Browsing by Author "Aali, Amirali (57819452000)"
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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. 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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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(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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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
Publication Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021(2024) ;Naghavi, Mohsen (57207906323) ;Ong, Kanyin Liane (57210793447) ;Aali, Amirali (57819452000) ;Ababneh, Hazim S. 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(57218494494) ;Kansal, Sushil Kumar (8636613600) ;Kantar, Rami S. (56719718400) ;Kapoor, Neeti (56340726700) ;Karajizadeh, Mehrdad (57193873986) ;Karanth, Shama D. (57208742503) ;Karasneh, Reema A. (56646408100) ;Karaye, Ibraheem M. (55598638900) ;Karch, Andre (55917217700) ;Karim, Asima (57188657071) ;Karimi, Salah Eddin (57218689006) ;Karimi Behnagh, Arman (57216816240) ;Kashoo, Faizan Zaffar (57208602574) ;Kasnazani, Qalandar Hussein Abdulkarim (58978104300) ;Kasraei, Hengameh (57194520224) ;Kassebaum, Nicholas J. (57202562224) ;Kassel, Molly B. (58955990600) ;Kauppila, Joonas H. (37665210400) ;Kaur, Navjot (58344388100) ;Kawakami, Norito (35377339000) ;Kayode, Gbenga A. (53463867400) ;Kazemi, Foad (58881461600) ;Kazemian, Sina (57221397269) ;Kazmi, Tahseen Haider (6505942101) ;Kebebew, Getu Mosisa (57216873426) ;Kebede, Adera Debella (57791289500) ;Kebede, Fassikaw (57218606802) ;Keflie, Tibebeselassie S. (56868565700) ;Keiyoro, Peter Njenga (57203177260) ;Keller, Cathleen (57222513603) ;Kelly, Jaimon Terence (57020468500) ;Kempen, John H. (57216598048) ;Kerr, Jessica A. (57194029225) ;Kesse-Guyot, Emmanuelle (35573782000) ;Khajuria, Himanshu (56639982500) ;Khalaji, Amirmohammad (57801096100) ;Khalid, Nauman (57204561542) ;Khalil, Anees Ahmed (57189730703) ;Khalilian, Alireza (59357174700) ;Khamesipour, Faham (55236513800) ;Khan, Ajmal (35783172300) ;Khan, Asaduzzaman (55256015300) ;Khan, Gulfaraz (6701635515) ;Khan, Ikramullah (57190277865) ;Khan, Imteyaz A. (57407078900) ;Khan, M. Nuruzzaman (58821087600) ;Khan, Mohammad Jobair (57298003900) ;Khan, Moien Ab (57209800900) ;Khan, Zeeshan Ali (58977837900) ;Khan Suheb, Mahammed Ziauddin (58283489900)Khanmohammadi, Shaghayegh (57216530776)Background: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality—which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. Findings: The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2–100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1–290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1–211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4–48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3–37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7–9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. Interpretation: Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. 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
Publication Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019(2023) ;Momtazmanesh, Sara (57212649454) ;Moghaddam, Sahar Saeedi (57218160157) ;Ghamari, Seyyed-Hadi (57207567632) ;Rad, Elaheh Malakan (55105272200) ;Rezaei, Negar (57218820767) ;Shobeiri, Parnian (57218601156) ;Aali, Amirali (57819452000) ;Abbasi-Kangevari, Mohsen (57193543882) ;Abbasi-Kangevari, Zeinab (57441432300) ;Abdelmasseh, Michael (57356690000) ;Abdoun, Meriem (20336514800) ;Abdulah, Deldar Morad (57200190808) ;Md Abdullah, Abu Yousuf (58284664400) ;Abedi, Aidin (56673854800) ;Abolhassani, Hassan (58597704600) ;Abrehdari-Tafreshi, Zahra (56018854900) ;Achappa, Basavaprabhu (54580534500) ;Adane, Denberu Eshetie Adane (57820153000) ;Adane, Tigist Demssew (57219700847) ;Addo, Isaac Yeboah (56305995900) ;Adnan, Mohammad (57820493100) ;Adnani, Qorinah Estiningtyas Sakilah (57211604149) ;Ahmad, Sajjad (57218961022) ;Ahmadi, Ali (57193998515) 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(57202421244) ;Padron-Monedero, Alicia (56532107100) ;Padubidri, Jagadish Rao (58295062300) ;Fallahy, Mohammad Taha Pahlevan (57224307689) ;Palicz, Tamás (57218865382) ;Pana, Adrian (57191837583) ;Park, Eun-Kee (57216814178) ;Patel, Jay (59222700400) ;Paudel, Rajan (55646896300) ;Paudel, Uttam (56600660600) ;Pedersini, Paolo (57202983547) ;Pereira, Marcos (56073937400) ;Pereira, Renato B (55802371953) ;Petcu, Ionela-Roxana (57094897500) ;Pirestani, Majid (24176306700) ;Postma, Maarten J (7006296502) ;Prashant, Akila (16040597000) ;Rabiee, Mohammad (57201008317) ;Radfar, Amir (57215049222) ;Rafiei, Sima (35334981100) ;Rahim, Fakher (23052247800) ;Ur Rahman, Mohammad Hifz (57202017378) ;Rahman, Mosiur (55457953000) ;Rahman, Muhammad Aziz (55327627600) ;Rahmani, Amir Masoud (57204588830) ;Rahmani, Shayan (57226290079) ;Rahmanian, Vahid (55367908800) ;Rajput, Prashant (53986492000) ;Rana, Juwel (57191591600) ;Rao, Chythra R (35771430100) ;Rao, Sowmya J (57195423591) ;Rashedi, Sina (57222342404) ;Rashidi, Mohammad-Mahdi (57324471900) ;Ratan, Zubair Ahmed (56769961300) ;Rawaf, David Laith (57209228052) ;Rawaf, Salman (6602475959) ;Rawal, Lal (37262106500) ;Rawassizadeh, Reza (36634807900) ;Razeghinia, Mohammad Sadegh (57203060460) ;Redwan, Elrashdy Moustafa Mohamed (59012858000) ;Rezaei, Maryam (57211678662) ;Rezaei, Nazila (36700192900) ;Rezaei, Nima (57216077273) ;Rezaeian, Mohsen (15053682700) ;Rodrigues, Mónica (57206840982) ;Rodriguez, Jefferson Antonio Buendia (22936575000) ;Roever, Leonardo (56641632800) ;Rojas-Rueda, David (57203642966) ;Rudd, Kristina E (55584242800) ;Saad, Aly M A (56740147200) ;Sabour, Siamak (16307842100) ;Saddik, Basema (23020079300) ;Sadeghi, Erfan (56785668000) ;Sadeghi, Masoumeh (35516248000) ;Saeed, Umar (36612315100) ;Sahebazzamani, Maryam (57350889700) ;Sahebkar, Amirhossein (26639699900) ;Sahoo, Harihar (44462008100) ;Sajid, Mirza Rizwan (35249305600) ;Sakhamuri, Sateesh (56901179300) ;Salehi, Sana (57209618440) ;Samy, Abdallah M (36973661300) ;Santric-Milicevic, Milena M (57211144346) ;Jose, Bruno Piassi Sao (57202052980) ;Sathian, Brijesh (27467953500) ;Satpathy, Maheswar (57202563691) ;Saya, Ganesh Kumar (55391007900) ;Senthilkumaran, Subramanian (36191387000) ;Seylani, Allen (57222325334) ;Shahabi, Saeed (57211581903) ;Shaikh, Masood Ali (57203122601) ;Shanawaz, Mohd (57208665379) ;Shannawaz, Mohammed (56349680200) ;Sheikhi, Rahim Ali (39962437200) ;Shekhar, Shashank (57217256372) ;Sibhat, Migbar Mekonnen (57222351357) ;Simpson, Colin R (56018813700) ;Singh, Jasvinder A (58179112300) ;Singh, Paramdeep (57202809996) ;Singh, Surjit (55740397100) ;Skryabin, Valentin Yurievich (57226830981) ;Skryabina, Anna Aleksandrovna (57218875198) ;Soltani-Zangbar, Mohammad Sadegh (57189099987) ;Song, Suhang (57194455017) ;Soyiri, Ireneous N (15052406400) ;Steiropoulos, Paschalis (59264363400) ;Stockfelt, Leo (26022098300) ;Sun, Jing (55547135859) ;Takahashi, Ken (55741242600) ;Talaat, Iman M (7801465176) ;Tan, Ker-Kan (16745396700) ;Tat, Nathan Y (57820156400) ;Tat, Vivian Y (57221326673) ;Taye, Birhan Tsegaw (57221614117) ;Thangaraju, Pugazhenthan (55854329500) ;Thapar, Rekha (36337431900) ;Thienemann, Friedrich (6504339504) ;Tiyuri, Amir (57201850751) ;Tran, Mai Thi Ngoc (57225047867) ;Tripathy, Jaya Prasad (55290251600) ;Car, Lorainne Tudor (48561867100) ;Tusa, Biruk Shalmeno (57216200356) ;Ullah, Irfan (56992676600) ;Ullah, Sana (56402784100) ;Vacante, Marco (23037085900) ;Valdez, Pascual R (57202115577) ;Valizadeh, Rohollah (57192641339) ;Van Boven, Job F M (53464198500) ;Vasankari, Tommi Juhani (57200592416) ;Vaziri, Siavash (24460825100) ;Violante, Francesco S (7003555890) ;Vo, Bay (35147075900) ;Wang, Ning (58498985500) ;Wei, Melissa Y (8881342000) ;Westerman, Ronny (57218361023) ;Wickramasinghe, Nuwan Darshana (55326938000) ;Xu, Suowen (35303824800) ;Xu, Xiaoyue (59560820600) ;Yadav, Lalit (57211483937) ;Yismaw, Yazachew (57217253497) ;Yon, Dong Keon (57193675906) ;Yonemoto, Naohiro (57204947657) ;Yu, Chuanhua (57208140344) ;Yu, Yong (55628587954) ;Yunusa, Ismaeel (57202137670) ;Zahir, Mazyar (57226481652) ;Zangiabadian, Moein (57219666210) ;Zareshahrabadi, Zahra (57211797911) ;Zarrintan, Armin (55368002200) ;Zastrozhin, Mikhail Sergeevich (56728932200) ;Zegeye, Zelalem Banjaw (58284791500) ;Zhang, Yunquan (56568510200) ;Naghavi, Mohsen (57207906323) ;Larijani, Bagher (57205307740)Farzadfar, Farshad (57195049611)Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries. Funding: Bill & Melinda Gates Foundation. © 2023 The Authors - Some of the metrics are blocked by yourconsent settings
Publication Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021(2024) ;Bhattacharjee, Natalia V. (57203791372) ;Schumacher, Austin E. 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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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Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund. © 2022 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 burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019(2023) ;Wunrow, Han Yong (57218375682) ;Bender, Rose G. (57219860604) ;Vongpradith, Avina (57216661011) ;Sirota, Sarah Brooke (57222625302) ;Swetschinski, Lucien R. (57191617721) ;Novotney, Amanda (57224408265) ;Gray, Authia P. (57442982500) ;Ikuta, Kevin S. (57211541916) ;Sharara, Fablina (57218875897) ;Wool, Eve E. (57207302408) ;Aali, Amirali (57819452000) ;Abd-Elsalam, Sherief (57189845325) ;Abdollahi, Ashkan (57226416583) ;Abdul Aziz, Jeza Muhamad (55670686800) ;Abidi, Hassan (36769387800) ;Aboagye, Richard Gyan (57221438826) ;Abolhassani, Hassan (58597704600) ;Abu-Gharbieh, Eman (24586714800) ;Adamu, Lawan Hassan (56926568700) ;Adane, Tigist Demssew (57219700847) ;Addo, Isaac Yeboah (56305995900) ;Adegboye, Oyelola A. 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(58492171400) ;Yaghoubi, Sajad (57194285048) ;Yahya, Gahin Abdulraheem Tayib Yahya (57819809700) ;Yenew, Chalachew Yenew Yenew (57192711711) ;Yesiltepe, Metin (57200140329) ;Yi, Siyan (16837551600) ;Yiǧit, Vahit (57222328239) ;You, Yuyi (49865138500) ;Yusuf, Hadiza (57191630259) ;Zakham, Fathiah (37064030100) ;Zaman, Muhammad (56397661100) ;Bin Zaman, Sojib (57193070058) ;Zare, Iman (57224488480) ;Zareshahrabadi, Zahra (57211797911) ;Zarrintan, Armin (55368002200) ;Zastrozhin, Mikhail Sergeevich (56728932200) ;Zhang, Haijun (57217088114) ;Zhang, Jingya (58396283600) ;Zhang, Zhi-Jiang (56068578400) ;Zheng, Peng (57213707656) ;Zoladl, Mohammad (53980736300) ;Zumla, Alimuddin (7006170723) ;Hay, Simon I. (7101875313) ;Murray, Christopher J. L. (57224556036) ;Naghavi, Mohsen (57207906323)Kyu, Hmwe Hmwe (57217040073)Background: Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. Methods: We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. Findings: In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000–277 000) and 2·51 million (2·11–2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400–145 000) and 1·28 million incident cases (0·947–1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6–8·4) per 100 000 population in 1990 to 3·3 (2·8–3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1–19·2]), followed by N meningitidis (13·6% [12·7–14·4]) and K pneumoniae (12·2% [10·2–14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5–81·8]), followed by N meningitidis (72·3% [64·4–78·5]) and viruses (58·2% [47·1–67·3]). Interpretation: Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. Funding: Bill & Melinda Gates Foundation. © 2023 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 burden of rheumatoid arthritis, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021(2023) ;Black, Rachel J. (53263223000) ;Cross, Marita (57200967636) ;Haile, Lydia M. (57219861536) ;Culbreth, Garland T. (57996228700) ;Steinmetz, Jaimie D. (57221591053) ;Hagins, Hailey (57219860838) ;Kopec, Jacek A. (7006284395) ;Brooks, Peter M. (57216814350) ;Woolf, Anthony D. (57219134370) ;Ong, Kanyin Liane (57210793447) ;Kopansky-Giles, Deborah R. (6504143605) ;Dreinhoefer, Karsten E. (26323125200) ;Betteridge, Neil (6508129125) ;Aali, Amirali (57819452000) ;Abbasifard, Mitra (37053407900) ;Abbasi-Kangevari, Mohsen (57193543882) ;Abdurehman, Ame Mehadi (58660534900) ;Abedi, Aidin (56673854800) ;Abidi, Hassan (36769387800) ;Aboagye, Richard Gyan (57221438826) ;Abolhassani, Hassan (58597704600) ;Abu-Gharbieh, Eman (24586714800) ;Abu-Zaid, Ahmed (45861125100) ;Adamu, Kidist (57668751000) ;Addo, Isaac Yeboah (56305995900) ;Adesina, Miracle Ayomikun (57212196361) ;Adnani, Qorinah Estiningtyas Sakilah (57211604149) ;Afzal, Muhammad Sohail (56009310800) ;Ahmed, Ayman (57199492030) ;Aithala, Janardhana P. (57991341700) ;Akhlaghdoust, Meisam (56809376300) ;Alemayehu, Astawus (57223414662) ;Alvand, Saba (57209342946) ;Alvis-Zakzuk, Nelson J. (57193279948) ;Amu, Hubert (57190183918) ;Antony, Benny (55776194600) ;Arabloo, Jalal (57208760927) ;Aravkin, Aleksandr Y. (35386103000) ;Arulappan, Judie (57224210161) ;Ashraf, Tahira (56366752600) ;Athari, Seyyed Shamsadin (26653399600) ;Azadnajafabad, Sina (57219389837) ;Badawi, Alaa (57216776029) ;Baghcheghi, Nayereh (35092167000) ;Baig, Atif Amin (49460999600) ;Balta, Asaminew Birhanu (57820322100) ;Banach, Maciej (22936699500) ;Banik, Palash Chandra (57193523050) ;Barrow, Amadou (57217061576) ;Bashiri, Azadeh (56900999700) ;Bearne, Lindsay M. (6506832476) ;Bekele, Alehegn (57211266848) ;Bensenor, Isabela M. (7004830338) ;Berhie, Alemshet Yirga (57215095897) ;Bhagavathula, Akshaya Srikanth (56398498300) ;Bhardwaj, Pankaj (57226841442) ;Bhat, Ajay Nagesh (57819974900) ;Bhojaraja, Vijayalakshmi S. (55989506600) ;Bitaraf, Saeid (57201361911) ;Bodicha, Belay Boda Abule (57819806600) ;Botelho, João Silva (59843789000) ;Briggs, Andrew M. (7102129692) ;Buchbinder, Rachelle (7004966093) ;Castañeda-Orjuela, Carlos A. (35769124700) ;Charalampous, Periklis (57226411746) ;Chattu, Vijay Kumar (55743746500) ;Coberly, Kaleb (58139389800) ;Cruz-Martins, Natália (57203415019) ;Dadras, Omid (57205721978) ;Dai, Xiaochen (58530783700) ;de Luca, Katie (36485942000) ;Dessalegn, Fikadu Nugusu (57459332800) ;Dessie, Gashaw (57211533190) ;Dhimal, Meghnath (54941157300) ;Digesa, Lankamo Ena (57223025144) ;Diress, Mengistie (57222089627) ;Doku, Paul Narh (36089696500) ;Edinur, Hisham Atan (57287676500) ;Ekholuenetale, Michael (57189344745) ;Elhadi, Muhammed (57212082248) ;El-Sherbiny, Yasser Mohamed (6508271093) ;Etaee, Farshid (57193773903) ;Ezzeddini, Rana (54917204900) ;Faghani, Shahriar (57217388203) ;Filip, Irina (55570061400) ;Fischer, Florian (55508208800) ;Fukumoto, Takeshi (26531100300) ;Ganesan, Balasankar (57191928063) ;Gebremichael, Mathewos Alemu (57218381801) ;Gerema, Urge (57216249028) ;Getachew, Motuma Erena (57204617481) ;Ghashghaee, Ahmad (57194174020) ;Gill, Tiffany K. (8545441900) ;Gupta, Bhawna (56763353100) ;Gupta, Sapna (57217857409) ;Gupta, Veer Bala (57194978364) ;Gupta, Vivek Kumar (35073936800) ;Halwani, Rabih (15065354400) ;Hannan, Md Abdul (55122778800) ;Haque, Shafiul (35793732800) ;Harlianto, Netanja I. (57218510727) ;Harorani, Mehdi (57195316126) ;Hasaballah, Ahmed I. (56002305300) ;Hassen, Mohammed Bheser (58491683100) ;Hay, Simon I. (7101875313) ;Hayat, Khezar (57219918947) ;Heidari, Golnaz (57218883864) ;Hezam, Kamal (57199187791) ;Hill, Catherine L. (57202566690) ;Hiraike, Yuta (55701690300) ;Horita, Nobuyuki (57217110823) ;Hoveidaei, Amir Human (6505589440) ;Hsiao, Alexander Kevin (58596077600) ;Hsieh, Evelyn (7003884869) ;Hussain, Salman (57193956545) ;Iavicoli, Ivo (6603685479) ;Ilic, Irena M. (57210823522) ;Islam, Sheikh Mohammed Shariful (56400111100) ;Ismail, Nahlah Elkudssiah (57885381900) ;Iwagami, Masao (54381883100) ;Jakovljevic, Mihajlo (14318929700) ;Jani, Chinmay T. (57218651211) ;Jeganathan, Jayakumar (55312958400) ;Joseph, Nitin (35292547200) ;Kadashetti, Vidya (56724219200) ;Kandel, Himal (57226834655) ;Kanko, Tesfaye K. (57219894376) ;Karaye, Ibraheem M. (55598638900) ;Khajuria, Himanshu (56639982500) ;Khan, Md Jobair (57298003900) ;Khan, Moien A.B. (57209800900) ;Khanali, Javad (57219388410) ;Khatatbeh, Moawiah Mohammad (26421267800) ;Khubchandani, Jagdish (57211720011) ;Kim, Yun Jin (57211086375) ;Kisa, Adnan (6603346067) ;Kolahi, Ali-Asghar (24331775400) ;Kompani, Farzad (56071483000) ;Koohestani, Hamid Reza (26423051700) ;Koyanagi, Ai (59269920500) ;Krishan, Kewal (57202279708) ;Kuddus, Mohammed (8596487800) ;Kumar, Narinder (8215803600) ;Kuttikkattu, Ambily (57860475200) ;Larijani, Bagher (57205307740) ;Lim, Stephen S. (57201800433) ;Lo, Justin (57219861047) ;Machado, Vanessa Sintra (57194831389) ;Mahajan, Preetam Bhalchandra (57168727200) ;Majeed, Azeem (57217722657) ;Rad, Elaheh Malakan (55105272200) ;Malik, Ahmad Azam (57198682313) ;Mansournia, Mohammad Ali (34570618600) ;Mathews, Elezebeth (55572555900) ;Mendes, José João (57194835015) ;Mentis, Alexios-Fotios A. (7003278838) ;Mesregah, Mohamed Kamal (58235085100) ;Mestrovic, Tomislav (6507240107) ;Mirghaderi, Seyed Peyman (57226428360) ;Mirrakhimov, Erkin M. (57508336100) ;Misganaw, Awoke (57202808713) ;Mohamadkhani, Ashraf (9747546000) ;Mohammed, Shafiu (57838689000) ;Mokdad, Ali H. (7004813962) ;Moniruzzaman, Md (56392674200) ;Al Montasir, Ahmed (57222707819) ;Mulu, Getaneh Baye (57194027635) ;Murillo-Zamora, Efrén (55496438100) ;Murray, Christopher J.L. (57224556036) ;Mustafa, Ghulam (57190395960) ;Naghavi, Mohsen (57207906323) ;Nair, Tapas Sadasivan (59496484400) ;Naqvi, Atta Abbas (56501393600) ;Natto, Zuhair S. (37000768500) ;Nayak, Biswa Prakash (56639942500) ;Neupane, Subas (57215632313) ;Nguyen, Cuong Tat (56531347200) ;Niazi, Robina Khan (57204666021) ;Nzoputam, Ogochukwu Janet (57819279400) ;Oh, In-Hwan (57204090669) ;Okati-Aliabad, Hassan (57211186862) ;Okonji, Osaretin Christabel (57222864302) ;Olufadewa, Isaac Iyinoluwa (57216286071) ;Owolabi, Mayowa O. (57222581892) ;Pacheco-Barrios, Kevin (57201981698) ;Padubidri, Jagadish Rao (58295062300) ;Patel, Jay (59222700400) ;Pathan, Aslam Ramjan (57202252987) ;Pawar, Shrikant (58594958600) ;Pedersini, Paolo (57202983547) ;Perianayagam, Arokiasamy (15053062900) ;Petcu, Ionela-Roxana (57094897500) ;Qattea, Ibrahim (57222260346) ;Radfar, Amir (57215049222) ;Rafiei, Alireza (13205769200) ;Ur Rahman, Mohammad Hifz (57202017378) ;Rahmanian, Vahid (55367908800) ;Rashedi, Vahid (55775014100) ;Rashidi, Mohammad-Mahdi (57324471900) ;Ratan, Zubair Ahmed (56769961300) ;Rawaf, Salman (6602475959) ;Razeghinia, Mohammad Sadegh (57203060460) ;Redwan, Elrashdy Moustafa Mohamed (59012858000) ;Renzaho, Andre M.N. (6505786588) ;Rezaei, Nazila (36700192900) ;Rezaei, Nima (57216077273) ;Riad, Abanoub (57218221621) ;Saad, Aly M.A. (56740147200) ;Saddik, Basema (23020079300) ;Saeed, Umar (36612315100) ;Safary, Azam (56070686400) ;Sahebazzamani, Maryam (57350889700) ;Sahebkar, Amirhossein (26639699900) ;Sahoo, Harihar (44462008100) ;Farrokhi, Amir Salek (58192107000) ;Saqib, Muhammad Arif Nadeem (57213570386) ;Seylani, Allen (57222325334) ;Shahabi, Saeed (57211581903) ;Shaikh, Masood Ali (57203122601) ;Shashamo, Bereket Beyene (57223025060) ;Shetty, Adithi (57315189400) ;Shetty, Jeevan K. (15844347300) ;Shigematsu, Mika (23968093000) ;Shivarov, Velizar (15623607900) ;Shobeiri, Parnian (57218601156) ;Sibhat, Migbar Mekonnen (57222351357) ;Sinaei, Ehsan (57193155429) ;Singh, Ambrish (57214875932) ;Singh, Jasvinder A. (58179112300) ;Singh, Paramdeep (57202809996) ;Singh, Surjit (55740397100) ;Siraj, Md Shahjahan (57216886120) ;Skryabina, Anna Aleksandrovna (57218875198) ;Slater, Helen (7006294272) ;Smith, Amanda E. (56128141700) ;Solomon, Yonatan (57220875005) ;Soltani-Zangbar, Mohammad Sadegh (57189099987) ;Tabish, Mohammad (57211184911) ;Tan, Ker-Kan (16745396700) ;Tat, Nathan Y. (57820156400) ;Tehrani-Banihashemi, Arash (57204006020) ;Tharwat, Samar (57192417685) ;Tovani-Palone, Marcos Roberto (56644977900) ;Tusa, Biruk Shalmeno (57216200356) ;Tahbaz, Sahel Valadan (57216154072) ;Valdez, Pascual R. (57202115577) ;Valizadeh, Rohollah (57192641339) ;Vaziri, Siavash (24460825100) ;Vollset, Stein Emil (57196315778) ;Wu, Ai-Min (58498490700) ;Yada, Dereje Y. (58492171400) ;Yehualashet, Sisay Shewasinad (57206778326) ;Yonemoto, Naohiro (57204947657) ;You, Yuyi (49865138500) ;Yunusa, Ismaeel (57202137670) ;Zangiabadian, Moein (57219666210) ;Zare, Iman (57224488480) ;Zarrintan, Armin (55368002200) ;Zhang, Zhi-Iang (56068578400) ;Zhong, Chenwen (59289905900) ;Zoladl, Mohammad (53980736300) ;Vos, Theo (57223885848)March, Lyn M. (16242275800)Background: Rheumatoid arthritis is a chronic autoimmune inflammatory disease associated with disability and premature death. Up-to-date estimates of the burden of rheumatoid arthritis are required for health-care planning, resource allocation, and prevention. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we provide updated estimates of the prevalence of rheumatoid arthritis and its associated deaths and disability-adjusted life-years (DALYs) by age, sex, year, and location, with forecasted prevalence to 2050. Methods: Rheumatoid arthritis prevalence was estimated in 204 countries and territories from 1990 to 2020 using Bayesian meta-regression models and data from population-based studies and medical claims data (98 prevalence and 25 incidence studies). Mortality was estimated from vital registration data with the Cause of Death Ensemble model (CODEm). Years of life lost (YLL) were calculated with use of standard GBD lifetables, and years lived with disability (YLDs) were estimated from prevalence, a meta-analysed distribution of rheumatoid arthritis severity, and disability weights. DALYs were calculated by summing YLLs and YLDs. Smoking was the only risk factor analysed. Rheumatoid arthritis prevalence was forecast to 2050 by logistic regression with Socio-Demographic Index as a predictor, then multiplying by projected population estimates. Findings: In 2020, an estimated 17·6 million (95% uncertainty interval 15·8–20·3) people had rheumatoid arthritis worldwide. The age-standardised global prevalence rate was 208·8 cases (186·8–241·1) per 100 000 population, representing a 14·1% (12·7–15·4) increase since 1990. Prevalence was higher in females (age-standardised female-to-male prevalence ratio 2·45 [2·40–2·47]). The age-standardised death rate was 0·47 (0·41–0·54) per 100 000 population (38 300 global deaths [33 500–44 000]), a 23·8% (17·5–29·3) decrease from 1990 to 2020. The 2020 DALY count was 3 060 000 (2 320 000–3 860 000), with an age-standardised DALY rate of 36·4 (27·6–45·9) per 100 000 population. YLDs accounted for 76·4% (68·3–81·0) of DALYs. Smoking risk attribution for rheumatoid arthritis DALYs was 7·1% (3·6–10·3). We forecast that 31·7 million (25·8–39·0) individuals will be living with rheumatoid arthritis worldwide by 2050. Interpretation: Rheumatoid arthritis mortality has decreased globally over the past three decades. Global age-standardised prevalence rate and YLDs have increased over the same period, and the number of cases is projected to continue to increase to the year 2050. Improved access to early diagnosis and treatment of rheumatoid arthritis globally is required to reduce the future burden of the disease. Funding: Bill & Melinda Gates Foundation, Institute of Bone and Joint Research, and Global Alliance for Musculoskeletal Health. © 2023 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 burden of rheumatoid arthritis, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021(2023) ;Black, Rachel J. (53263223000) ;Cross, Marita (57200967636) ;Haile, Lydia M. (57219861536) ;Culbreth, Garland T. (57996228700) ;Steinmetz, Jaimie D. (57221591053) ;Hagins, Hailey (57219860838) ;Kopec, Jacek A. (7006284395) ;Brooks, Peter M. (57216814350) ;Woolf, Anthony D. (57219134370) ;Ong, Kanyin Liane (57210793447) ;Kopansky-Giles, Deborah R. (6504143605) ;Dreinhoefer, Karsten E. (26323125200) ;Betteridge, Neil (6508129125) ;Aali, Amirali (57819452000) ;Abbasifard, Mitra (37053407900) ;Abbasi-Kangevari, Mohsen (57193543882) ;Abdurehman, Ame Mehadi (58660534900) ;Abedi, Aidin (56673854800) ;Abidi, Hassan (36769387800) ;Aboagye, Richard Gyan (57221438826) ;Abolhassani, Hassan (58597704600) ;Abu-Gharbieh, Eman (24586714800) ;Abu-Zaid, Ahmed (45861125100) ;Adamu, Kidist (57668751000) ;Addo, Isaac Yeboah (56305995900) ;Adesina, Miracle Ayomikun (57212196361) ;Adnani, Qorinah Estiningtyas Sakilah (57211604149) ;Afzal, Muhammad Sohail (56009310800) ;Ahmed, Ayman (57199492030) ;Aithala, Janardhana P. (57991341700) ;Akhlaghdoust, Meisam (56809376300) ;Alemayehu, Astawus (57223414662) ;Alvand, Saba (57209342946) ;Alvis-Zakzuk, Nelson J. (57193279948) ;Amu, Hubert (57190183918) ;Antony, Benny (55776194600) ;Arabloo, Jalal (57208760927) ;Aravkin, Aleksandr Y. (35386103000) ;Arulappan, Judie (57224210161) ;Ashraf, Tahira (56366752600) ;Athari, Seyyed Shamsadin (26653399600) ;Azadnajafabad, Sina (57219389837) ;Badawi, Alaa (57216776029) ;Baghcheghi, Nayereh (35092167000) ;Baig, Atif Amin (49460999600) ;Balta, Asaminew Birhanu (57820322100) ;Banach, Maciej (22936699500) ;Banik, Palash Chandra (57193523050) ;Barrow, Amadou (57217061576) ;Bashiri, Azadeh (56900999700) ;Bearne, Lindsay M. (6506832476) ;Bekele, Alehegn (57211266848) ;Bensenor, Isabela M. (7004830338) ;Berhie, Alemshet Yirga (57215095897) ;Bhagavathula, Akshaya Srikanth (56398498300) ;Bhardwaj, Pankaj (57226841442) ;Bhat, Ajay Nagesh (57819974900) ;Bhojaraja, Vijayalakshmi S. (55989506600) ;Bitaraf, Saeid (57201361911) ;Bodicha, Belay Boda Abule (57819806600) ;Botelho, João Silva (57193508268) ;Briggs, Andrew M. (7102129692) ;Buchbinder, Rachelle (7004966093) ;Castañeda-Orjuela, Carlos A. (35769124700) ;Charalampous, Periklis (57226411746) ;Chattu, Vijay Kumar (55743746500) ;Coberly, Kaleb (58139389800) ;Cruz-Martins, Natália (57203415019) ;Dadras, Omid (57205721978) ;Dai, Xiaochen (58530783700) ;de Luca, Katie (36485942000) ;Dessalegn, Fikadu Nugusu (57459332800) ;Dessie, Gashaw (57211533190) ;Dhimal, Meghnath (54941157300) ;Digesa, Lankamo Ena (57223025144) ;Diress, Mengistie (57222089627) ;Doku, Paul Narh (36089696500) ;Edinur, Hisham Atan (57287676500) ;Ekholuenetale, Michael (57189344745) ;Elhadi, Muhammed (57212082248) ;El-Sherbiny, Yasser Mohamed (6508271093) ;Etaee, Farshid (57193773903) ;Ezzeddini, Rana (54917204900) ;Faghani, Shahriar (57217388203) ;Filip, Irina (55570061400) ;Fischer, Florian (55508208800) ;Fukumoto, Takeshi (26531100300) ;Ganesan, Balasankar (57191928063) ;Gebremichael, Mathewos Alemu (57218381801) ;Gerema, Urge (57216249028) ;Getachew, Motuma Erena (57204617481) ;Ghashghaee, Ahmad (57194174020) ;Gill, Tiffany K. 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(58179112300) ;Singh, Paramdeep (57202809996) ;Singh, Surjit (55740397100) ;Siraj, Md Shahjahan (57216886120) ;Skryabina, Anna Aleksandrovna (57218875198) ;Slater, Helen (7006294272) ;Smith, Amanda E. (56128141700) ;Solomon, Yonatan (57220875005) ;Soltani-Zangbar, Mohammad Sadegh (57189099987) ;Tabish, Mohammad (57211184911) ;Tan, Ker-Kan (16745396700) ;Tat, Nathan Y. (57820156400) ;Tehrani-Banihashemi, Arash (57204006020) ;Tharwat, Samar (57192417685) ;Tovani-Palone, Marcos Roberto (56644977900) ;Tusa, Biruk Shalmeno (57216200356) ;Tahbaz, Sahel Valadan (57216154072) ;Valdez, Pascual R. (57202115577) ;Valizadeh, Rohollah (57192641339) ;Vaziri, Siavash (24460825100) ;Vollset, Stein Emil (57196315778) ;Wu, Ai-Min (58498490700) ;Yada, Dereje Y. (58492171400) ;Yehualashet, Sisay Shewasinad (57206778326) ;Yonemoto, Naohiro (57204947657) ;You, Yuyi (49865138500) ;Yunusa, Ismaeel (57202137670) ;Zangiabadian, Moein (57219666210) ;Zare, Iman (57224488480) ;Zarrintan, Armin (55368002200) ;Zhang, Zhi-Iang (56068578400) ;Zhong, Chenwen (59289905900) ;Zoladl, Mohammad (53980736300) ;Vos, Theo (57223885848)March, Lyn M. (16242275800)Background: Rheumatoid arthritis is a chronic autoimmune inflammatory disease associated with disability and premature death. Up-to-date estimates of the burden of rheumatoid arthritis are required for health-care planning, resource allocation, and prevention. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we provide updated estimates of the prevalence of rheumatoid arthritis and its associated deaths and disability-adjusted life-years (DALYs) by age, sex, year, and location, with forecasted prevalence to 2050. Methods: Rheumatoid arthritis prevalence was estimated in 204 countries and territories from 1990 to 2020 using Bayesian meta-regression models and data from population-based studies and medical claims data (98 prevalence and 25 incidence studies). Mortality was estimated from vital registration data with the Cause of Death Ensemble model (CODEm). Years of life lost (YLL) were calculated with use of standard GBD lifetables, and years lived with disability (YLDs) were estimated from prevalence, a meta-analysed distribution of rheumatoid arthritis severity, and disability weights. DALYs were calculated by summing YLLs and YLDs. Smoking was the only risk factor analysed. Rheumatoid arthritis prevalence was forecast to 2050 by logistic regression with Socio-Demographic Index as a predictor, then multiplying by projected population estimates. Findings: In 2020, an estimated 17·6 million (95% uncertainty interval 15·8–20·3) people had rheumatoid arthritis worldwide. The age-standardised global prevalence rate was 208·8 cases (186·8–241·1) per 100 000 population, representing a 14·1% (12·7–15·4) increase since 1990. Prevalence was higher in females (age-standardised female-to-male prevalence ratio 2·45 [2·40–2·47]). The age-standardised death rate was 0·47 (0·41–0·54) per 100 000 population (38 300 global deaths [33 500–44 000]), a 23·8% (17·5–29·3) decrease from 1990 to 2020. The 2020 DALY count was 3 060 000 (2 320 000–3 860 000), with an age-standardised DALY rate of 36·4 (27·6–45·9) per 100 000 population. YLDs accounted for 76·4% (68·3–81·0) of DALYs. Smoking risk attribution for rheumatoid arthritis DALYs was 7·1% (3·6–10·3). We forecast that 31·7 million (25·8–39·0) individuals will be living with rheumatoid arthritis worldwide by 2050. Interpretation: Rheumatoid arthritis mortality has decreased globally over the past three decades. Global age-standardised prevalence rate and YLDs have increased over the same period, and the number of cases is projected to continue to increase to the year 2050. Improved access to early diagnosis and treatment of rheumatoid arthritis globally is required to reduce the future burden of the disease. Funding: Bill & Melinda Gates Foundation, Institute of Bone and Joint Research, and Global Alliance for Musculoskeletal Health. © 2023 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 The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019(2022) ;Tran, Khanh Bao (57201651536) ;Lang, Justin J. (57189384487) ;Compton, Kelly (57205330541) ;Xu, Rixing (57204186670) ;Acheson, Alistair R. (57912642400) ;Henrikson, Hannah Jacqueline (57219861283) ;Kocarnik, Jonathan M. 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(57196918748) ;Soshnikov, Sergey (57195195606) ;Sotoudeh, Houman (14054801700) ;Sowe, Alieu (57208392783) ;Sufiyan, Mu’awiyyah Babale (58294633600) ;Suk, Ryan (57197819192) ;Suleman, Muhammad (57196800921) ;Suliankatchi Abdulkader, Rizwan (57226832737) ;Sultana, Saima (57404748200) ;Sur, Daniel (57194064798) ;Szócska, Miklós (13410278600) ;Tabaeian, Seidamir Pasha (57217530354) ;Tabarés-Seisdedos, Rafael (6602981102) ;Tabatabaei, Seyyed Mohammad (55935372700) ;Tabuchi, Takahiro (55177892400) ;Tadbiri, Hooman (57138410000) ;Taheri, Ensiyeh (54997206100) ;Taheri, Majid (57196608691) ;Taheri Soodejani, Moslem (57200541349) ;Takahashi, Ken (55741242600) ;Talaat, Iman M. (7801465176) ;Tampa, Mircea (55324899600) ;Tan, Ker-Kan (16745396700) ;Tat, Nathan Y. (57820156400) ;Tat, Vivian Y. (57221326673) ;Tavakoli, Ahmad (57189869940) ;Tavakoli, Arash (57819456000) ;Tehrani-Banihashemi, Arash (57204006020) ;Tekalegn, Yohannes (57201033519) ;Tesfay, Fisaha Haile (57203977293) ;Thapar, Rekha (36337431900) ;Thavamani, Aravind (57202135529) ;Thoguluva Chandrasekar, Viveksandeep (57207827433) ;Thomas, Nihal (7401830494) ;Thomas, Nikhil Kenny (57218603966) ;Ticoalu, Jansje Henny Vera (57580368800) ;Tiyuri, Amir (57201850751) ;Tollosa, Daniel Nigusse (57197807985) ;Topor-Madry, Roman (57211182892) ;Touvier, Mathilde (8877033300) ;Tovani-Palone, Marcos Roberto (56644977900) ;Traini, Eugenio (57211137081) ;Tran, Mai Thi Ngoc (57225047867) ;Tripathy, Jaya Prasad (55290251600) ;Ukke, Gebresilasea Gendisha (57208651311) ;Ullah, Irfan (56992676600) ;Ullah, Saif (57219395828) ;Ullah, Sana (56402784100) ;Unnikrishnan, Bhaskaran (12790012100) ;Vacante, Marco (23037085900) ;Vaezi, Maryam (55644006900)Valadan Tahbaz, Sahel (57356986200)Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
