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Enregistrement W2491572170 · doi:10.1016/s2352-3018(16)30087-x

Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015

2016· article· en· W2491572170 sur OpenAlexfundno aff
Haidong Wang, Tim M Wolock, Austin Carter, Grant Nguyen, Hmwe Hmwe Kyu, Emmanuela Gakidou, Simon I Hay, Edward J Mills, Adam Trickey, William Msemburi, Matthew M Coates, Meghan Mooney, Maya Fraser, Amber Sligar, Joshua A. Salomon, Heidi J. Larson, Joseph Friedman, Amanuel Alemu Abajobir, Kalkidan Hassen Abate, Kaja Abbas, Mohamed Magdy Abd El Razek, Foad Abd-Allah, Abdishakur Abdulle, Semaw Ferede Abera, Ibrahim Abubakar, Laith J. Abu‐Raddad, Niveen M. E. Abu-Rmeileh, Gebre Yitayih Abyu, Akindele O. Adebiyi, Isaac Akinkunmi Adedeji, Ademola Adelekan, Adofo Koranteng, Arsène Kouablan Adou, Oluremi N Ajala, Tomi Akinyemiju, Nadia Akseer, Faris Lami, Ziyad Al‐Aly, Khurshid Alam, Noore Alam, Deena Alasfoor, Saleh Fahed Aldhahri, Robert W Aldridge, Miguel Angel Alegretti, Alicia V Aleman, Zewdie Aderaw Alemu, Rafael Alfonso‐Cristancho, Raghib Ali, Ala’a Alkerwi, François Alla, Ubai Alsharif, Elena Álvarez, Nelson Alvis‐Guzmán, Azmeraw T. Amare, Alemayehu Amberbir, A. Kofi Amegah, Walid Ammar, Stephen M. Amrock, Carl Abelardo T. Antonio, Palwasha Anwari, Johan Ärnlöv, Al Artaman, Hamid Asayesh, Rana Jawad Asghar, Reza Assadi, Suleman Atique, Lydia S Atkins, Euripide Avokpaho, Ashish Awasthi, Beatriz Paulina Ayala Quintanilla, Umar Bacha, Alaa Badawi, Aleksandra Barać, Till Bärnighausen, Arindam Basu, Tigist Assefa Bayou, Yibeltal Tebekaw Bayou, Shahrzad Bazargan‐Hejazi, Justin Beardsley, Neeraj Bedi, Derrick Bennett, Isabela M. Benseñor, Balem Demtsu Betsu, Eesh Bhatia, Zulfiqar A Bhutta, Sibhatu Biadgilign, Boris Bikbov, Sait Mentes Birlik, Donal Bisanzio, Michael Brainin, Alexandra Bražinová, Nicholas J. K. Breitborde, Alexandria Brown, Michael Burch, Zahid A Butt, Julio César Campuzano, Rosario Cárdenas, Juan Jesús Carrero, Carlos A Castañeda-Orjuela, Jacqueline Castillo Rivas, Ferrán Catalá-López, Hsing‐Yi Chang, Jung‐Chen Chang, Laxmikant Chavan, Wanqing Chen, Peggy Pei-Chia Chiang, Mirriam Chibalabala, Vesper Hichilombwe Chisumpa, Jee-Young Jasmine Choi, Devasahayam Jesudas Christopher, Liliana G Ciobanu, Cyrus Cooper, Tukur Dahiru, Solomon Abrha Damtew, Lalit Dandona, Rakhi Dandona, José das Neves, Pieter de Jager, Diego De Leo, Louisa Degenhardt, Robert P Dellavalle, Kebede Deribe, Amare Deribew, Don C. Des Jarlais, Samath Dhamminda Dharmaratne, Eric L. Ding, Pratik P. Doshi, Kerrie Doyle, Tim Driscoll, Manisha Dubey, Yousef M Elshrek, Iqbal Elyazar, Aman Yesuf Endries, Sergey Petrovich Ermakov, Babak Eshrati, Alireza Esteghamati, Imad D A Faghmous, Carla Sofia e Sá Farinha, André Faro, Maryam S. Farvid, Farshad Farzadfar, Seyed‐Mohammad Fereshtehnejad, João Carlos Fernandes, Florian Fischer, Joseph R A Fitchett, Nataliya A Foigt, Nancy Fullman, Thomas Fürst, Fortuné Gbètoho Gankpé, Teshome Gebre, Amanuel Tesfay Gebremedhin, Alemseged Aregay Gebru, Johanna M. Geleijnse, Bradford D. Gessner, Peter W. Gething, Tsegaye Tewelde Ghiwot, Maurice Giroud, Melkamu Dedefo Gishu, Elizabeth Glaser, Shifalika Goenka, Amador Goodridge, Sameer Vali Gopalani, Atsushi Goto, H. C. Gugnani, Mark Drew Crosland Guimarães, Rahul Gupta, Vipin Gupta, Juanita A. Haagsma, Nima Hafezi‐Nejad, Holly Hagan, Gessessew Bugssa Hailu, Randah R Hamadeh, Samer Hamidi, Mouhanad Hammami, Graeme J. Hankey, Yuantao Hao, Hilda L Harb, S Harikrishnan, Josep María Haro, Kimani M Harun, Rasmus Havmoeller, Mohammad Taghi Hedayati, Ileana Heredia-Pi, Hans W. Hoek, Masako Horino, Nobuyuki Horita, Hung Chak Ho, Damian G Hoy, Mohamed Hsaïri, Guoqing Hu, Hsiang Huang, John J. Huang, Kim Moesgaard Iburg, Bulat Idrisov, Kaire Innos, Veena Iyer, Kathryn H. Jacobsen, Nader Jahanmehr, Mihajlo Jakovljević, Mehdi Javanbakht, Achala Upendra Jayatilleke, Panniyammakal Jeemon, Vivekanand Jha, Guohong Jiang, Ying Jiang, Tariku Jibat, Jost B. Jonas, Zubair Kabir, Ritul Kamal, Haidong Kan, André Karch, Corine Karema, Dimitris Karletsos, Amir Kasaeian, Anil Kaul, Norito Kawakami, Jeanne Françoise Kayibanda, Peter Njenga Keiyoro, Andrew H. Kemp, André Pascal Kengne, Chandrasekharan Nair Kesavachandran, Yousef Khader, Abdur Rahman Khan, Ejaz Ahmad Khan, Young‐Ho Khang, Jagdish Khubchandani, Yun Jin Kim, Yohannes Kinfu, Miia Kivipelto, Yoshihiro Kokubo, Soewarta Kosen, Parvaiz A Koul, Ai Koyanagi, Barthélémy Kuate Defo, Burcu Küçük Biçer, Veena S. Kulkarni, G Anil Kumar, Hilton Y. Lam, Jennifer O. Lam, Sinéad Langan, Van Charles Lansingh, Anders Larsson, James Leigh, Ricky Leung, Yongmei Li, Stephen S Lim, Steven E. Lipshultz, Shiwei Liu, Belinda Lloyd, Giancarlo Logroscino, Paulo A. Lotufo, Raimundas Lunevičius, Hassan Magdy Abd El Razek, Mahdi Mahdavi, P A Mahesh, Marek Majdán, Azeem Majeed, Carla Makhlouf, Reza Malekzadeh, Chabila C Mapoma, Wagner Marcenes, José Martı́nez-Raga, Melvin Barrientos Marzan, Felix Masiye, Amanda J. Mason‐Jones, Bongani M. Mayosi, Martin McKee, Peter A. Meaney, Man Mohan Mehndiratta, Alemayehu Mekonnen, Yohannes Adama Melaku, Peter Memiah, Ziad A. Memish, Walter Mendoza, Atte Meretoja, Tuomo J Meretoja, Francis Mhimbira, Ted R. Miller, Joseph Mikesell, Mojde Mirarefin, Karzan Abdulmuhsin Mohammad, Shafiu Mohammed, Ali H. Mokdad, Lorenzo Monasta, Maziar Moradi‐Lakeh, Rintaro Mori, Ulrich Müeller, Brighton Murimira, G. V. S. Murthy, Aliya Naheed, Luigi Naldi, Vinay Nangia, Denis Nash, Haseeb Nawaz, Chakib Nejjari, Frida Ngalesoni, Jean de Dieu Ngirabega, Quyen Le Nguyen, Muhammad Imran Nisar, Ole Frithjof Norheim, Rosana Norman, Luke Nyakarahuka, Felix Akpojene Ogbo, In‐Hwan Oh, Foluke Adetola Ojelabi, Bolajoko O. Olusanya, Jacob Olusegun Olusanya, John Nelson Opio, Eyal Oren, Erika Ota, Hye-Youn Park, Jae‐Hyun Park, Snehal T Patil, Scott B. Patten, Vinod K Paul, Katherine Pearson, Emmanuel Peprah, David M. Pereira, Norberto Perico, Konrad Pesudovs, Max Petzold, Michael Phillips, Julian David Pillay, Dietrich Plaß, Farshad Pourmalek, D Prokop, Mostafa Qorbani, Anwar Rafay, Kazem Rahimi, Vafa Rahimi‐Movaghar, Mahfuzar Rahman, Mohammad Hifz Ur Rahman, Sajjad Ur Rahman, Rajesh Kumar, Saša Rajšić, Usha Ram, Paturi Vishnupriya Rao, Giuseppe Remuzzi, David Rojas‐Rueda, Luca Ronfani, Gholamreza Roshandel, Ambuj Roy, George Mugambage Ruhago, Rajesh Sagar, Muhammad Muhammad Saleh, Juan Sanabria, Itamar S Santos, Rodrigo Sarmiento-Suárez, Benn Sartorius, Monika Sawhney, Aletta E. Schutte, David C. Schwebel, Soraya Seedat, Sadaf G Sepanlou, Edson Serván‐Mori, Masood Ali Shaikh, Rajesh Sharma, Jun She, Sara Sheikhbahaei, Jiabin Shen, Kenji Shibuya, Hwashin Hyun Shin, Inga Dóra Sigfúsdóttir, Naris Silpakit, Diego Augusto Santos Silva, Dayane Gabriele Alves Silveira, Edgar P. Simard, Shireen Sindi, Jasvinder A. Singh, Om Prakash Singh, Prashant Kumar Singh, Vegard Skirbekk, Karen Sliwa, Samir Soneji, Reed J D Sorensen, Joan B. Soriano, David Soti, Chandrashekhar T Sreeramareddy, Vasiliki Stathopoulou, Nicholas Steel, Bruno Sunguya, Soumya Swaminathan, Bryan L. Sykes, Rafael Tabarés‐Seisdedos, Roberto Tchio Talongwa, Mohammad Tavakkoli, Bineyam Taye, Bemnet Tedla, Tesfaye Tekle, Girma Temam Shifa, Awoke Misganaw Temesgen, Abdullah Sulieman Terkawi, Fisaha Haile Tesfay, Gizachew Assefa Tessema, Kiran Thapa, A. J. Thomson, Andrew Thorne‐Lyman, Ruoyan Tobe-Gai, Roman Topór-Mądry, Jeffrey Allen Towbin, Bach Xuan Tran, Zacharie Tsala Dimbuene, Nikolaos Tsilimparis, Abera Kenay Tura, Kingsley Nnanna Ukwaja, Chigozie Jesse Uneke, Olalekan A. Uthman, Narayanaswamy Venketasubramanian, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Lınhong Wang, Elisabete Weiderpass, Robert G Weintraub, Andrea Werdecker, Ronny Westerman, Tissa Wijeratne, James D. Wilkinson, Charles Shey Wiysonge, Charles Wolfe, Sungho Won, John Q. Wong, Gelin Xu, Ajit Kumar Yadav, Bereket Yakob, Ayalnesh Zemene Yalew, Yuichiro Yano, Mehdi Yaseri, Henock G. Yebyo, Paul Yip, Naohiro Yonemoto, Seok‐Jun Yoon, Mustafa Z Younis, Chuanhua Yu, Shicheng Yu, Zoubida Zaidi, Maysaa El Sayed Zaki, Hajo Zeeb, Hao Zhang, Yong Zhao, Sanjay Zodpey, Leo Zoeckler, Liesl Zühlke, Alan D Lopez, Christopher J L Murray

Notice bibliographique

RevueThe Lancet HIV · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHIV/AIDS Research and Interventions
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Mental HealthNational Institute on AgingCenter for Innovative MedicineSistema Nacional de InvestigadoresNIHR Oxford Biomedical Research CentreCollege of Medicine, Korea UniversityInstituto de Salud Carlos IIIWarwick Medical SchoolOxford Martin School, University of OxfordSchool of Medicine, Wayne State UniversityMedical Research CouncilSamfundet FolkhälsanU.S. Food and Drug AdministrationNational Institutes of HealthWellcomeInnovative Medicines InitiativeNational Institute for Health and Care ResearchThe Wellcome Trust DBT India AllianceUniversität ZürichVetenskapsrådetNorwegian Institute of Public HealthKnut och Alice Wallenbergs StiftelseHealth Science Center, University of TennesseeFonds de Recherche du Québec - SantéUniversitetet i TromsøGeneralitat ValencianaKorea UniversityEuropean Regional Development FundKing's College LondonAcademy of FinlandFonds National de la Recherche LuxembourgAlzheimer's Research and Prevention FoundationSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungInstitute for Health Metrics and EvaluationNanjing UniversityAcademy of Medical SciencesAXA Research FundInternational Society of NephrologyWorld Health OrganizationWellcome TrustNational Research University Higher School of EconomicsUniversity of WarwickNational Center for Child Health and DevelopmentNational Science FoundationDepartment of Biotechnology, Ministry of Science and Technology, IndiaNorthwestern UniversityBill and Melinda Gates FoundationFundação para a Ciência e a TecnologiaQatar National Research FundAlzheimerfondenUnited Nations Population FundKarolinska InstitutetJackson State UniversityFundação de Amparo à Pesquisa do Estado de São PauloEuropean CommissionUniversidad de Ciencias Aplicadas y AmbientalesWayne State University
Mots-clésMedicineIncidence (geometry)Burden of diseaseHuman immunodeficiency virus (HIV)Environmental healthDisease burdenDiseaseDemographyVirologyPopulationInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. METHODS: For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. FINDINGS: Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1-3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5-2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6-40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7-1·9 million) in 2005, to 1·2 million deaths (1·1-1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. INTERPRETATION: Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030. FUNDING: Bill & Melinda Gates Foundation, and National Institute of Mental Health and National Institute on Aging, National Institutes of Health.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,060
Score d'incertitude au seuil0,118

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,014
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0050,007
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,055
Tête enseignante GPT0,397
Écart entre enseignants0,342 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations630
Publié2016
Routes d'admission1
Résumé présentoui

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