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Updated Data and Methods for the 2023 UNAIDS HIV Estimates.
van Schalkwyk, Cari; Mahy, Mary; Johnson, Leigh F; Imai-Eaton, Jeffrey W.
Afiliação
  • van Schalkwyk C; South African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
  • Mahy M; Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
  • Johnson LF; Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
  • Imai-Eaton JW; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom; and.
J Acquir Immune Defic Syndr ; 95(1S): e1-e4, 2024 01 01.
Article em En | MEDLINE | ID: mdl-38180734
ABSTRACT
ABSTRACT Each year, supported by the Joint United Nations Programme on HIV/AIDS (UNAIDS), country teams across the globe produce estimates that chart the state of their HIV epidemics. In 2023, HIV estimates were available for 174 countries, accounting for 99% of the global population, of which teams from 150 countries actively engaged in this process. The methods used to derive these estimates are developed under the guidance of the UNAIDS Reference Group on Estimates, Modeling, and Projections (www.epidem.org). Updates to these methods and epidemiological analyses that inform parameters and assumptions are documented in this supplement.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article