Browsing by Author "Schumacher, Austin E. (57209276410)"
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Publication Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021(2024) ;Schumacher, Austin E. (57209276410) ;Kyu, Hmwe Hmwe (57217040073) ;Aali, Amirali (57819452000) ;Abbafati, Cristiana (54917122400) ;Abbas, Jaffar (57217776454) ;Abbasgholizadeh, Rouzbeh (59152412000) ;Abbasi, Madineh Akram (57193923353) ;Abbasian, Mohammadreza (9846109700) ;Abd ElHafeez, Samar (55551273300) ;Abdelmasseh, Michael (57356690000) ;Abd-Elsalam, Sherief (57189845325) ;Abdelwahab, Ahmed (57862779500) ;Abdollahi, Mohammad (57940559800) ;Abdoun, Meriem (20336514800) ;Abdullahi, Auwal (56102934500) ;Abdurehman, Ame Mehadi (58660534900) ;Abebe, Mesfin (57223854886) ;Abedi, Aidin (56673854800) ;Abedi, Armita (57204607249) ;Abegaz, Tadesse M. (57188746374) ;Abeldaño Zuñiga, Roberto Ariel (57737618600) ;Abhilash, E.S. (57226827662) ;Abiodun, Olugbenga Olusola (59616637500) ;Aboagye, Richard Gyan (57221438826) ;Abolhassani, Hassan (58597704600) ;Abouzid, Mohamed (57204445082) ;Abreu, Lucas Guimarães (55937631400) ;Abrha, Woldu Aberhe (57210943530) ;Abrigo, Michael R.M. (56018773400) ;Abtahi, Dariush (18036750600) ;Abu Rumeileh, Samir (57190751332) ;Abu-Rmeileh, Niveen M.E. (57216675148) ;Aburuz, Salahdein (55886382800) ;Abu-Zaid, Ahmed (59378885800) ;Acuna, Juan Manuel (56473433400) ;Adair, Tim (24480317900) ;Addo, Isaac Yeboah (56305995900) ;Adebayo, Oladimeji M. (57194329853) ;Adegboye, Oyelola A. (57222581892) ;Adekanmbi, Victor (59574083700) ;Aden, Bashir (55785191600) ;Adepoju, Abiola Victor (57201300225) ;Adetunji, Charles Oluwaseun (57192176047) ;Adeyeoluwa, Temitayo Esther (57218094241) ;Adeyomoye, Olorunsola Israel (57221313577) ;Adha, Rishan (57216878096) ;Adibi, Amin (57150418000) ;Adikusuma, Wirawan (57194502515) ;Adnani, Qorinah Estiningtyas Sakilah (57211604149) ;Adra, Saryia (57230567100) ;Afework, Abel (57219431044) ;Afolabi, Aanuoluwapo Adeyimika (57219351723) ;Afraz, Ali (58082470900) ;Afyouni, Shadi (58197325500) ;Afzal, Saira (7004381116) ;Agasthi, Pradyumna (57201708783) ;Aghamiri, Shahin (57208014122) ;Agodi, Antonella (36774232400) ;Agyemang-Duah, Williams (57190228903) ;Ahinkorah, Bright Opoku (57194684030) ;Ahmad, Aqeel (57210400531) ;Ahmad, Danish (57202805842) ;Ahmad, Firdos (55545862620) ;Ahmad, Muayyad M. 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(57997924800) ;Al-Aly, Ziyad (9738161500) ;Alam, Khurshid (57203681299) ;Alam, Manjurul (59440988500) ;Alam, Zufishan (57222957445) ;Al-Amer, Rasmieh Mustafa (24470785500) ;Alanezi, Fahad Mashhour (57213607595) ;Alanzi, Turki M. (55978240000) ;Albashtawy, Mohammed (57203680806) ;AlBataineh, Mohammad T. (59558562900) ;Aldridge, Robert W. (57209842885) ;Alemi, Sharifullah (59605760000) ;Al-Eyadhy, Ayman (24554080400) ;Al-Gheethi, Adel Ali Saeed (57195533166) ;Alhabib, Khalid F. 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(57202039470) ;Alqutaibi, Ahmed Yaseen (57144551500) ;Al-Sabah, Salman Khalifah (59643248900) ;Altaf, Awais (57201900507) ;Al-Tawfiq, Jaffar A. (9436438200) ;Altirkawi, Khalid A. (58867618600) ;Alvi, Farrukh Jawad (58956518200) ;Alwafi, Hassan (57211478307) ;Al-Worafi, Yaser Mohammed (58143034700) ;Aly, Hany (35571391500) ;Alzoubi, Karem H. (8579544200) ;Amare, Azmeraw T. (57202220009) ;Ameyaw, Edward Kwabena (57194076624) ;Amhare, Abebe Feyissa (57209219664) ;Amin, Tarek Tawfik (23007746000) ;Amindarolzarbi, Alireza (58489784300) ;Aminian Dehkordi, Javad (57202949214) ;Amiri, Sohrab (57195335343) ;Amu, Hubert (57190183918) ;Amugsi, Dickson A. (24461463800) ;Amzat, Jimoh (36023373800) ;Ancuceanu, Robert (35728302200) ;Anderlini, Deanna (57202506549) ;Andrade, Pedro Prata (58155276500) ;Andrei, Catalina Liliana (36543507200) ;Andrei, Tudorel (24179349400) ;Angappan, Dhanalakshmi (57196067525) ;Anil, Abhishek (58164007300) ;Anjum, Afifa (57212707890) ;Antony, Catherine M. 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(57204892815) ;Bragazzi, Nicola Luigi (57212030091) ;Braithwaite, Dejana (7006987079) ;Brenner, Hermann (57216427807) ;Britton, Gabrielle (7004997832) ;Browne, Annie J. (57193607016) ;Brunoni, Andre R. (24073048100) ;Bulamu, Norma B. (56957231700) ;Bulto, Lemma N. (57217172834) ;Buonsenso, Danilo (36607486700) ;Burkart, Katrin (29067507300) ;Burns, Richard A. (55682654356) ;Burugina Nagaraja, Sharath (46961272800) ;Busse, Reinhard (35589070800) ;Bustanji, Yasser (8847282600) ;Butt, Zahid A. (57202522739) ;Caetano Dos Santos, Florentino Luciano (56373058500) ;Cai, Tianji (24281176800) ;Calina, Daniela (36451890700) ;Cámera, Luis Alberto (7003354253) ;Campos, Luciana Aparecida (35945445300) ;Campos-Nonato, Ismael R. (57203424784) ;Cao, Chao (57205476718) ;Cardenas, Carlos Alberto (58955734900) ;Cárdenas, Rosario (57216482927) ;Carr, Sinclair (57213266191) ;Carreras, Giulia (57221176357) ;Carrero, Juan J. 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(58556411300) ;Chong, Bryan (57395645100) ;Chopra, Hitesh (57217071283) ;Choudhary, Rahul (56294625300) ;Chowdhury, Rajiv (58598205500) ;Chu, Dinh-Toi (56239816300) ;Chukwu, Isaac Sunday (57217204488) ;Chung, Eric (22952996300) ;Chung, Eunice (58652631100) ;Chung, Sheng-Chia (56008137900) ;Cini, Karly I. (56040960700) ;Clark, Cain C.T. (57190167735) ;Coberly, Kaleb (58139389800) ;Columbus, Alyssa (57222467769) ;Comfort, Haley (57218875721) ;Conde, Joao (56992468300) ;Conti, Sara (24329297700) ;Cortesi, Paolo Angelo (57200306512) ;Costa, Vera Marisa (17134373000) ;Cousin, Ewerton (57194620705) ;Cowden, Richard G. (56463772700) ;Criqui, Michael H. (57212369327) ;Cruz-Martins, Natália (57203415019) ;Culbreth, Garland T. (57996228700) ;Cullen, Patricia (57189515148) ;Cunningham, Matthew (57204558787) ;da Silva E Silva, Daniel (59553313200) ;Dadana, Sriharsha (57217635888) ;Dadras, Omid (57205721978) ;Dai, Zhaoli (55515212800) ;Dalal, Koustuv (23469128200) ;Dalli, Lachlan L. 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(57210717260) ;Desai, Hardik Dineshbhai (57218293291) ;Desai, Rupak (57188681812) ;Deuba, Keshab (55619379400) ;Devanbu, Vinoth Gnana Chellaiyan (55879226900) ;Dey, Sourav (58491196100) ;Dhali, Arkadeep (57221718408) ;Dhama, Kuldeep (6507396956) ;Dhimal, Mandira Lamichhane (57201374139) ;Dhimal, Meghnath (54941157300) ;Dhingra, Sameer (57363710300) ;Dias Da Silva, Diana (58328606700) ;Diaz, Daniel (56644152500) ;Dima, Adriana (57424551400) ;Ding, Delaney D. (57395549300) ;Dirac, M. Ashworth (57193092988) ;Dixit, Abhinav (8728401600) ;Dixit, Shilpi Gupta (23993802900) ;Do, Thanh Chi (58537658400) ;Do, Thao Huynh Phuong (58955491100) ;Do Prado, Camila Bruneli (57607953900) ;Dodangeh, Masoud (57212454106) ;Dokova, Klara Georgieva (57201523771) ;Dolecek, Christiane (35784177100) ;Dorsey, E Ray (57202594230) ;dos Santos, Wendel Mombaque (54949595500) ;Doshi, Rajkumar (57193926619) ;Doshmangir, Leila (44261140600) ;Douiri, Abdel (7801315826) ;Dowou, Robert Kokou (57220119787) ;Driscoll, Tim Robert (59518397300) ;Dsouza, Haneil Larson (55058745500) ;Dube, John (57356760200) ;Dumith, Samuel C. (16834520200) ;Dunachie, Susanna J. (57537262900) ;Duncan, Bruce B. (35476478500) ;Duraes, Andre Rodrigues (30867558600) ;Duraisamy, Senbagam (58956978800) ;Durojaiye, Oyewole Christopher (55297361600) ;Dutta, Sulagna (56673475300) ;Dzianach, Paulina Agnieszka (57209452587) ;Dziedzic, Arkadiusz Marian (56155198800) ;Ebenezer, Oluwakemi (57200231351) ;Eboreime, Ejemai (57094151100) ;Ebrahimi, Alireza (59785086900) ;Echieh, Chidiebere Peter (57205481781) ;Ed-Dra, Abdelaziz (56910293500) ;Edinur, Hisham Atan (57287676500) ;Edvardsson, David (35229255500) ;Edvardsson, Kristina (35179210100) ;Efendi, Defi (57201494445) ;Efendi, Ferry (55301269100) ;Eghdami, Shayan (57218302519) ;Eikemo, Terje Andreas (23110114800) ;Eini, Ebrahim (56031829700) ;Ekholuenetale, Michael (57189344745) ;Ekpor, Emmanuel (58116717600) ;Ekundayo, Temitope Cyrus (57204841448) ;El Arab, Rabie Adel (57204688079) ;El Morsi, Doaa Abdel Wahab (54974301100) ;El Sayed Zaki, Maysaa (57203666922) ;El Tantawi, Maha (57214851491) ;Elbarazi, Iffat (58509635500) ;Elemam, Noha Mousaad (56442766900) ;Elgar, Frank J. (6701638337) ;Elgendy, Islam Y. (56022050500) ;ElGohary, Ghada Metwally Tawfik (56198204500) ;Elhabashy, Hala Rashad (34869491800) ;Elhadi, Muhammed (57212082248) ;Elmeligy, Omar Abdelsadek Abdou (57194788994) ;Elshaer, Mohammed (57225739890) ;Elsohaby, Ibrahim (56401825200) ;Emami Zeydi, Amir (57200289298) ;Emamverdi, Mehdi (57216906536) ;Emeto, Theophilus I. (36522397000) ;Engelbert Bain, Luchuo (57210891921) ;Erkhembayar, Ryenchindorj (57218382117) ;Eshetie, Tesfahun C. (56165153100) ;Eskandarieh, Sharareh (57211720158) ;Espinosa-Montero, Juan (6505472664) ;Estep, Kara (57216550964) ;Etaee, Farshid (57193773903) ;Eze, Ugochukwu Anthony (57418955400) ;Fabin, Natalia (57218175196) ;Fadaka, Adewale Oluwaseun (57189054585) ;Fagbamigbe, Adeniyi Francis (50861113000) ;Fahimi, Saman (57216775706) ;Falzone, Luca (57057684700) ;Farinha, Carla Sofia E Sá (57211720063) ;Faris, MoezAlIslam Ezzat Mahmoud (57218603193) ;Farjoud Kouhanjani, Mohsen (57243857800) ;Faro, Andre (36770969600) ;Farrokhpour, Hossein (57210568865) ;Fatehizadeh, Ali (36782045000) ;Fattahi, Hamed (57205063113) ;Fauk, Nelsensius Klau (57070534400) ;Fazeli, Pooria (57221499221) ;Feigin, Valery L. (57203677957) ;Fekadu, Ginenus (57207252461) ;Fereshtehnejad, Seyed-Mohammad (57202557520) ;Feroze, Abdullah Hamid (47161109900) ;Ferrante, Daniela (14061883600) ;Ferrara, Pietro (58098198000) ;Ferreira, Nuno (36782210100) ;Fetensa, Getahun (57211853863) ;Filip, Irina (55570061400) ;Fischer, Florian (55508208800) ;Flavel, Joanne (57194398510) ;Flaxman, Abraham D. (57222562494) ;Flor, Luisa S. (54414102000) ;Florin, Bobirca Teodor (58956238900) ;Folayan, Morenike Oluwatoyin (56725310700) ;Foley, Kristen Marie (57205879071) ;Fomenkov, Artem Alekseevich (57218883661) ;Force, Lisa M. (57188548035) ;Fornari, Carla (15022250200) ;Foroutan, Behzad (15756767300) ;Foschi, Matteo (57192255295) ;Francis, Kate Louise (36448193500) ;Franklin, Richard Charles (7201428429) ;Freitas, Alberto (57217280282) ;Friedman, Joseph (57202895428) ;Friedman, Sara D. (57202023615) ;Fukumoto, Takeshi (26531100300) ;Fuller, John E. (57204565664) ;Gaal, Peter Andras (55966171600) ;Gadanya, Muktar A. (25957587400) ;Gaihre, Santosh (36503840700) ;Gaipov, Abduzhappar (54415462800) ;Gakidou, Emmanuela (57202567277) ;Galali, Yaseen (57217004520) ;Galehdar, Nasrin (57209140357) ;Gallus, Silvano (7005387365) ;Gan, Quan (58881981400) ;Gandhi, Aravind P. (57217858382) ;Ganesan, Balasankar (57191928063) ;Garg, Jalaj (55180056500) ;Gau, Shuo-Yan (57219157072) ;Gautam, Prem (57213605610) ;Gautam, Rupesh K. (55216656700) ;Gazzelloni, Federica (57605924800) ;Gebregergis, Miglas W. (58955738100) ;Gebrehiwot, Mesfin (57192100745) ;Gebremariam, Tesfay Brhane (57203847504) ;Gerema, Urge (57216249028) ;Getachew, Motuma Erena (57204617481) ;Getachew, Tamirat (57222387410) ;Gething, Peter W. (57193559189) ;Ghafourifard, Mansour (57193420915) ;Ghahramani, Sulmaz (55853938200) ;Ghailan, Khalid Yaser (57201443897) ;Ghajar, Alireza (56226089600) ;Ghanbarnia, Mohammad Javad (58020739200) ;Ghasemi, MohammadReza (57222125520) ;Ghasemzadeh, Afsaneh (57819541800) ;Ghassemi, Fariba (35271776100) ;Ghazy, Ramy Mohamed (57212085342) ;Ghimire, Sailaja (57192719907) ;Gholamian, Asadollah (55627535500) ;Gholamrezanezhad, Ali (10044363200) ;Ghorbani Vajargah, Pooyan (57761227600) ;Ghozali, Ghozali (57208279650) ;Ghozy, Sherief (55337839100) ;Ghuge, Arun Digambarrao (57193322557) ;Gialluisi, Alessandro (54784401100) ;Gibson, Ruth Margaret (58956239000) ;Gil, Artyom Urievich (58284852000) ;Gill, Paramjit Singh (7202766660) ;Gill, Tiffany K. (8545441900) ;Gillum, Richard F. (7103181331) ;Ginindza, Themba G. (24468039800) ;Girmay, Alem (59792305600) ;Glasbey, James C. (57195948986) ;Gnedovskaya, Elena V. 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(7201677665) ;Holla, Ramesh (55270371800) ;Horita, Nobuyuki (57217110823) ;Hossain, Md Belal (57965228600) ;Hossain, Md Mahbub (57207311791) ;Hossain, Sahadat (57188667199) ;Hosseini, Mohammad-Salar (57209828879) ;Hosseinzadeh, Hassan (55913030700) ;Hosseinzadeh, Mehdi (57201880569) ;Hostiuc, Mihaela (51763789200) ;Hostiuc, Sorin (24829099800) ;Hsairi, Mohamed (57209033943) ;Hsieh, Vivian Chia-Rong (55368127500) ;Hu, Chengxi (58956490200) ;Huang, Junjie (57199198962) ;Huda, Md Nazmul (57223109944) ;Hugo, Fernando N. (13403199800) ;Hultström, Michael (14070391700) ;Hussain, Javid (9535362000) ;Hussain, Salman (57193956545) ;Hussein, Nawfal R. (24766000100) ;Huy, Le Duc (57216329101) ;Huynh, Hong-Han (58260528100) ;Hwang, Bing-Fang (7201453928) ;Ibitoye, Segun Emmanuel (57212027408) ;Idowu, Oluwatope Olaniyi (57210320963) ;Ijo, Desta (58955493700) ;Ikuta, Kevin S. (57211541916) ;Ilaghi, Mehran (57217868170) ;Ilesanmi, Olayinka Stephen (54782692800) ;Ilic, Irena M. (57210823522) ;Ilic, Milena D. (7102981394) ;Immurana, Mustapha (57215875071) ;Inbaraj, Leeberk Raja (55988289600) ;Iradukunda, Arnaud (57352012300) ;Iravanpour, Farideh (57160265000) ;Iregbu, Kenneth Chukwuemeka (58283630000) ;Islam, Md Rabiul (57215057958) ;Islam, Mohammad Mainul (57217440465) ;Islam, Sheikh Mohammed Shariful (56400111100) ;Islami, Farhad (56926442900) ;Ismail, Nahlah Elkudssiah (57885381900) ;Isola, Gaetano (25825125500) ;Iwagami, Masao (54381883100) ;Iwu, Chidozie C.D. (57204657478) ;Iwu-Jaja, Chinwe Juliana (56904084900) ;Iyer, Mahalaxmi (57210437646) ;Merin, Linda (59150539100) ;Jaafari, Jalil (55531397900) ;Jacob, Louis (56779678900) ;Jacobsen, Kathryn H. (26029163100) ;Jadidi-Niaragh, Farhad (36024064100) ;Jafarinia, Morteza (57194211648) ;Jaggi, Khushleen (55324250800) ;Jahankhani, Kasra (58165039000) ;Jahanmehr, Nader (57203122718) ;Jahrami, Haitham (24391114300) ;Jain, Akhil (57225972689) ;Jain, Nityanand (57219123557) ;Jairoun, Ammar Abdulrahman (57208735762) ;Jakovljevic, Mihajlo (14318929700) ;Jalilzadeh Yengejeh, Reza (56105676800) ;Jamshidi, Elham (57217795317) ;Jani, Chinmay T. (57218651211) ;Janko, Mark M. (55793462900) ;Jatau, Abubakar Ibrahim (57193384550) ;Jayapal, Sathish Kumar (57202019648) ;Jayaram, Shubha (57221589240) ;Jeganathan, Jayakumar (55312958400) ;Jema, Alelign Tasew (57851400200) ;Jemere, Digisie Mequanint (58137462300) ;Jeong, Wonjeong (57211508210) ;Jha, Anil K. (57535867200) ;Jha, Ravi Prakash (58586863400) ;Ji, John S. (58562329500) ;Jiang, Heng (56149161900) ;Jin, Yingzhao (58069335700) ;Jin, Yinzi (57191524502) ;Johnson, Olatunji (57210825743) ;Jomehzadeh, Nabi (35995705400) ;Jones, Darwin Phan (57560852100) ;Joo, Tamas (57214777013) ;Joseph, Abel (58715051500) ;Joseph, Nitin (35292547200) ;Joshua, Charity Ehimwenma (58491197900) ;Jozwiak, Jacek Jerzy (21833993700) ;Jürisson, Mikk (55547524800) ;Kaambwa, Billingsley (25521610300) ;Kabir, Ali (23050698400) ;Kabir, Hannaneh (57223872668) ;Kabir, Zubair (57207901718) ;Kadashetti, Vidya (56724219200) ;Kahe, Farima (56916148900) ;Kakodkar, Pradnya Vishal (36652819200) ;Kalani, Rizwan (13006237100) ;Kalankesh, Leila R. (12796418600) ;Kaliyadan, Feroze (16836323500) ;Kalra, Sanjay (13408725200) ;Kamath, Ashwin (35724313100) ;Kamireddy, Arun (57719836700) ;Kanagasabai, Thanigaivelan (55485804500) ;Kandel, Himal (57226834655) ;Kanmiki, Edmund Wedam (56823634100) ;Kanmodi, Kehinde Kazeem (57193860523) ;Kantar, Rami S. (56719718400) ;Kapoor, Neeti (56340726700) ;Karajizadeh, Mehrdad (57193873986) ;Karami Matin, Behzad (56943457000) ;Karanth, Shama D. (57208742503) ;Karaye, Ibraheem M. (55598638900) ;Karim, Asima (57188657071) ;Karimi, Hanie (57801947200) ;Karimi, Salah Eddin (57218689006) ;Karimi Behnagh, Arman (57216816240) ;Karkhah, Samad (57219866571) ;Karna, Ajit K. (56872709600) ;Kashoo, Faizan Zaffar (57208602574) ;Kasraei, Hengameh (57194520224) ;Kassaw, Nigussie Assefa (57196473578) ;Kassebaum, Nicholas J. (57202562224) ;Kassel, Molly B. (58955990600) ;Katamreddy, Adarsh (57201662283) ;Katikireddi, Srinivasa Vittal (6508254091) ;Katoto, Patrick D.M.C. (57202776078) ;Kauppila, Joonas H. (37665210400) ;Kaur, Navjot (58344388100) ;Kaydi, Neda (55625515800) ;Kayibanda, Jeanne Françoise (57200737035) ;Kayode, Gbenga A. (53463867400) ;Kazemi, Foad (58881461600) ;Kazemian, Sina (57221397269) ;Kazeminia, Sara (58247837400) ;Keikavoosi-Arani, Leila (58630116900) ;Keller, Cathleen (57222513603) ;Kempen, John H. (57216598048) ;Kerr, Jessica A. (57194029225) ;Kesse-Guyot, Emmanuelle (35573782000) ;Keykhaei, Mohammad (57208162861) ;Khadembashiri, Mohamad Mehdi (58143191300) ;Khadembashiri, Mohammad Amin (57264573100) ;Khafaie, Morteza Abdullatif (55608324700) ;Khajuria, Himanshu (56639982500) ;Khalafi, Mohammad (57223613421) ;Khalaji, Amirmohammad (57801096100) ;Khalid, Nauman (57204561542) ;Khalil, Ibrahim A. (58255049500) ;Khamesipour, Faham (55236513800) ;Khan, Asaduzzaman (55256015300) ;Khan, Gulfaraz (6701635515) ;Khan, Ikramullah (57190277865) ;Khan, Imteyaz A. (57407078900) ;Khan, Moien A.B. (57209800900) ;Khan, Taimoor (58957217100) ;Khan Suheb, Mahammed Ziauddin (58283489900) ;Khanmohammadi, Shaghayegh (57216530776) ;Khatab, Khaled (27267685100) ;Khatami, Fatemeh (57211052301) ;Khavandegar, Armin (57224193632) ;Khayat Kashani, Hamid Reza (57132486000) ;Kheirallah, Khalid A. (47161432800) ;Khidri, Feriha Fatima (57210751376) ;Khodadoust, Elaheh (58283292700) ;Khormali, Moein (57193114653) ;Khosrowjerdi, Mahmood (35092543000) ;Khubchandani, Jagdish (57211720011) ;Khusun, Helda (6506676401) ;Kifle, Zemene Demelash (57216524881) ;Kim, Grace (57204812303) ;Kim, Jihee (59667876600) ;Kimokoti, Ruth W. (8647554600) ;Kinzel, Kasey E. (58189303600) ;Kiross, Girmay Tsegay (57928312200) ;Kisa, Adnan (6603346067) ;Kisa, Sezer (14030019900) ;Kiss, Juniper Boroka (59553865300) ;Kivimäki, Mika (57218590862) ;Klu, Desmond (57221601931) ;Knudsen, Ann Kristin Skrindo (57192966362) ;Kolahi, Ali-Asghar (24331775400) ;Kompani, Farzad (56071483000) ;Koren, Gerbrand (57204166652) ;Kosen, Soewarta (57211346192) ;Kostev, Karel (25637745400) ;Kotnis, Ashwin Laxmikant (8870030200) ;Koul, Parvaiz A. (58944144000) ;Koulmane Laxminarayana, Sindhura Lakshmi (57196152832) ;Koyanagi, Ai (59269920500) ;Kravchenko, Michael A. (57202569007) ;Krishan, Kewal (57202279708) ;Krishna, Hare (57214019429) ;Krishnamoorthy, Vijay (36890481900) ;Krishnamoorthy, Yuvaraj (50461872200) ;Krohn, Kris J. (57194138806) ;Kuate Defo, Barthelemy (6602271655) ;Kubeisy, Connor M. (58955740600) ;Kucuk Bicer, Burcu (57204528360) ;Kuddus, Md Abdul (59471271200) ;Kuddus, Mohammed (8596487800) ;Kuitunen, Ilari (57189581253) ;Kujan, Omar (8889097500) ;Kulimbet, Mukhtar (57288600700) ;Kulkarni, Vishnutheertha (58587146700) ;Kumar, Ashish (59311506700) ;Kumar, Harish (59089763100) ;Kumar, Nithin (36678889900) ;Kumar, Rahul (57750022900) ;Kumar, Shiv (57213856169) ;Kumari, Madhulata (56597592700) ;Kurmanova, Almagul (56896046600) ;Kurmi, Om P. (57219034567) ;Kusnali, Asep (57947961700) ;Kusuma, Dian (57190047530) ;Kutluk, Tezer (20934856000) ;Kuttikkattu, Ambily (57860475200) ;Kyei, Evans F. (57214818508) ;Kyriopoulos, Ilias (6504795889) ;La Vecchia, Carlo (36063266200) ;Ladan, Muhammad Awwal (57201721917) ;Laflamme, Lucie (7005939330) ;Lahariya, Chandrakant (13205447400) ;Lahmar, Abdelilah (57866356300) ;Lai, Daphne Teck Ching (59553448200) ;Laksono, Tri (58537561100) ;Lal, Dharmesh Kumar (57222488984) ;Lalloo, Ratilal (57189334553) ;Lallukka, Tea (6508300634) ;Lám, Judit (7201973410) ;Lamnisos, Demetris (54404766700) ;Lan, Tuo (57218329495) ;Lanfranchi, Francesco (57196456066) ;Langguth, Berthold (6602352583) ;Lansingh, Van Charles (57209471470) ;Laplante-Lévesque, Ariane (6506488140) ;Larijani, Bagher (57205307740) ;Larsson, Anders O. (56381985300) ;Lasrado, Savita (36632480900) ;Latief, Kamaluddin (26428870800) ;Latif, Mahrukh (58142528000) ;Latifinaibin, Kaveh (58957217400) ;Lauriola, Paolo (7004129174) ;Le, Long Khanh Dao (57873296500) ;Le, Nhi Huu Hanh (57225941904) ;Le, Thao Thi Thu (57736182100) ;Le, Trang Diep Thanh (58955740800) ;Lee, Munjae (58964400000) ;Lee, Paul H. (57200302692) ;Lee, Sang-Woong (57193130569) ;Lee, Seung Won (57223118056) ;Lee, Wei-Chen (57394248700) ;Lee, Yo Han (57193632340) ;Legesse, Samson Mideksa (57562395800) ;Leigh, James (22957414600) ;Lenzi, Jacopo (57200000691) ;Leong, Elvynna (56462346200) ;Lerango, Temesgen L. (58124758800) ;Li, Ming-Chieh (56144176300) ;Li, Wei (59638602600) ;Li, Xiaopan (54389570600) ;Li, Yichong (57218426673) ;Li, Zhihui (56346333300) ;Libra, Massimo (6603852432) ;Ligade, Virendra S. (15769728900) ;Likaka, Andrew Tiyamike Makhiringa (55151159300) ;Lim, Lee-Ling (56988527400) ;Lin, Ro-Ting (15123000400) ;Lin, Shuzhi (57397981100) ;Lioutas, Vasileios-Arsenios (36114439100) ;Listl, Stefan (35759488300) ;Liu, Jue (56797105100) ;Liu, Simin (58636394800) ;Liu, Xiaofeng (57193764777) ;Livingstone, Katherine M. (55466317400) ;Llanaj, Erand (57204154387) ;Lo, Chun-Han (57216207024) ;Loreche, Arianna Maever (58094114300) ;Lorenzovici, László (57200941835) ;Lotfi, Mojgan (37109768200) ;Lotfizadeh, Masoud (55853761600) ;Lozano, Rafael (57570224000) ;Lubinda, Jailos (56700387300) ;Lucchetti, Giancarlo (35790096500) ;Lugo, Alessandra (55227636600) ;Lunevicius, Raimundas (57216165063) ;Ma, Jianing (58040920000)Ma, Stefan (7403723389)Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. Funding: Bill & Melinda Gates Foundation. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license - Some of the metrics are blocked by yourconsent settings
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(57195258843) ;Wolde, Asrat Arja (57226497047) ;Wozniak, Teresa M. (10540392000) ;Wu, Felicia (55700782200) ;Wu, Zenghong (57208700583) ;Yadav, Mukesh Kumar Kumar (7102892913) ;Yaghoubi, Sajad (57194285048) ;Yahaya, Zwanden Sule (57196374777) ;Yarahmadi, Amir (57194976053) ;Yezli, Saber (35996197300) ;Yismaw, Yazachew Engida (57217253497) ;Yon, Dong Keon (57193675906) ;Yuan, Chun-Wei (57205704701) ;Yusuf, Hadiza (57191630259) ;Zakham, Fathiah (37064030100) ;Zamagni, Giulia (57303993500) ;Zhang, Haijun (59340699800) ;Zhang, Zhi-Jiang (56068578400) ;Zielińska, Magdalena (58491440100) ;Zumla, Alimuddin (7006170723) ;Zyoud, Sa’ed H.H. (58486874500) ;Zyoud, Samer H. (57220556938) ;Hay, Simon I. (7101875313) ;Stergachis, Andy (7006802396) ;Sartorius, Benn (12788526800) ;Cooper, Ben S. (7401623515) ;Dolecek, Christiane (35784177100)Murray, Christopher J.L. (57224556036)Background: Antimicrobial resistance (AMR) poses an important global health challenge in the 21st century. A previous study has quantified the global and regional burden of AMR for 2019, followed with additional publications that provided more detailed estimates for several WHO regions by country. To date, there have been no studies that produce comprehensive estimates of AMR burden across locations that encompass historical trends and future forecasts. Methods: We estimated all-age and age-specific deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 22 pathogens, 84 pathogen–drug combinations, and 11 infectious syndromes in 204 countries and territories from 1990 to 2021. We collected and used multiple cause of death data, hospital discharge data, microbiology data, literature studies, single drug resistance profiles, pharmaceutical sales, antibiotic use surveys, mortality surveillance, linkage data, outpatient and inpatient insurance claims data, and previously published data, covering 520 million individual records or isolates and 19 513 study-location-years. We used statistical modelling to produce estimates of AMR burden for all locations, including those with no data. Our approach leverages the estimation of five broad component quantities: the number of deaths involving sepsis; the proportion of infectious deaths attributable to a given infectious syndrome; the proportion of infectious syndrome deaths attributable to a given pathogen; the percentage of a given pathogen resistant to an antibiotic of interest; and the excess risk of death or duration of an infection associated with this resistance. Using these components, we estimated disease burden attributable to and associated with AMR, which we define based on two counterfactuals; respectively, an alternative scenario in which all drug-resistant infections are replaced by drug-susceptible infections, and an alternative scenario in which all drug-resistant infections were replaced by no infection. Additionally, we produced global and regional forecasts of AMR burden until 2050 for three scenarios: a reference scenario that is a probabilistic forecast of the most likely future; a Gram-negative drug scenario that assumes future drug development that targets Gram-negative pathogens; and a better care scenario that assumes future improvements in health-care quality and access to appropriate antimicrobials. We present final estimates aggregated to the global, super-regional, and regional level. Findings: In 2021, we estimated 4·71 million (95% UI 4·23–5·19) deaths were associated with bacterial AMR, including 1·14 million (1·00–1·28) deaths attributable to bacterial AMR. Trends in AMR mortality over the past 31 years varied substantially by age and location. From 1990 to 2021, deaths from AMR decreased by more than 50% among children younger than 5 years yet increased by over 80% for adults 70 years and older. AMR mortality decreased for children younger than 5 years in all super-regions, whereas AMR mortality in people 5 years and older increased in all super-regions. For both deaths associated with and deaths attributable to AMR, meticillin-resistant Staphylococcus aureus increased the most globally (from 261 000 associated deaths [95% UI 150 000–372 000] and 57 200 attributable deaths [34 100–80 300] in 1990, to 550 000 associated deaths [500 000–600 000] and 130 000 attributable deaths [113 000–146 000] in 2021). Among Gram-negative bacteria, resistance to carbapenems increased more than any other antibiotic class, rising from 619 000 associated deaths (405 000–834 000) in 1990, to 1·03 million associated deaths (909 000–1·16 million) in 2021, and from 127 000 attributable deaths (82 100–171 000) in 1990, to 216 000 (168 000–264 000) attributable deaths in 2021. There was a notable decrease in non-COVID-related infectious disease in 2020 and 2021. Our forecasts show that an estimated 1·91 million (1·56–2·26) deaths attributable to AMR and 8·22 million (6·85–9·65) deaths associated with AMR could occur globally in 2050. Super-regions with the highest all-age AMR mortality rate in 2050 are forecasted to be south Asia and Latin America and the Caribbean. Increases in deaths attributable to AMR will be largest among those 70 years and older (65·9% [61·2–69·8] of all-age deaths attributable to AMR in 2050). In stark contrast to the strong increase in number of deaths due to AMR of 69·6% (51·5–89·2) from 2022 to 2050, the number of DALYs showed a much smaller increase of 9·4% (–6·9 to 29·0) to 46·5 million (37·7 to 57·3) in 2050. Under the better care scenario, across all age groups, 92·0 million deaths (82·8–102·0) could be cumulatively averted between 2025 and 2050, through better care of severe infections and improved access to antibiotics, and under the Gram-negative drug scenario, 11·1 million AMR deaths (9·08–13·2) could be averted through the development of a Gram-negative drug pipeline to prevent AMR deaths. Interpretation: This study presents the first comprehensive assessment of the global burden of AMR from 1990 to 2021, with results forecasted until 2050. Evaluating changing trends in AMR mortality across time and location is necessary to understand how this important global health threat is developing and prepares us to make informed decisions regarding interventions. Our findings show the importance of infection prevention, as shown by the reduction of AMR deaths in those younger than 5 years. Simultaneously, our results underscore the concerning trend of AMR burden among those older than 70 years, alongside a rapidly ageing global community. The opposing trends in the burden of AMR deaths between younger and older individuals explains the moderate future increase in global number of DALYs versus number of deaths. Given the high variability of AMR burden by location and age, it is important that interventions combine infection prevention, vaccination, minimisation of inappropriate antibiotic use in farming and humans, and research into new antibiotics to mitigate the number of AMR deaths that are forecasted for 2050. Funding: UK Department of Health and Social Care's Fleming Fund using UK aid, and the Wellcome Trust. © 2024 The Author(s). Published by Elsevier Ltd. 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(58518431400) ;Odogwu, Nkechi Martina (57218923845) ;O'Donnell, Martin James (57210591242) ;Odukoya, Oluwakemi Ololade (55356642300) ;Oguntade, Ayodipupo Sikiru (57194328445) ;Oguta, James Odhiambo (57218948901) ;Oh, In-Hwan (57204090669) ;Okeke, Sylvester Reuben (57200939187) ;Okekunle, Akinkunmi Paul (56668691000) ;Okonji, Osaretin Christabel (57222864302) ;Okwute, Patrick Godwin (58492412800) ;Olagunju, Andrew T. (26029995700) ;Olasupo, Omotola O. (57204397262) ;Olatubi, Matthew Idowu (57200278115) ;Oliveira, Glaucia Maria Moraes (6505822894) ;Olusanya, Bolajoko Olubukunola (57218504682) ;Olusanya, Jacob Olusegun (57222488860) ;Oluwatunase, Gideon Olamilekan (58956741600) ;Omar, Hany A. (35213612000) ;Omer, Goran Latif (57933555400) ;Onwujekwe, Obinna E. (7003992855) ;Ordak, Michal (55992015900) ;Orisakwe, Orish Ebere (7003998930) ;Orish, Verner N. (55253440500) ;Ortega-Altamirano, Doris V. (6505938824) ;Ortiz, Alberto (7201911399) ;Ortiz-Prado, Esteban (56037076100) ;Osman, Wael M.S. (57195344402) ;Osuagwu, Uchechukwu Levi (46062324800) ;Osuolale, Olayinka (56695376300) ;Otoiu, Adrian (56375694100) ;Otstavnov, Stanislav S. (57204561394) ;Ouyahia, Amel (36499964800) ;Ouyang, Guoqing (57188654592) ;Owolabi, Mayowa O. (57222581892) ;Ozten, Yaz (57842405200) ;Mahesh Padukudru, P.A. (57195664371) ;Fallahy, Mohammad Taha Pahlevan (57224307689) ;Pan, Feng (57220873446) ;Pan, Hai-Feng (35234356200) ;Pana, Adrian (57191837583)Panda, Paramjot (59078159400)Background: Accurate assessments of current and future fertility—including overall trends and changing population age structures across countries and regions—are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. Methods: To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10–54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values—a metric assessing gain in forecasting accuracy—by comparing predicted versus observed ASFRs from the past 15 years (2007–21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. Findings: During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63–5·06) to 2·23 (2·09–2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137–147), declining to 129 million (121–138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1—canonically considered replacement-level fertility—in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7–29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59–2·08) in 2050 and 1·59 (1·25–1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6–43·1) in 2050 and 54·3% (47·1–59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions—decreasing, for example, in south Asia from 24·8% (23·7–25·8) in 2021 to 16·7% (14·3–19·1) in 2050 and 7·1% (4·4–10·1) in 2100—but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40–1·92) in 2050 and 1·62 (1·35–1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. Interpretation: Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. Funding: Bill & Melinda Gates Foundation. © 2024 The Author(s). Published by Elsevier Ltd. 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(56804702100) ;Vijayakumar, Lakshmi (57202973343) ;Villalpando, Salvador (7005159171) ;Violante, Francesco S. (7003555890) ;Vlassov, Vasiliy Victorovich (57211633239) ;Wagner, Gregory R. (57219005948) ;Waller, Stephen G. (57201445180) ;Wang, Jian Li (9250575900) ;Wang, Linhong (57303731300) ;Wang, XiaoRong (59881699400) ;Wang, Yanping (57215440165) ;Warouw, Tati Suryati (57202569029) ;Weichenthal, Scott (57202555239) ;Weiderpass, Elisabete (57205018947) ;Weintraub, Robert G. (7006079405) ;Wenzhi, Wang (57193892187) ;Werdecker, Andrea (57208964895) ;Wessells, K. Ryan R. (22936372700) ;Westerman, Ronny (57218361023) ;Whiteford, Harvey A. (55906494000) ;Wilkinson, James D. (57207903571) ;Williams, Thomas Neil (35430527200) ;Woldeyohannes, Solomon Meseret (57195461619) ;Wolfe, Charles D.A. (57202754705) ;Wolock, Timothy M. (57210784314) ;Woolf, Anthony D. (7102882171) ;Wong, John Q. (56491997300) ;Wright, Jonathan L. 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(56541894900)Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included the addition of more recent vital registration data for 72 countries, an updated verbal autopsy literature review, two new and detailed data systems for China, and more detail for Mexico, UK, Turkey, and Russia. We improved statistical models for garbage code redistribution. We used six different modelling strategies across the 240 causes; cause of death ensemble modelling (CODEm) was the dominant strategy for causes with sufficient information. Trends for Alzheimer's disease and other dementias were informed by meta-regression of prevalence studies. For pathogen-specific causes of diarrhoea and lower respiratory infections we used a counterfactual approach. We computed two measures of convergence (inequality) across countries: the average relative difference across all pairs of countries (Gini coefficient) and the average absolute difference across countries. To summarise broad findings, we used multiple decrement life-tables to decompose probabilities of death from birth to exact age 15 years, from exact age 15 years to exact age 50 years, and from exact age 50 years to exact age 75 years, and life expectancy at birth into major causes. For all quantities reported, we computed 95% uncertainty intervals (UIs). We constrained cause-specific fractions within each age-sex-country-year group to sum to all-cause mortality based on draws from the uncertainty distributions. Findings Global life expectancy for both sexes increased from 65·3 years (UI 65·0-65·6) in 1990, to 71·5 years (UI 71·0-71·9) in 2013, while the number of deaths increased from 47·5 million (UI 46·8-48·2) to 54·9 million (UI 53·6-56·3) over the same interval. Global progress masked variation by age and sex: for children, average absolute differences between countries decreased but relative differences increased. For women aged 25-39 years and older than 75 years and for men aged 20-49 years and 65 years and older, both absolute and relative differences increased. Decomposition of global and regional life expectancy showed the prominent role of reductions in age-standardised death rates for cardiovascular diseases and cancers in high-income regions, and reductions in child deaths from diarrhoea, lower respiratory infections, and neonatal causes in low-income regions. HIV/AIDS reduced life expectancy in southern sub-Saharan Africa. For most communicable causes of death both numbers of deaths and age-standardised death rates fell whereas for most non-communicable causes, demographic shifts have increased numbers of deaths but decreased age-standardised death rates. Global deaths from injury increased by 10·7%, from 4·3 million deaths in 1990 to 4·8 million in 2013; but age-standardised rates declined over the same period by 21%. For some causes of more than 100 000 deaths per year in 2013, age-standardised death rates increased between 1990 and 2013, including HIV/AIDS, pancreatic cancer, atrial fibrillation and flutter, drug use disorders, diabetes, chronic kidney disease, and sickle-cell anaemias. Diarrhoeal diseases, lower respiratory infections, neonatal causes, and malaria are still in the top five causes of death in children younger than 5 years. The most important pathogens are rotavirus for diarrhoea and pneumococcus for lower respiratory infections. Country-specific probabilities of death over three phases of life were substantially varied between and within regions. Interpretation For most countries, the general pattern of reductions in age-sex specific mortality has been associated with a progressive shift towards a larger share of the remaining deaths caused by non-communicable disease and injuries. Assessing epidemiological convergence across countries depends on whether an absolute or relative measure of inequality is used. Nevertheless, age-standardised death rates for seven substantial causes are increasing, suggesting the potential for reversals in some countries. Important gaps exist in the empirical data for cause of death estimates for some countries; for example, no national data for India are available for the past decade. Funding Bill & Melinda Gates Foundation. © 2015 Elsevier Ltd. - Some of the metrics are blocked by yourconsent settings
Publication Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021(2025) ;Sirota, Sarah Brooke (57222625302) ;Doxey, Matthew C. (57210408930) ;Dominguez, Regina-Mae Villanueva (57861613300) ;Bender, Rose Grace (57219860604) ;Vongpradith, Avina (57216661011) ;Albertson, Samuel B. 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Z. (58418436300) ;Zare, Iman (57224488480) ;Zarimeidani, Fatemeh (59126687900) ;Zastrozhin, Michael (56728932200) ;Zhai, Chunxia (57896169500) ;Zhang, Haijun (57217088114) ;Zhang, Zhi-Jiang (56068578400) ;Zhao, Yang (58957226600) ;Zhou, Juexiao (57215684427) ;Zia, Hafsa (59628039200) ;Zielinska, Magdalena (58491440100) ;Zoladl, Mohammad (53980736300) ;Zyoud, Samer H. (57220556938) ;Aravkin, Aleksandr Y. (35386103000) ;Kassebaum, Nicholas J. (57202562224) ;Naghavi, Mohsen (59116090300) ;Vos, Theo (57223885848) ;Hay, Simon I. (7101875313) ;Murray, Christopher J. L. (57224556036)Kyu, Hmwe Hmwe (57217040073)Background: Upper respiratory infections (URIs) are the leading cause of acute disease incidence worldwide and contribute to a substantial health-care burden. Although acute otitis media is a common complication of URIs, the combined global burden of URIs and otitis media has not been studied comprehensively. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to explore the fatal and non-fatal burden of the two diseases across all age groups, including a granular analysis of children younger than 5 years, in 204 countries and territories from 1990 to 2021. Methods: Mortality due to URIs and otitis media was estimated with use of vital registration and sample-based vital registration data, which are used as inputs to the Cause of Death Ensemble model to separately model URIs and otitis media mortality by age and sex. Morbidity was modelled with a Bayesian meta-regression tool using data from published studies identified via systematic reviews, population-based survey data, and cause-specific URI and otitis media mortality estimates. Additionally, we assessed and compared the burden of otitis media as it relates to URIs and examined the collective burden and contributing risk factors of both diseases. Findings: The global number of new episodes of URIs was 12·8 billion (95% uncertainty interval 11·4 to 14·5) for all ages across males and females in 2021. The global all-age incidence rate of URIs decreased by 10·1% (–12·0 to –8·1) from 1990 to 2019. From 2019 to 2021, the global all-age incidence rate fell by 0·5% (–0·8 to –0·1). Globally, the incidence rate of URIs was 162 484·8 per 100 000 population (144 834·0 to 183 289·4) in 2021, a decrease of 10·5% (–12·4 to –8·4) from 1990, when the incidence rate was 181 552·5 per 100 000 population (160 827·4 to 206 214·7). The highest incidence rates of URIs were seen in children younger than 2 years in 2021, and the largest number of episodes was in children aged 5–9 years. The number of new episodes of otitis media globally for all ages was 391 million (292 to 525) in 2021. The global incidence rate of otitis media was 4958·9 per 100 000 (3705·4 to 6658·6) in 2021, a decrease of 16·3% (–18·1 to –14·0) from 1990, when the incidence rate was 5925·5 per 100 000 (4371·8 to 8097·9). The incidence rate of otitis media in 2021 was highest in children younger than 2 years, and the largest number of episodes was in children aged 2–4 years. The mortality rate of URIs in 2021 was 0·2 per 100 000 (0·1 to 0·5), a decrease of 64·2% (–84·6 to –43·4) from 1990, when the mortality rate was 0·7 per 100 000 (0·2 to 1·1). In both 1990 and 2021, the mortality rate of otitis media was less than 0·1 per 100 000. Together, the combined burden accounted for by URIs and otitis media in 2021 was 6·86 million (4·24 to 10·4) years lived with disability and 8·16 million (4·99 to 12·0) disability-adjusted life-years (DALYs) for all ages across males and females. Globally, the all-age DALY rate of URIs and otitis media combined in 2021 was 103 per 100 000 (63 to 152). Infants aged 1–5 months had the highest combined DALY rate in 2021 (647 per 100 000 [189 to 1412]), followed by early neonates (aged 0–6 days; 582 per 100 000 [176 to 1297]) and late neonates (aged 7–24 days; 482 per 100 000 [161 to 1052]). Interpretation: The findings of this study highlight the widespread burden posed by URIs and otitis media across all age groups and both sexes. There is a continued need for surveillance, prevention, and management to better understand and reduce the burden associated with URIs and otitis media, and research is needed to assess their impacts on individuals, communities, economies, and health-care systems worldwide. Funding: Bill & Melinda Gates Foundation. © 2025 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license - Some of the metrics are blocked by yourconsent settings
Publication Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition(2015) ;Murray, Christopher J. L. (57224556036) ;Barber, Ryan M. (57202560423) ;Foreman, Kyle J. (57209064414) ;Ozgoren, Ayse Abbasoglu (59158236200) ;Abd-Allah, Foad (36503428900) ;Abera, Semaw F. (57205180598) ;Aboyans, Victor (56214736500) ;Abraham, Jerry P. (57203894879) ;Abubakar, Ibrahim (57220174401) ;Abu-Raddad, Laith J. (14032724700) ;Abu-Rmeileh, Niveen M. (57216675148) ;Achoki, Tom (57202561099) ;Ackerman, Ilana N. (8925517400) ;Ademi, Zanfina (32867460300) ;Adou, Arsène K. (56531895000) ;Adsuar, José C. (21738958900) ;Afshin, Ashkan (57217465455) ;Agardh, Emilie E. (57202373873) ;Alam, Sayed Saidul (56809534300) ;Alasfoor, Deena (57211114684) ;Albittar, Mohammed I. (56276571900) ;Alegretti, Miguel A. (56276408300) ;Alemu, Zewdie A. 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(7401455668)Vos, Theo (57223885848)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. © 2015 Elsevier Ltd. - Some of the metrics are blocked by yourconsent settings
Publication Global, regional, and national stillbirths at 20 weeks' gestation or longer in 204 countries and territories, 1990–2021: findings from the Global Burden of Disease Study 2021(2024) ;Comfort, Haley (57218875721) ;McHugh, Theresa A. (58189613000) ;Schumacher, Austin E. (57209276410) ;Harris, Ashley (59408873000) ;May, Erin A. (57219861462) ;Paulson, Katherine R. (57203437789) ;Gardner, William M. (57204566870) ;Fuller, John E. (57204565664) ;Frisch, Meghan E. (57559972500) ;Taylor, Heather Jean (57204184856) ;Leever, Andrew T. 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(7101875313) ;Naghavi, Mohsen (59116090300) ;Murray, Christopher J. L. (57224556036) ;Dandona, Rakhi (57203043697)Kassebaum, Nicholas J. (57202562224)Background: Stillbirth is a devastating and often avoidable adverse pregnancy outcome. Monitoring stillbirth levels and trends—in a comprehensive manner that leaves no one uncounted—is imperative for continuing progress in pregnancy loss reduction. This analysis, completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, methodically accounted for different stillbirth definitions with the aim of comprehensively estimating all stillbirths at 20 weeks or longer for 204 countries and territories from 1990 to 2021. Methods: We extracted data on stillbirths from 11 412 sources across 185 of 204 countries and territories, including 234 surveys, 231 published studies, 1633 vital statistics reports, and 10 585 unique location-year combinations from vital registration systems. Our final dataset comprised 11 different definitions, which were adjusted to match two gestational age thresholds: 20 weeks or longer (reference) and 28 weeks or longer (for comparisons). We modelled the ratio of stillbirth rate to neonatal mortality rate with spatiotemporal Gaussian process regression for each location and year, and then used final GBD 2021 assessments of fertility and all-cause neonatal mortality to calculate total stillbirths. Secondary analyses evaluated the number of stillbirths missed with the more restrictive gestational age definition, trends in stillbirths as a function of Socio-demographic Index, and progress in reducing stillbirths relative to neonatal deaths. Findings: In 2021, the global stillbirth rate was 23·0 (95% uncertainty interval [UI] 19·7–27·2) per 1000 births (stillbirths plus livebirths) at 20 weeks' gestation or longer, compared to 16·1 (13·9–19·0) per 1000 births at 28 weeks' gestation or longer. The global neonatal mortality rate in 2021 was 17·1 (14·8–19·9) per 1000 livebirths, corresponding to 2·19 million (1·90–2·55) neonatal deaths. The estimated number of stillbirths occurring at 20 weeks' gestation or longer decreased from 5·08 million (95% UI 4·07–6·35) in 1990 to 3·04 million (2·61–3·62) in 2021, corresponding to a 39·8% (31·8–48·0) reduction, which lagged behind a global improvement in neonatal deaths of 45·6% (36·3–53·1) for the same period (down from 4·03 million [3·86–4·22] neonatal deaths in 1990). Stillbirths in south Asia and sub-Saharan Africa comprised 77·4% (2·35 million of 3·04 million) of the global total, an increase from 60·3% (3·07 million of 5·08 million) in 1990. In 2021, 0·926 million (0·792–1·10) stillbirths, corresponding to 30·5% of the global total (3·04 million), occurred between 20 weeks' gestation and 28 weeks' gestation, with substantial variation at the country level. Interpretation: Despite the gradual global decline in stillbirths between 1990 and 2021, the overall number of stillbirths remains substantially high. Counting all stillbirths is paramount to progress, as nearly a third—close to 1 million in total—are left uncounted at the 28 weeks or longer threshold. Our findings draw attention to the differential progress in reducing stillbirths, with a high burden concentrated in countries with low development status. Scarce data availability and poor data quality constrain our capacity to precisely account for stillbirths in many locations. Addressing inequities in universal maternal health coverage, strengthening the quality of maternal health care, and improving the robustness of data systems are urgently needed to reduce the global burden of stillbirths. Funding: Bill & Melinda Gates Foundation. © 2024 The Author(s). Published by Elsevier Ltd. 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(57198311895) ;Yano, Yuichiro (57196965200) ;Yaseri, Mehdi (23029507000) ;Yimer, Nigus Bililign (57216264444) ;Yin, Peng (7103219312) ;Yip, Paul (7102503720) ;Yirsaw, Biruck Desalegn (49664327400) ;Yonemoto, Naohiro (57204947657) ;Yonga, Gerald (57203907041) ;Yoon, Seok-Jun (24823148900) ;Yotebieng, Marcel (26325950800) ;Younis, Mustafa Z. (8549393000) ;Yu, Chuanhua (57201889726) ;Zadnik, Vesna (57202975428) ;Zaidi, Zoubida (57197376721) ;El Sayed Zaki, Maysaa (57203666922) ;Zaman, Sojib Bin (57193070058) ;Zamani, Mohammad (57096222300) ;Zenebe, Zerihun Menlkalew (57200737185) ;Zhou, Maigeng (57054557200) ;Zhu, Jun (56215097100) ;Zimsen, Stephanie R.M. (57196078433) ;Zipkin, Ben (57200737130) ;Zodpey, Sanjay (7003415080) ;Zuhlke, Liesl Joanna (57209027746) ;Murray, Christopher J.L. (55481130700)Lozano, Rafael (7102198442)Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle- SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view - and subsequent provision - of quality health care for all populations. Copyright © 2018 The Author(s). Published by Elsevier Ltd.
