ArticleSouthern African journal of HIV medicine2018
Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa.
Article in Southern African journal of HIV medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Geostatistical point process modelling of HIV prevalence using disease progression and CD4 cell count dynamics.iScience · 2026Article
- Past dynamics of HIV transmission among men who have sex with men in Montréal, Canada: a mathematical modeling study.BMC infectious diseases · 2022Article
- Modeling the Impact of Social Determinants of Health on HIV.AIDS and behavior · 2021Article
- Comparison of two simulators for individual based models in HIV epidemiology in a population with HSV 2 in Yaoundé (Cameroon).Scientific reports · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We review key mathematical models of the South African human immunodeficiency virus (HIV) epidemic from the early 1990s onwards. In our descriptions, we sometimes differentiate between the concepts of a model world and its mathematical or computational implementation. The model world is the conceptual realm in which we explicitly declare the rules - usually some simplification of 'real world' processes as we understand them. Computing details of informative scenarios in these model worlds is a task requiring specialist knowledge, but all other aspects of the modelling process, from describing the model world to identifying the scenarios and interpreting model outputs, should be understandable to anyone with an interest in the epidemic.
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Registered trials
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