Konstantino, Sunguya, Bruno F., Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Tediosi, Fabrizio, Temesgen, Awoke M., Templin, Tara, Ten Have, Margreet, Tenkorang, Eric Y., Terkawi, Abdullah S., Thomson, Blake, Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Tillmann, Taavi, Tonelli, Marcello, Topouzis, Foti, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trillini, Matia, Truelsen, Thoma, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Vasankari, Tommi J., Venketasubramanian, N, Violante, Francesco S., Vlassov, Vasiliy V., Vollset, Stein Emil, Wagner, Gregory R., Wagner, Joseph, Waller, Stephen G., Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Wenzhi, Wang, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wilkinson, James D., Williams, Thomas N., Wolfe, Charles D., Wolock, Timothy M., Woolf, Anthony D., Wulf, Sarah, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L., Yano, Yuichiro, Ye, Pengpeng, Yentür, Gökalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Maysaa E., Zhao, Yong, Zheng, Yingfeng, Zonies, David, Zou, Xiaonong, Salomon, Joshua A., Lopez, Alan D., Vos, Theo, Medische Sociologie, MUMC+: Hersen en Zenuw Centrum (3), MUMC+: MA Psychiatrie (3), Psychiatrie & Neuropsychologie, Barber, Ryan M, Foreman, Kyle J, Abd Allah, Foad, Abera, Semaw F, Abraham, Jerry P, Abu Raddad, Laith J, Abu Rmeileh, Niveen M, Ackerman, Ilana N, Adou, Arsène K, Adsuar, José C, Agardh, Emilie E, Albittar, Mohammed I, Alegretti, Miguel A, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Almazroa, Mohammad A, Alvis Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Anderson, Benjamin O, Antonio, Carl Abelardo T, Asghar, Rana J, Atkins, Lydia S, Avila, Marco A, Bachman, Victoria F, Bahit, Maria C, Barker Collo, Suzanne L, Barrero, Lope H, Basulaiman, Mohammed O, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Bertozzi Villa, Amelia, Beyene, Tariku J, Bhutta, Zulfiqar A, Blore, Jed D, Blosser, Christopher D, Blyth, Fiona M, Bohensky, Megan A, Bolliger, Ian W, Bornstein, Natan M, Bourne, Rupert R. A, Boyers, Lindsay N, Brayne, Carol E, Breitborde, Nicholas J. K, Briggs, Adam D, Brooks, Peter M, Brown, Jonathan C, Brugha, Traolach S, Buckle, Geoffrey C, Budke, Christine M, Bulloch, Andrew G, Campos Nonato, Ismael R, Carapetis, Jonathan R, Carpenter, David O, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chiang, Peggy P, Chimed Ochir, Odgerel, Christophi, Costas A, Coates, Matthew M, Coffeng, Luc E, Coggeshall, Megan S, Colquhoun, Samantha M, Cooke, Graham S, Cooper, Leslie T, Coppola, Luis M, Criqui, Michael H, Crump, John A, Cuevas Nasu, Lucia, Dargan, Paul I, Davitoiu, Dragos V, Del Pozo Cruz, Borja, Dellavalle, Robert P, Jarlais, Don C. De, Dharmaratne, Samath D, Dherani, Mukesh K, Diaz Torné, Cesar, Ding, Eric L, Dorsey, E. 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Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iannarone, Marissa L, Iburg, Kim M, Jacobsen, Kathryn H, Jarvis, Deborah L, Jassal, Simerjot K, Jensen, Paul N, Jonas, Jost B, Karema, Corine K, Kassebaum, Nicholas J, Kemp, Andrew H, Kengne, Andre P, Khader, Yousef S, Khalifa, Shams Eldin A, Khan, Ejaz A, Khang, Young Ho, Kinge, Jonas M, Knibbs, Luke D, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G. Anil, Kyu, Hmwe H, Lansingh, Van C, Lawrynowicz, Alicia E. B, Leasher, Janet L, Levitz, Carly E, Lim, Stephen S, Lipshultz, Steven E, Lloyd, Belinda K, Lofgren, Katherine T, Looker, Katharine J, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lucas, Robyn M, Lyons, Ronan A, Macintyre, Michael F, Mackay, Mark T, Margolis, David J, Marzan, Melvin B, Masci, Joseph R, Mashal, Mohammad T, Mayosi, Bongani M, Mazorodze, Tasara T, Mcgill, Neil W, Mcgrath, John J, Meaney, Peter A, Melaku, Yohannes A, Memish, Ziad A, Mensah, George A, Mhimbira, Francis A, Miller, Ted R, Mills, Edward J, Mitchell, Philip B, Mock, Charles N, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L. D, Montine, Thomas J, Mooney, Meghan D, Moore, Ami R, Moradi Lakeh, Maziar, Moran, Andrew E, Moturi, Wilkister N, Moyer, Madeline L, Msemburi, William T, Mueller, Ulrich O, Mullany, Erin C, Murdoch, Michele E, Murthy, Kinnari S, Naidoo, Kovin S, Narayan, K. M. Venkat, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, Nisar, Muhammad I, Norheim, Ole F, Norman, Rosana E, Oh, In Hwan, Ohno, Summer L, Olusanya, Bolajoko O, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Park, Eun Kee, Park, Jae Hyun, Patten, Scott B, Patton, George C, Paul, Vinod K, Pavlin, Boris I, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Peterson, Carrie B, Phillips, Michael R, Phillips, Bryan K, Phillips, David E, Piel, Frédéric B, Poulton, Richie G, Prasad, Noela M, Pullan, Rachel L, Qato, Dima M, Quistberg, D. Alex, Rahman, Sajjad U, Rana, Saleem M, Reddy, K. Srinath, Ribeiro, Antonio L, Roberts, D. Allen, Rojas Rueda, David, Roth, Gregory A, Rothstein, David H, Rowley, Jane T, Ruhago, George M, Saeedi, Mohammad Y, Sampson, Uchechukwu K. A, Sanabria, Juan R, Santos, Itamar S, Schneider, Ione J, Schumacher, Austin E, Schwebel, David C, Scott, James G, Sepanlou, Sadaf G, Serina, Peter T, Servan Mori, Edson E, Shackelford, Katya A, Shrime, Mark G, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Singh, Jasvinder A, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stein, Dan J, Stein, Murray B, Steiner, Timothy J, Stovner, Lars J, Sunguya, Bruno F, Sykes, Bryan L, Tabb, Karen M, Taylor, Hugh R, Ao, Braden J. Te, Temesgen, Awoke M, Tenkorang, Eric Y, Terkawi, Abdullah S, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tran, Bach X, Tuzcu, Emin M, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uzun, Selen B, Van Brakel, Wim H, van Gool, Coen H, Vasankari, Tommi J, Violante, Francesco S, Vlassov, Vasiliy V, Wagner, Gregory R, Waller, Stephen G, Warouw, Tati S, Weintraub, Robert G, Whiteford, Harvey A, Wilkinson, James D, Williams, Thomas N, Wolfe, Charles D, Wolock, Timothy M, Woolf, Anthony D, Yan, Lijing L, Yentür, Gökalp K, Yoon, Seok Jun, Younis, Mustafa Z, Zaki, Maysaa E, Salomon, Joshua A, Lopez, Alan D, Computational Science and Engineering Department [Daresbury] ( STFC ), Science & Technologie Facilities Council, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Weill Cornell Medical College - Qatar, Qatar Foundation - Education City, Doha, Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Karolinska Institute, karolinska institute, Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Wisconsin Division of Public Health, Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Computer Science Department [Bristol], University of Bristol [Bristol], Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, University of Southampton [Southampton], Imperial College London, Neurology Department, Ichilov Medical Center, Department of Public Health and Primary Care, Cambridge University, Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Université de Tours, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institute of Parasitology, STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), Tennent Institute of Ophthalmology, National University of Singapore ( NUS ), Multidisciplinary Nanotechnology Centre, Swansea University, Department of Computer Sciences [Scheffield], University of Sheffield [Sheffield], Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Glasgow Centre for Physical Organic Chemistry, University of Glasgow, King‘s College London, Université Panthéon-Sorbonne - UFR Science Politique ( UP1 UFR11 ), Université Panthéon-Sorbonne ( UP1 ), National Diagnostics Centre ( NDC ), National University of Ireland [Galway] ( NUI Galway ), Arthritis Research UK Epidemiology Unit ( MANCHESTER - Arthritis Research ), University of Manchester [Manchester], CEGOT - Porto, Universidade do Porto [Porto], Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Department of Biology [Miami], University of Miami [Coral Gables], Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] ( WUR ), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), University of Connecticut ( UCONN ), Norwegian Institute for Air Research ( NILU ), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Friedrich-Alexander Universität Erlangen-Nürnberg ( FAU ), Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Physics and Astronomy, Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Université Catholique de Louvain ( UCL ), Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Univ New Delhi, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Karolinska Institutet [Stockholm], Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center ( TRDDC ), TCS Innovation Labs, Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency ( FOI ), Centre de Recherche en Information Biomédicale sino-français ( CRIBS ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Southeast University [Jiangsu]-School of Computer Science and Engineering, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Business and Informatics, University of Boras, Department of Mechanical and Automation Engineering ( CAD Laboratory ), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), Department of plant pathology and microbiology - centre for sustainable pest and disease management, Rothamsted Research, RGU, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale ( IDSIA ), Università della Svizzera italiana ( USI ) -Scuola universitaria professionale della Svizzera italiana [Manno] ( SUPSI ), Anaesthetics, Southampton University Hospital, Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, PennState University [Pennsylvania] ( PSU ), University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Department of epidemiology and Public Health, Faculty of Medicine, Hong Kong Baptist University ( HKBU ), Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Department of Neurology Lunds University Hospital Lund, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux ( SAMOVAR ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ) -Centre National de la Recherche Scientifique ( CNRS ), Département Réseaux et Services Multimédia Mobiles ( RS2M ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], Institut Lumière Matière [Villeurbanne] ( ILM ), Université Claude Bernard Lyon 1 ( UCBL ), World Health Organization, Nordic School of Public Health, The James Hutton Institute, Sero, Sero consulting, Evolutionary Ecology of Infectious Disease Group, Department of Zoology, Horia Hulubei National Institute for Physics and Nuclear Engineering, Dunedin School of Medicine, University of Otago, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Dept.of Computer Science, Indian Institute of Technology Madras ( IIT Madras ), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Université Grenoble Alpes - UFR Médecine ( UGA UFRM ), Université Grenoble Alpes ( UGA ), Clinical Epidemiology and Aging Research, German Cancer Research Center, Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Symantec, European Microsoft Innovation Center ( EMIC ), Microsoft Corporation [Redmond, Wash.], Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), Novartis institute for tropical diseases, Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Departments of Anatomy and Cell Biology, Wayne State University School of Medicine, Departments of Ophthalmology, Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, Yale School of Medicine-Yale School of Medicine-Yale Stem Cell Center, Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute ( NEST ), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology ( LICB ), National Institutes of Health ( NIH ), Institute of Human Genetics, Bonn Universität [Bonn], Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] ( KTH ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, NICTA [Eveleigh], National ICT Australia [Sydney] ( NICTA ), Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), German Research Centre for Geosciences - Helmholtz-Centre Potsdam ( GFZ ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Neurorestoration Group, King‘s College London-Wolfson Centre for Age-related Diseases, Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Computational Science and Engineering Department [Daresbury] (STFC), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Weill Cornell Medicine [Qatar], Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, University of Southampton, University of Cambridge [UK] (CAM), Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours (UT), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Stanford University, Unité de recherche Virologie et Immunologie Moléculaires (VIM (UR 0892)), Institut National de la Recherche Agronomique (INRA), National University of Singapore (NUS), Université Paris 1 Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Paris 1 Panthéon-Sorbonne (UP1), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Arthritis Research UK Epidemiology Unit (MANCHESTER - Arthritis Research), Universidade do Porto = University of Porto, Advanced Laboratories on Embedded Systems [Roma] (ALES), Wageningen University and Research [Wageningen] (WUR), University of Oxford, Universitat Politècnica de Catalunya [Barcelona] (UPC), Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), University of Connecticut (UCONN), Norwegian Institute for Air Research (NILU), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Tehran, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), The George Washington University (GW), Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Catholique de Louvain = Catholic University of Louvain (UCL), Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), School of Physics and Astronomy [St Andrews], Tata Research Development and Design Center (TRDDC), MOLTECH-Anjou, Université d'Angers (UA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Swedish Defense Research Agency (FOI), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratory of Image Science and Technology [Nanjing] (LIST), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana = University of Applied Sciences and Arts of Southern Switzerland [Manno] (SUPSI), Pennsylvania State University (Penn State), Penn State System-Penn State System, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Hong Kong Baptist University (HKBU), Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), University of Melbourne, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Otago [Dunedin, Nouvelle-Zélande], Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Madras (IIT Madras), Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Microsoft Innovation Center (EMIC), Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Novartis Institute for Tropical Diseases (NITD), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Mathematical Modeling (CMM), Universidad de Chile = University of Chile [Santiago] (UCHILE), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], University of Occupational and Environmental Health [Kitakyushu] (UEOH), Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven]-Yale School of Medicine [New Haven, Connecticut] (YSM), Nanoscience Institute (NEST), University of Pisa - Università di Pisa, Laboratory Of Immune Cell Biology (LICB), National Institutes of Health [Bethesda] (NIH), Rheinische Friedrich-Wilhelms-Universität Bonn, Royal Institute of Technology [Stockholm] (KTH ), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), National ICT Australia [Sydney] (NICTA), Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Kardiyoloji, Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Unité de recherche Virologie et Immunologie Moléculaires (VIM), Université Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Panthéon-Sorbonne (UP1), Wageningen University and Research Centre [Wageningen] (WUR), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), George Washington University (GW), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Université Catholique de Louvain (UCL), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università della Svizzera italiana (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), California Institute of Technology (CALTECH)-NASA, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services Multimédia Mobiles (RS2M), Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Université Grenoble Alpes (UGA), Universidad de Santiago de Chile [Santiago] (USACH), Yale University [New Haven]-Yale University School of Medicine, Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Université de Nantes - Faculté des Sciences et des Techniques, Grelier, Elisabeth, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Universidade do Porto, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Università degli studi di Bari Aldo Moro (UNIBA), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Belfort-Montbeliard (UTBM), Institut de Chimie du CNRS (INC)-Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Wolfson Centre for Age-related Diseases-King‘s College London, Cell biology, Public Health, Epidemiology, Health Technology Assessment (HTA), Erasmus MC other, Pathology, and Cardiothoracic Surgery
Subjects: Gerontology, Male, CHANGING RELATION, Nutrition and Disease, MESH : Life Expectancy, MESH : Aged, ECONOMIC-DEVELOPMENT, Poison control, MESH: Global Health, Global Health, Socioeconomic Factor, Communicable Disease, MESH : Chronic Disease, Health Transition, Voeding en Ziekte, Quality-Adjusted Life Year, SELF-RATED HEALTH, MESH : Socioeconomic Factors, Medicine, MESH : Female, MESH: Mortality, Premature, 2. Zero hunger, MESH: Aged, education.field_of_study, MESH: Middle Aged, Mortality rate, Medicine (all), GBD2013 diseases, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, General Medicine, Middle Aged, 3. Good health, MESH : Wounds and Injuries, Epidemiological transition, MESH: Quality-Adjusted Life Years, MESH: Communicable Diseases, NONCOMMUNICABLE DISEASES, Female, Quality-Adjusted Life Years, MESH: Life Expectancy, MESH: Health Transition, Human, MESH: Socioeconomic Factors, ACUTE MYOCARDIAL-INFARCTION, MESH : Male, MORTALITY TRENDS, Population, MESH : Health Transition, Communicable Diseases, Article, Life Expectancy, EUROPEAN-UNION, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Disability-adjusted life year, Humans, Life Science, MESH : Middle Aged, Mortality, education, Premature, MESH : Mortality, Premature, VLAG, Aged, MESH: Humans, business.industry, Mortality, Premature, MESH: Chronic Disease, MESH : Communicable Diseases, Wounds and Injurie, MESH : Humans, MESH : Quality-Adjusted Life Years, Non-communicable disease, Chronic Disease, Socioeconomic Factors, Wounds and Injuries, medicine.disease, MESH: Male, LOW SOCIOECONOMIC-STATUS, Years of potential life lost, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Wounds and Injuries, Life expectancy, RISK-FACTORS, MESH : Global Health, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH: Female, Demography
Abstract: Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Funding Bill & Melinda Gates Foundation. BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.
Published: 2015

12. On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Author: Nafsiah Mboi, Surbakti, Indra Murty, Trihandini, Indang, Elyazar, Iqbal, Houston Smith, Karen, Ali, Pungkas Bahjuri, Soewarta Kosen, Flemons, Kristin, Ray, Sarah E., Cao, Jackie, Glenn, Scott D., Miller-Petrie, Molly K., Mooney, Meghan D., Ried, Jeffrey L., Anggraini Ningrum, Dina Nur, Fachmi Idris, Siregar, Kemal N., Harimurti, Pandu, Bernstein, Robert S., and Pangestu, Tikki
Subjects: *LIFE expectancy, *PUBLIC health, *HEALTH promotion, *EPIDEMIOLOGY, *QUALITY of life, *COMMUNICABLE disease epidemiology, *CHRONIC diseases, *COMMUNICABLE diseases, *EPIDEMIOLOGICAL transition, *HEALTH insurance, *LONGEVITY, *MEDICAL care, *MORTALITY, *NUTRITION disorders, *WORLD health, *WOUNDS & injuries
Abstract: Background: As Indonesia moves to provide health coverage for all citizens, understanding patterns of morbidity and mortality is important to allocate resources and address inequality. The Global Burden of Disease 2016 study (GBD 2016) estimates sources of early death and disability, which can inform policies to improve health care.Methods: We used GBD 2016 results for cause-specific deaths, years of life lost, years lived with disability, disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 333 causes in Indonesia and in seven comparator countries. Estimates were produced by location, year, age, and sex using methods outlined in GBD 2016. Using the Socio-demographic Index, we generated expected values for each metric and compared these against observed results.Findings: In Indonesia between 1990 and 2016, life expectancy increased by 8·0 years (95% uncertainty interval [UI] 7·3-8·8) to 71·7 years (71·0-72·3): the increase was 7·4 years (6·4-8·6) for males and 8·7 years (7·8-9·5) for females. Total DALYs due to communicable, maternal, neonatal, and nutritional causes decreased by 58·6% (95% UI 55·6-61·6), from 43·8 million (95% UI 41·4-46·5) to 18·1 million (16·8-19·6), whereas total DALYs from non-communicable diseases rose. DALYs due to injuries decreased, both in crude rates and in age-standardised rates. The three leading causes of DALYs in 2016 were ischaemic heart disease, cerebrovascular disease, and diabetes. Dietary risks were a leading contributor to the DALY burden, accounting for 13·6% (11·8-15·4) of DALYs in 2016.Interpretation: Over the past 27 years, health across many indicators has improved in Indonesia. Improvements are partly offset by rising deaths and a growing burden of non-communicable diseases. To maintain and increase health gains, further work is needed to identify successful interventions and improve health equity.Funding: The Bill & Melinda Gates Foundation. [ABSTRACT FROM AUTHOR]
Published: 2018
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13. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Author: Abbafati, C., Machado, D.B., Cislaghi, B., Salman, O.M., Karanikolos, M., McKee, M., Abbas, K.M., Brady, O.J., Larson, H.J., Trias-Llimós, S., Cummins, S., Langan, S.M., Sartorius, B., Hafiz, A., Jenabi, E., Mohammad Gholi Mezerji, N., Borzouei, S., Azarian, G., Khazaei, S., Abbasi, M., Asghari, B., Masoumi, S., Komaki, H., Taherkhani, A., Adabi, M., Abbasifard, M., Bazmandegan, G., Kamiab, Z., Vakilian, A., Anjomshoa, M., Mokari, A., Sabour, S., Shahbaz, M., Saeedi, R., Ahmadieh, H., Yousefinezhadi, T., Haj-Mirzaian, A., Nikbakhsh, R., Safi, S., Asgari, S., Irvani, S.N., Jahanmehr, N., Ramezanzadeh, K., Abbasi-Kangevari, M., Khayamzadeh, M., Abbastabar, H., Shirkoohi, R., Fazlzadeh, M., Janjani, H., Hosseini, M., Mansournia, M., Tohidinik, H., Bakhtiari, A., Fazaeli, A., Mousavi, S., Hasanzadeh, A., Nabavizadeh, B., Malekzadeh, R., Hashemian, M., Pourshams, A., Salimzadeh, H., Sepanlou, S.G., Afarideh, M., Esteghamati, A., Esteghamati, S., Ghajar, A., Heidari, B., Rezaei, N., Mohamadi, E., Rahimi-Movaghar, A., Rahim, F., Eskandarieh, S., Sahraian, M., Mohebi, F., Aminorroaya, A., Ebrahimi, H., Farzadfar, F., Mohajer, B., Pishgar, F., Saeedi Moghaddam, S., Shabani, M., Zarafshan, H., Abolhassani, H., Hafezi-Nejad, N., Heidari-Soureshjani, R., Abdollahi, M., Farahmand, M., Salamati, P., Mehrabi Nasab, E., Tajdini, M., Aghamir, S., Mirzaei, R., Dibaji Forooshani, Z., Khater, M.M., Abd-Allah, F., Abdelalim, A., Abualhasan, A., El-Jaafary, S.I., Hassan, A., Elsharkawy, A., Khater, A.M., Elhabashy, H.R., Salem, M.R.R., Salem, H., Sadeghi, M., Jafarinia, M., Amini-Rarani, M., Mohammadifard, N., Sarrafzadegan, N., Abdollahpour, I., Sarveazad, A., Tehrani-Banihashemi, A., Yoosefi Lebni, J., Manafi, N., Pazoki Toroudi, H., Dorostkar, F., Alipour, V., Sheikhtaheri, A., Arabloo, J., Azari, S., Ghashghaee, A., Rezapour, A., Naserbakht, M., Kabir, A., Mehri, F., Yousefifard, M., Asadi-Aliabadi, M., Babaee, E., Eshrati, B., Goharinezhad, S., Moradi-Lakeh, M., Abedi, P., Rashedi, V., Kumar, V., Elgendy, I.Y., Basu, S., Park, J., Pereira, A., Norheim, O.F., Eagan, A.W., Cahill, L.E., Sheikh, A., Abushouk, A.I., Kraemer, M.U.G., Thakur, B., Bärnighausen, T.W., Shrime, M.G., Abedi, A., Doshi, C.P., Abegaz, K.H., Geberemariyam, B.S., Aynalem, Y.A., Shiferaw, W.S., Abosetugn, A.E., Aboyans, V., Abrams, E.M., Gitimoghaddam, M., Kissoon, N., Stubbs, J.L., Brauer, M., Iyamu, I.O., Kopec, J.A., Pourmalek, F., Ribeiro, A.P., Malta, D.C., Gomez, R.S., Abreu, L.G., Abrigo, M.R.M., Almulhim, A.M., Dahlawi, S.M.A., Pottoo, F.H., Menezes, R.G., Alanzi, T.M., Alumran, A.K., Abu Haimed, A.K., Madadin, M., Alanezi, F.M., Abu-Gharbieh, E., Saddik, B., Abu-Raddad, L.J., Samy, A.M., El Nahas, N., Shalash, A.S., Nabhan, A.F., Kamath, A.M., Kassebaum, N.J., Aravkin, A.Y., Kochhar, S., Sorensen, R.J.D., Afshin, A., Burkart, K., Cromwell, E.A., Dandona, L., Dharmaratne, S.D., Gakidou, E., Hay, S.I., Kyu, H.H., Lopez, A.D., Lozano, R., Misganaw, A.T., Mokdad, A.H., Naghavi, M., Pigott, D.M., Reiner Jr, R.C., Roth, G.A., Stanaway, J.D., Vollset, S., Vos, T., Wang, H., Lim, S.S., Murray, C.J.L., Kalani, R., Ikuta, K.S., Cho, D.Y., Kneib, C.J., Crowe, C.S., Massenburg, B.B., Morrison, S.D., Acebedo, A., Adelson, J.D., Agesa, K.M., Alam, T., Albertson, S.B., Anderson, J.A., Antony, C.M., Ashbaugh, C., Assmus, M., Azhar, G., Balassyano, S., Bannick, M.S., Barthelemy, C.M., Bender, R.G., Bennitt, F.B., Bertolacci, G.J., Biehl, M.H., Bisignano, C., Boon-Dooley, A.S., Briant, P.S., Bryazka, D., Bumgarner, B.R., Callender, C.S., Cao, J., Castle, C.D., Castro, E., Causey, K., Cercy, K.M., Chalek, J., Charlson, F.J., Cohen, A.J., Comfort, H., Compton, K., Croneberger, A.J., Cruz, J.A., Cunningham, M., Dandona, R., Dangel, W.J., Dean, F.E., DeCleene, N.K., Deen, A., Degenhardt, L., Dingels, Z.V., Dippenaar, I.N., Dirac, M.A., Dolgert, A.J., Emmons-Bell, S., Estep, K., Farag, T., Feigin, V.L., Feldman, R., Ferrara, G., Ferrari, A.J., Fitzgerald, R., Force, L.M., Fox, J.T., Frank, T.D., Fu, W., Fukutaki, K., Fuller, J.E., Fullman, N., Galles, N.C., Gardner, W.M., Gershberg Hayoon, A., Goren, E., Gorman, T.M., Gottlich, H.C., Guo, G., Haddock, B., Hagins, H., Haile, L.M., Hamilton, E.B., Han, C., Han, H., Harvey, J.D., Henny, K., Henrikson, H.J., Henry, N.J., Herbert, M.E., Hsiao, T., Huynh, C.K., Iannucci, V.C., Ippolito, H., Irvine, C.M.S., Jafari, H., Jahagirdar, D., James, S.L., Johnson, C.O., Johnson, S.C., Keller, C., Kemmer, L., Kendrick, P.J., Knight, M., Kocarnik, J.M., Krohn, K.J., Larson, S.L., Lau, K.M., Ledesma, J.R., Leever, A.T., LeGrand, K.E., Lescinsky, H., Lin, C., Liu, H., Liu, Z., Lo, J., Lu, A., Ma, J., Maddison, E.R., Manguerra, H., Marks, A., Martopullo, I., Mastrogiacomo, C.I., May, E.A., Mooney, M.D., Mosser, J.F., Mullany, E.C., Mumford, J., Munro, S.B., Nandakumar, V., Nguyen, J., Nguyen, M., Nichols, E., Nixon, M.R., Odell, C.M., Ong, K.L., Orji, A.U., Ostroff, S.M., Pasovic, M., Paulson, K.R., Pease, S.A., Pennini, A., 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Nikolao, Desai, Rupak, Dhungana, Govinda Prasad, Dias da Silva, Diana, Diaz, Daniel, Dippenaar, Ilse N, Djalalinia, Shirin, Do, Hoa Thi, Dokova, Klara, Doku, David Teye, Dorostkar, Fariba, Doshi, Chirag P, Doshmangir, Leila, Doyle, Kerrie E, Dubljanin, Eleonora, Duraes, Andre Rodrigue, Edvardsson, David, Effiong, Andem, El Sayed, Iman, El Tantawi, Maha, Elbarazi, Iffat, El-Jaafary, Shaimaa I, Emamian, Mohammad Hassan, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Estep, Kara, Farahmand, Mohammad, Faraj, Anwar, Fareed, Mohammad, Faridnia, Roghiyeh, Faro, Andre, Farzadfar, Farshad, Fattahi, Nazir, Fazaeli, Ali Akbar, Fazlzadeh, Mehdi, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferreira, Manuela L, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Freitas, Marisa, Fukumoto, Takeshi, Fuller, John E, Furtado, João M, Gad, Mohamed M, Gakidou, Emmanuela, Gallus, Silvano, Gebrehiwot, Abiyu Mekonnen, Gebremedhin, Ketema Bizuwork, Gething, Peter W, Ghamari, Farhad, Ghashghaee, Ahmad, Gholamian, Asadollah, Gilani, Syed Amir, Gitimoghaddam, Mojgan, Glushkova, Ekaterina Vladimirovna, Gnedovskaya, Elena V, Gopalani, Sameer Vali, Goulart, Alessandra C, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rajeev, Gupta, Subodh Sharan, Haagsma, Juanita A, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Halvaei, Iman, Hamadeh, Randah R, Hamagharib Abdullah, Kanaan, Han, Chieh, Handiso, Demelash Woldeyohanne, Hankey, Graeme J, Haririan, Hamidreza, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Heibati, Behzad, Heidari-Soureshjani, Reza, Henny, Kiana, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hole, Michael K, Hoogar, Praveen, Hosgood, H Dean, Hossain, Naznin, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hoy, Damian G, Hu, Guoqing, Huda, Tanvir M, Ibitoye, Segun Emmanuel, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Islam, Mdmohaimenul, Iso, Hiroyasu, Iwu, Chinwe Juliana, Jaafari, Jalil, Jacobsen, Kathryn H, Jahagirdar, Deepa, Jahanmehr, Nader, Jalali, Amir, Jalilian, Farzad, James, Spencer L, Janjani, Hosna, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kalani, Hamed, Kalankesh, Leila R, Kamiab, Zahra, Kanchan, Tanuj, Kapoor, Neeti, Karch, André, Karimi, Salah Eddin, Karimi, Seyed Asaad, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Kayode, Gbenga A, Keiyoro, Peter Njenga, Keller, Cathleen, Khader, Yousef Saleh, Khalid, Nauman, Khan, Ejaz Ahmad, Khan, Maseer, Khang, Young-Ho, Khater, Amir M, Khater, Mona M, Khazaei, Salman, Khazaie, Habibolah, Khodayari, Mohammad Taghi, Khubchandani, Jagdish, Kianipour, Neda, Kim, Cho-il, Kim, Young-Eun, Kim, Yun Jin, Kinfu, Yohanne, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Komaki, Hamidreza, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krohn, Kris J, Kuate Defo, Barthelemy, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lami, Faris Hasan, Lansky, Sonia, Larson, Samantha Leigh, Larsson, Anders O, Lasrado, Savita, Lassi, Zohra S, Lazarus, Jeffrey V, Lee, Paul H, Lee, Shaun Wen Huey, Leever, Andrew T, Legrand, Kate E, Leonardi, Matilde, Li, Shanshan, Lim, Lee-Ling, Lim, Stephen S, Linn, Shai, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lopukhov, Platon D, Lotufo, Paulo A, Lozano, Rafael, Lu, Alton, Lunevicius, Raimunda, Madadin, Mohammed, Maddison, Emilie R, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahasha, Phetole Walter, Mahdavi, Mokhtar Mahdavi, Malekzadeh, Reza, Mamun, Abdullah A, Manafi, Navid, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Mastrogiacomo, Claudia I, Mathur, Manu Raj, May, Erin A, Mcalinden, Colm, Mcgrath, John J, Mckee, Martin, Mehndiratta, Man Mohan, Mehri, Fereshteh, Mehta, Kala M, Meitei, Wahengbam Bigyananda, Memiah, Peter T N, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Endalkachew Worku, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mihretie, Kebadnew Mulatu, Miller, Ted R, Mills, Edward J, Milne, George J, Mirrakhimov, Erkin M, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei-Alavijeh, Mehdi, Misganaw, Awoke Temesgen, Moazen, Babak, Moghadaszadeh, Masoud, Mohamadi, Efat, Mohammad, Dara K, Mohammad, Yousef, Mohammad Gholi Mezerji, Naser, Mohammadbeigi, Abolfazl, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Hussen, Mohammed, Shafiu, Mohebi, Farnam, Mohseni Bandpei, Mohammad A, Mokari, Amin, Mokdad, Ali H, Momen, Natalie C, Monasta, Lorenzo, Mooney, Meghan D, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moradzadeh, Rahmatollah, Moraga, Paula, Moreno Velásquez, Ilai, Morgado-da-Costa, Joana, Morrison, Shane Dougla, Mosser, Jonathan F, Mouodi, Simin, Mousavi, Seyyed Meysam, Mousavi Khaneghah, Amin, Mueller, Ulrich Otto, Musa, Kamarul Imran, Muthupandian, Saravanan, Nabavizadeh, Behnam, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naghshtabrizi, Behshad, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Ndwandwe, Duduzile Edith, Negoi, Ionut, Negoi, Ruxandra Irina, Ngunjiri, Josephine W, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Yeshambel T, Nikbakhsh, Rajan, Nikpoor, Amin Reza, Nixon, Molly R, Nnaji, Chukwudi A, Nomura, Shuhei, Noubiap, Jean Jacque, Nouraei Motlagh, Soraya, Nowak, Christoph, Oţoiu, Adrian, Odell, Christopher M, Oh, In-Hwan, Oladnabi, Morteza, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar Bali, Ahmed, Ong, Kanyin L, Onwujekwe, Obinna E, Ortiz, Alberto, Otstavnov, Nikita, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Jame, Pasupula, Deepak Kumar, Patel, Jenil R, Patel, Sangram Kishor, Patton, George C, Paulson, Katherine R, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pigott, David M, Pilgrim, Thoma, Pilz, Tessa M, Piradov, Michael A, Pirsaheb, Meghdad, Pokhrel, Khem Narayan, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Pourshams, Akram, Poznańska, Anna, Prada, Sergio I, Prakash, Sanjay, Preotescu, Liliana, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Raggi, Alberto, Rahman, Muhammad Aziz, Rajabpour-Sanati, Ali, Ram, Pradhum, Ranabhat, Chhabi Lal, Rao, Sowmya J, Rasella, Davide, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawal, Lal, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Nima, Rezai, Mohammad sadegh, Rezapour, Aziz, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostamian, Morteza, Rubagotti, Enrico, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Sadeghi, Ehsan, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Safari, Yahya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salama, Joseph S, Salamati, Payman, Salem, Marwa R Rashad, Salimi, Yahya, Salomon, Joshua A, Salz, Inbal, Samad, Zainab, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saraswathy, Sivan Yegnanarayana Iyer, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sattin, Davide, Saylan, Mete, Schaeffer, Lauren E, Schiavolin, Silvia, Schwebel, David C, Schwendicke, Falk, Sekerija, Mario, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabani, Mahsima, Shahabi, Saeed, Shahbaz, Mohammad, Shaheen, Amira A, Shaikh, Masood Ali, Shalash, Ali S, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomar, Sharafi, Zeinab, Sharara, Fablina, Sharma, Rajesh, Shaw, David H, Sheikh, Aziz, Shin, Jae Il, Shiri, Rahman, Shrime, Mark G, Shuval, Kerem, Siabani, Soraya, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Simonetti, Biagio, Simpson, Kyle E, Singh, Jasvinder A, Skiadaresi, Eirini, Skryabin, Valentin Yurievich, Soheili, Amin, Sokhan, Anton, Sorensen, Reed J D, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Spurlock, Emma Elizabeth, Sreeramareddy, Chandrashekhar T, Stockfelt, Leo, Stokes, Mark A, Stubbs, Jacob L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Suliankatchi Abdulkader, Rizwan, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Tadakamadla, Santosh Kumar, Taherkhani, Amir, Tang, Muming, Taveira, Nuno, Taylor, Heather Jean, Teagle, Whitney L, Tehrani-Banihashemi, Arash, Teklehaimanot, Berhane Fseha, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Thrift, Amanda G, Titova, Mariya Vladimirovna, Tohidinik, Hamid Reza, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Travillian, Ravensara, Trias-Llimós, Sergi, Truelsen, Thomas Clement, Tudor Car, Lorainne, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Vakilian, Alireza, Valdez, Pascual R, Valli, Alessandro, Vardavas, Constantine, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Vasseghian, Yasser, Veisani, Yousef, Venketasubramanian, Narayanaswamy, Vidale, Simone, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vujcic, Isidora S, Vukovic, Ana, Vukovic, Rade, Waheed, Yasir, Wallin, Mitchell Taylor, Walters, Magdalene K, Wang, Hongbo, Wang, Yuan-Pang, Watson, Stefanie, Wei, Jingkai, Weiss, Jordan, Weldesamuel, Girmay Teklay, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wiangkham, Taweewat, Wiens, Kirsten E, Wijeratne, Tissa, Wiysonge, Charles Shey, Wojtyniak, Bogdan, Wolfe, Charles D A, Wondmieneh, Adam Belay, Wool, Eve E, Wu, Ai-Min, Wu, Junjie, Xu, Gelin, Yamada, Tomohide, Yamagishi, Kazumasa, Yano, Yuichiro, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yearwood, Jamal A, Yeheyis, Tomas Y, Yilgwan, Christopher Sabo, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yoosefi Lebni, Javad, York, Hunter W, Younis, Mustafa Z, Younker, Theodore Patrick, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Yousuf, Abdilahi Yousuf, Yusefzadeh, Hasan, Zahirian Moghadam, Telma, Zakzuk, Josefina, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zandian, Hamed, Zhang, Zhi-Jiang, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, Murray, Christopher J L, Collaborators, GBD 2019 Demographics, GBD 2019 Demographics Collaborator, Violante FS, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Department of Earth Systems Analysis, Biomechanical Engineering, TechMed Centre, Biomolecular Nanotechnology, Research Methodology, Measurement and Data Analysis, Materials Science and Technology of Polymers, Inorganic Materials Science, MESA+ Institute, Biomedical and Environmental Sensorsystems, Mesoscale Chemical Systems, Faculty of Engineering Technology, Nonlinear Solid Mechanics, Digital Society Institute, Pervasive Systems, Nanobiophysics, Faculty of Geo-Information Science and Earth Observation, Multi Scale Mechanics, Engineering Fluid Dynamics, Physics of Complex Fluids, Developmental BioEngineering, Physics of Fluids, Elastomer Technology and Engineering, Medical Cell Biophysics, European Membrane Institute, Department of Earth Observation Science, Biomaterials Science and Technology, Sustainable Process Technology, Department of Urban and Regional Planning and Geo-Information Management, Department of Natural Resources, XUV Optics, Databases (Former), Department of Water Resources, Psychology, Health & Technology, Membrane Science & Technology, Department of Public Health, Clinicum, HUS Neurocenter, HUS Comprehensive Cancer Center, and Environmental Sciences
Subjects: Male, very elderly, Demographic transition, HALE, 030204 cardiovascular system & hematology, preschool child, Global Burden of Disease, Carga Global de Enfermedades, 0302 clinical medicine, newborn, Risk Factors, Surveys and Questionnaires, and Risk Factors Study, 80 and over, 030212 general & internal medicine, Birth Rate, Child, Migration, 11 Medical and Health Sciences, Aged, 80 and over, education.field_of_study, Injuries, Geography, Mortality rate, 1. No poverty, DEATH, Censuses, General Medicine, SDG 10 - Reduced Inequalities, Middle Aged, Demographic analysis, 3142 Public health care science, environmental and occupational health, 3. Good health, demographic analysis, Estilo de Vida Saludable, risk factor, Child, Preschool, Demography/statistics & numerical data, Global Burden of Diseases, Injuries, Risk Factors, Fertility, Mortality, Migration, Population, epidemiology, Female, A990 Medicine and Dentistry not elsewhere classified, CHILD-MORTALITY, Live Birth, Global Health Metrics, TRANSITION, demographics, GBD, fertility, mortality, hale, Adult, Adolescent, Total fertility rate, Population, Global Burden of Diseases, Injuries, and Risk Factors Study, Birth rate, 03 medical and health sciences, Young Adult, Life Expectancy, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Demografía, Humans, Global Burden of Disease Study, human, Mortality, education, Preschool, Aged, Demography, Spatial Analysis, questionnaire, Infant, Newborn, Klinisk medicin, HIV, Infant, Global Burden of Diseases, sex-specific fertility, Live Birth/epidemiology, purl.org/pe-repo/ocde/ford#3.02.00 [https], MODEL, Fertilidad, Fertility, Demographic change, Life expectancy, NA, global disease burden, Clinical Medicine, population research
Abstract: Background Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings The global TFR decreased from 2.72 (95% uncertainty interval [UI] 2.66-2.79) in 2000 to 2.31 (2.17-2.46) in 2019. Global annual livebirths increased from 134.5 million (131.5-137.8) in 2000 to a peak of 139.6 million (133.0-146.9) in 2016. Global livebirths then declined to 135.3 million (127.2-144.1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2.1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27.1% (95% UI 26.4-27.8) of global livebirths. Global life expectancy at birth increased from 67.2 years (95% UI 66.8-67.6) in 2000 to 73.5 years (72.8-74.3) in 2019. The total number of deaths increased from 50.7 million (49.5-51.9) in 2000 to 56.5 million (53.7-59.2) in 2019. Under-5 deaths declined from 9.6 million (9.1-10.3) in 2000 to 5.0 million (4.3-6.0) in 2019. Global population increased by 25.7%, from 6.2 billion (6.0-6.3) in 2000 to 7.7 billion (7.5-8.0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58.6 years (56.1-60.8) in 2000 to 63.5 years (60.8-66.1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
Published: 2020

14. Population health and regional variations of disease burden in Japan, 1990-2015: a systematic subnational analysis for the Global Burden of Disease Study 2015.

Author: Shuhei Nomura, Haruka Sakamoto, Glenn, Scott, Yusuke Tsugawa, Abe, Sarah K., Rahman, M., Brown, Jonathan C., Satoshi Ezoe, Fitzmaurice, Christina, Tsuyoshi Inokuchi, Kassebaum, Nicholas J., Norito Kawakami, Yosuke Kita, Naoki Kondo, Lim, Stephen S., Satoshi Maruyama, Hiroaki Miyata, Mooney, Meghan D., Naghavi, Mohsen, and Tomoko Onoda
Subjects: *BURDEN of care, *PUBLIC health, *SUSTAINABILITY, *LIFE expectancy, *MORTALITY, *SMOKING
Abstract: Background: Japan has entered the era of super-ageing and advanced health transition, which is increasingly putting pressure on the sustainability of its health system. The level and pace of this health transition might vary across regions within Japan and concern is growing about increasing regional variations in disease burden. The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) provides a comprehensive, comparable framework. We used data from GBD 2015 with the aim to quantify the burden of disease and injuries, and to attribute risk factors in Japan at a subnational, prefecture-level.Methods: We used data from GBD 2015 for 315 causes and 79 risk factors of death, disease, and injury incidence and prevalence to measure the burden of diseases and injuries in Japan and in the 47 Japanese prefectures from 1990 to 2015. We extracted data from GBD 2015 to assess mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy, and healthy life expectancy (HALE) in Japan and its 47 prefectures. We split extracted data by prefecture and applied GBD methods to generate estimates of burden, and attributable burden due to known risk factors. We examined the prefecture-level relationships of common health system inputs (eg, health expenditure and workforces) to the GBD outputs in 2015 to address underlying determinants of regional health variations.Findings: Life expectancy at birth in Japan increased by 4·2 years from 79·0 years (95% uncertainty interval [UI] 79·0 to 79·0) to 83·2 years (83·1 to 83·2) between 1990 and 2015. However, the gaps between prefectures with the lowest and highest life expectancies and HALE have widened, from 2·5 to 3·1 years and from 2·3 to 2·7 years, respectively, from 1990 to 2015. Although overall age-standardised death rates decreased by 29·0% (28·7 to 29·3) from 1990 to 2015, the rates of mortality decline in this period substantially varied across the prefectures, ranging from -32·4% (-34·8 to -30·0) to -22·0% (-20·4 to -20·1). During the same time period, the rate of age-standardised DALYs was reduced overall by 19·8% (17·9 to 22·0). The reduction in rates of age-standardised YLDs was very small by 3·5% (2·6 to 4·3). The pace of reduction in mortality and DALYs in many leading causes has largely levelled off since 2005. Known risk factors accounted for 34·5% (32·4 to 36·9) of DALYs; the two leading behavioural risk factors were unhealthy diets and tobacco smoking in 2015. The common health system inputs were not associated with age-standardised death and DALY rates in 2015.Interpretation: Japan has been successful overall in reducing mortality and disability from most major diseases. However, progress has slowed down and health variations between prefectures is growing. In view of the limited association between the prefecture-level health system inputs and health outcomes, the potential sources of regional variations, including subnational health system performance, urgently need assessment.Funding: Bill & Melinda Gates Foundation, Japan Ministry of Education, Science, Sports and Culture, Japan Ministry of Health, Labour and Welfare, AXA CR Fixed Income Fund and AXA Research Fund. [ABSTRACT FROM AUTHOR]
Published: 2017
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15. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Haidong, Wang, Mohsen, Naghavi, Christine, Allen, Ryan M, Barber Zulfi, qar A, Bhutta, Austin, Carter, Daniel C, Casey Fiona, J Charlson, Alan Zian, Chen Matthew, M Coates, Megan, Coggeshall, Lalit, Dandona, Daniel J, Dicker Holly, E Erskine, Alize J, Ferrari, Christina, Fitzmaurice, Kyle, Foreman, Mohammad H, Forouzanfar Maya, S Fraser, Nancy, Fullman, Peter W, Gething Ellen, M Goldberg, Nicholas, Graetz, Juanita A, Haagsma Simon, I Hay, Chantal, Huynh, Catherine O, Johnson Nicholas, J Kassebaum, Yohannes, Kinfu, Xie Rachel, Kulikoff, Michael, Kutz, Hmwe H, Kyu Heidi, J Larson, Janni, Leung, Xiaofeng, Liang, Stephen S, Lim, Margaret, Lind, Rafael, Lozano, Neal, Marquez, George A, Mensah, Joe, Mikesell, Ali H, Mokdad Meghan, D Mooney, Grant, Nguyen, Elaine, Nsoesie, David M, Pigott, Christine, Pinho, Gregory A, Roth Joshua, A Salomon, Logan, Sandar, Naris, Silpakit, Amber, Sligar, Reed J, D Sorensen, Jeff rey, Stanaway, Caitlyn, Steiner, Stephanie, Teeple, Bernadette A, Thomas, Christopher, Troeger, Amelia, VanderZanden, Stein Emil, Vollset, Valentine, Wanga, Harvey A, Whiteford, Timothy, Wolock, Leo, Zoeckler, Kalkidan Hassen, Abate, Cristiana, Abbafati, Kaja M, Abbas, Foad, Abd-Allah, Semaw Ferede, Abera Daisy, M X, Abreu Laith, J Abu-Raddad, Gebre Yitayih, Abyu, Tom, Achoki, Ademola Lukman, Adelekan Zanfi, na Ademi, Arsène Kouablan, Adou José, C Adsuar, Kossivi Agbelenko, Afanvi, Ashkan, Afshin, Emilie Elisabet, Agardh, Arnav, Agarwal, Anurag, Agrawal, Aliasghar Ahmad, Kiadaliri Oluremi, N Ajala, Ali Shafqat, Akanda Rufus, Olusola Akinyemi, Tomi F, Akinyemiju, Nadia, Akseer, Faris Hasan, Al Lami, Samer, Alabed, Ziyad, Al-Aly, Khurshid, Alam, Noore K, M Alam, Deena, Alasfoor, Saleh Fahed, Aldhahri Robert, William Aldridge, Miguel Angel, Alegretti Alicia, V Aleman, Zewdie Aderaw, Alemu Lily, T Alexander, Samia, Alhabib, Raghib, Ali, Ala’a, Alkerwi, François, Alla, Peter, Allebeck, Rajaa, Al-Raddadi, Ubai, Alsharif, Khalid A, Altirkawi Elena, Alvarez Martin, Nelson, Alvis-Guzman, Azmeraw T, Amare Adeladza, Kofi Amegah, Emmanuel A, Ameh, Heresh, Amini, Walid, Ammar, Stephen Marc, Amrock Hjalte, H Andersen, Benjamin O, Anderson Gregory, M Anderson, Carl Abelardo, T Antonio, Atsede Fantahun, Aregay, Johan, Ärnlöv, Valentina S, Arsic Arsenijevic, Al, Artaman, Hamid, Asayesh, Rana Jawad, Asghar, Suleman, Atique, Euripide Frinel, G Arthur, Avokpaho, Ashish, Awasthi, Peter, Azzopardi, Umar, Bacha, Alaa, Badawi, Maria C, Bahit, Kalpana, Balakrishnan, Amitava, Banerjee, Aleksandra, Barac, Suzanne L, Barker-Collo, Till, Bärnighausen, Lars, Barregard, Lope H, Barrero, Arindam, Basu, Sanjay, Basu, Yibeltal Tebekaw, Bayou, Shahrzad, Bazargan-Hejazi, Justin, Beardsley, Neeraj, Bedi, Ettore, Beghi, Haileeyesus Adamu, Belay, Brent, Bell, Michelle L, Bell Aminu, K Bello, Derrick A, Bennett Isabela, M Bensenor, Adugnaw, Berhane, Eduardo, Bernabé, Balem Demtsu, Betsu Addisu, Shunu Beyene, Neeraj, Bhala, Ashish, Bhalla, Sibhatu, Biadgilign, Boris, Bikbov, Aref A, Bin Abdulhak, Brian J, Biroscak, Stan, Biryukov, Espen, Bjertness, Jed D, Blore Christopher, D Blosser, Megan A, Bohensky, Rohan, Borschmann, Dipan, Bose, Rupert R, A Bourne, Michael, Brainin, Carol E, G Brayne, Alexandra, Brazinova, Nicholas J, K Breitborde, Hermann, Brenner, Jerry D, Brewer, Alexandria, Brown, Jonathan, Brown, Traolach S, Brugha Geoff, rey Colin, Buckle Zahid, A Butt, Bianca, Calabria, Ismael Ricardo, Campos-Nonato Julio, Cesar Campuzano, Jonathan R, Carapetis, Rosario, Cárdenas, David O, Carpenter Juan, Jesus Carrero, Carlos A, Castañeda-Orjuela Jacqueline, Castillo Rivas, Ferrán, Catalá-López, Fiorella, Cavalleri, Kelly, Cercy, Jorge, Cerda, Wanqing, Chen, Adrienne, Chew, Peggy Pei-Chia, Chiang, Mirriam, Chibalabala, Chioma Ezinne, Chibueze, Odgerel, Chimed-Ochir, Vesper Hichilombwe, Chisumpa Jee-Young, Jasmine Choi, Rajiv, Chowdhury, Hanne, Christensen, Devasahayam Jesudas, Christopher Liliana, G Ciobanu, Cirillo Massimo, Aaron J, Cohen, Valentina, Colistro, Mercedes, Colomar, Samantha M, Colquhoun, Cyrus, Cooper, Leslie Trumbull, Cooper, Monica, Cortinovis, Benjamin C, Cowie John, A Crump, James, Damsere-Derry, Hadi, Danawi, Rakhi, Dandona, Farah, Daoud, Sarah C, Darby Paul, I Dargan, José das, Neves, Gail, Davey, Adrian C, Davis Dragos, V Davitoiu, E Filipa, de Castro, Pieter de, Jager Diego, De Leo, Louisa, Degenhardt, Robert P, Dellavalle, Kebede, Deribe, Amare, Deribew, Samath D, Dharmaratne Preet, K Dhillon, Cesar, Diaz-Torné, Eric L, Ding Kadine, Priscila Bender, dos Santos, Edem, Dossou, Tim R, Driscoll, Leilei, Duan, Manisha, Dubey, Bruce Bartholow, Duncan Richard, G Ellenbogen, Christian Lycke, Ellingsen, Iqbal, Elyazar, Aman Yesuf, Endries Sergey, Petrovich Ermakov, Babak, Eshrati, Alireza, Esteghamati, Kara, Estep, Imad D, A Faghmous, Saman, Fahimi, Emerito Jose, Aquino Faraon, Talha A, Farid Carla, Sofi a, e Sa, Farinha, André, Faro, Maryam S, Farvid, Farshad, Farzadfar, Valery L, Feigin, Seyed-Mohammad, 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Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khang, Young-Ho, Khera, Sahil, Khoja, Tawfik Ahmed Muthafer, Kieling, Christian, Kim, Daniel, Kim, Yun Jin, Kissela, Brett M, Kissoon, Niranjan, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krog, Norun Hjertager, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kudom, Andreas A, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G Anil, Kwan, Gene F, Lal, Aparna, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lam, Jennifer O, Langan, Sinead M, Lansingh, Van C, Larsson, Ander, Laryea, Dennis Odai, Latif, Asma Abdul, Lawrynowicz, Alicia Elena Beatriz, Leigh, Jame, Levi, Miriam, Li, Yongmei, Lindsay, M Patrice, Lipshultz, Steven E, Liu, Patrick Y, Liu, Shiwei, Liu, Yang, Lo, Loon-Tzian, Logroscino, Giancarlo, Lotufo, Paulo A, Lucas, Robyn M, Lunevicius, Raimunda, Lyons, Ronan A, Ma, Stefan, Machado, Vasco Manuel Pedro, Mackay, Mark T, Maclachlan, Jennifer H, Razek, Hassan Magdy Abd El, Magdy, Mohammed, Razek, Abd El, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Manamo, Wondimu Ayele Ayele, Mandisarisa, John, Mangalam, Srikanth, Mapoma, Chabila C, Marcenes, Wagner, Margolis, David Joel, Martin, Gerard Robert, Martinez-Raga, Jose, Marzan, Melvin Barriento, Masiye, Felix, Mason-Jones, Amanda J, Massano, João, Matzopoulos, Richard, Mayosi, Bongani M, Mcgarvey, Stephen Theodore, Mcgrath, John J, Mckee, Martin, Mcmahon, Brian J, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Meretoja, Atte, Meretoja, Tuomo J, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mohan, Viswanathan, Mola, Glen Liddell D, Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montero, Pablo, Montico, Marcella, Montine, Thomas J, Moradi-Lakeh, Maziar, Morawska, Lidia, Morgan, Katherine, Mori, Rintaro, Mozaffarian, Dariush, Mueller, Ulrich O, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Kamarul Imran, Nachega, Jean B, Nagel, Gabriele, Naidoo, Kovin S, Naik, Nitish, Naldi, Luigi, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Neupane, Suba, Newton, Charles R, Newton, John N, Ng, Marie, Ngalesoni, Frida Namnyak, de Dieu Ngirabega, Jean, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Nomura, Marika, Norheim, Ole F, Norman, Paul E, Norrving, Bo, Nyakarahuka, Luke, Ogbo, Felix Akpojene, Ohkubo, Takayoshi, Ojelabi, Foluke Adetola, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osman, Majdi, Ota, Erika, Ozdemir, Raziye, Pa, Mahesh, Pandian, Jeyaraj D, Pant, Puspa Raj, Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Parry, Charles D, Parsaeian, Mahboubeh, Caicedo, Angel J Paternina, Patten, Scott B, Patton, George C, Paul, Vinod K, Pearce, Neil, Pedro, João Mário, Stokic, Ljiljana Pejin, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B, Pillay, Julian David, Plass, Dietrich, Platts-Mills, James A, Polinder, Suzanne, Pope, C Arden, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prabhakaran, Dorairaj, Qorbani, Mostafa, Quame-Amaglo, Justice, Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajavi, Zhale, Rajsic, Sasa, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M, Ranabhat, Chhabi L, Rangaswamy, Thara, Rao, Puja, Rao, Sowmya R, Refaat, Amany H, Rehm, Jürgen, Reitsma, Marissa B, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L, Ricci, Stefano, Blancas, Maria Jesus Rio, Roberts, Bayard, Roca, Anna, Rojas-Rueda, David, Ronfani, Luca, Roshandel, Gholamreza, Rothenbacher, Dietrich, Roy, Ambuj, Roy, Nawal K, Ruhago, George Mugambage, Sagar, Rajesh, Saha, Sukanta, Sahathevan, Ramesh, Saleh, Muhammad Muhammad, Sanabria, Juan R, Sanchez-Niño, Maria Dolore, Sanchez-Riera, Lidia, Santos, Itamar S, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Schaub, Michael P, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shackelford, Katya A, Shaddick, Gavin, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Shen, Ziyan, Shepard, Donald S, Sheth, Kevin N, Shetty, Balakrishna P, Shi, Peilin, Shibuya, Kenji, Shin, Min-Jeong, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G, Sigfusdottir, Inga Dora, Silberberg, Donald H, Silva, Diego Augusto Santo, Silveira, Dayane Gabriele Alve, Silverberg, Jonathan I, Simard, Edgar P, Singh, Abhishek, Singh, Gitanjali M, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Soneji, Samir, Søreide, Kjetil, Soriano, Joan B, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Stein, Dan J, Stein, Murray B, Stranges, Saverio, Stroumpoulis, Konstantino, Sunguya, Bruno F, Sur, Patrick, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Takahashi, Ken, Takala, Jukka S, Talongwa, Roberto Tchio, Tandon, Nikhil, Tavakkoli, Mohammad, Taye, Bineyam, Taylor, Hugh R, Ao, Braden J Te, Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Have, Margreet Ten, Terkawi, Abdullah Sulieman, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thomson, Alan J, Thorne-Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tillmann, Taavi, Tirschwell, David L, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Towbin, Jeffrey Allen, Traebert, Jefferson, Tran, Bach Xuan, Truelsen, Thoma, Trujillo, Ulise, Tura, Abera Kenay, Tuzcu, Emin Murat, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uthman, Olalekan A, Dingenen, Rita Van, van Donkelaar, Aaron, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Wagner, Joseph A, Wagner, Gregory R, Wallin, Mitchell T, Wang, Linhong, Watkins, David A, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Westerman, Ronny, White, Richard A, Wijeratne, Tissa, Wilkinson, James D, Williams, Hywel C, Wiysonge, Charles Shey, Woldeyohannes, Solomon Meseret, Wolfe, Charles D A, Won, Sungho, Wong, John Q, Woolf, Anthony D, Xavier, Deni, Xiao, Qingyang, Xu, Gelin, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yebyo, Henock Gebremedhin, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yonga, Gerald, Younis, Mustafa Z, Yu, Shicheng, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zannad, Faiez, Zavala, Diego E, Zeeb, Hajo, Zeleke, Berihun M, Zhang, Hao, Zodpey, Sanjay, Zonies, David, Zuhlke, Liesl Joanna, Vos, Theo, Lopez, Alan D, and Murray, Christopher J L
Subjects: VITAL-STATISTICS, INTEGRATED APPROACH, ECONOMIC-DEVELOPMENT, DEVELOPMENT ASSISTANCE, UNITED-STATES, Global Health, Communicable Disease, Communicable Diseases, cause of death, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Mortality, Medicine(all), Science & Technology, Mortality, Premature, Medicine (all), EPIDEMIOLOGIC TRANSITION, GBD 2015 Mortality and Causes of Death Collaborators, CIVIL REGISTRATION, Public Health, Global Health, Social Medicine and Epidemiology, Articles, 11 Medical And Health Sciences, ROAD TRAFFIC INJURIES, ALZHEIMERS-DISEASE, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, VERBAL AUTOPSY, Life Sciences & Biomedicine, Human
Abstract: Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography-year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61.7 years (95% uncertainty interval 61.4-61.9) in 1980 to 71.8 years (71.5-72.2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11.3 years (3.7-17.4), to 62.6 years (56.5-70.2). Total deaths increased by 4.1% (2.6-5.6) from 2005 to 2015, rising to 55.8 million (54.9 million to 56.6 million) in 2015, but age-standardised death rates fell by 17.0% (15.8-18.1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14.1% (12.6-16.0) to 39.8 million (39.2 million to 40.5 million) in 2015, whereas age-standardised rates decreased by 13.1% (11.9-14.3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42.1%, 39.1-44.6), malaria (43.1%, 34.7-51.8), neonatal preterm birth complications (29.8%, 24.8-34.9), and maternal disorders (29.1%, 19.3-37.1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000-183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000-532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Copyright (C) The Author(s). Published by Elsevier Ltd.
Published: 2016

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15 results on '"Mooney, Meghan D."'

1. On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

2. Population health and regional variations of disease burden in Japan, 1990–2015: a systematic subnational analysis for the Global Burden of Disease Study 2015

3. Trends in prevalence, mortality, and morbidity associated with high systolic blood pressure in Brazil from 1990 to 2017 : estimates from the 'Global Burden of Disease 2017' (GBD 2017) study

4. 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

5. Variations and particularities in cardiovascular disease mortality in Brazil and Brazilian states in 1990 and 2015 : estimates from the Global Burden of Disease

6. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015 : a systematic analysis for the Global Burden of Disease Study 2015

7. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015:a systematic analysis for the Global Burden of Disease Study 2015

8. Measuring the health-related Sustainable Development Goals in 188 countries : a baseline analysis from the Global Burden of Disease Study 2015

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

10. 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

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

12. On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

13. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

14. Population health and regional variations of disease burden in Japan, 1990-2015: a systematic subnational analysis for the Global Burden of Disease Study 2015.

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

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15 results on '"Mooney, Meghan D."'

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