Challenges in estimating HIV prevalence trends and geographical variation in HIV prevalence using antenatal data: Insights from mathematical modelling

BACKGROUND: HIV prevalence data among pregnant women have been critical to estimating HIV trends and geographical patterns of HIV in many African countries. Although antenatal HIV prevalence data are known to be biased representations of HIV prevalence in the general population, mathematical models...

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Detalles Bibliográficos
Autores principales: Johnson, Leigh F., Kubjane, Mmamapudi, Eaton, Jeffrey W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679018/
https://www.ncbi.nlm.nih.gov/pubmed/33216793
http://dx.doi.org/10.1371/journal.pone.0242595

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679018/
https://www.ncbi.nlm.nih.gov/pubmed/33216793
http://dx.doi.org/10.1371/journal.pone.0242595

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