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Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa
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 conceptu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843995/ https://www.ncbi.nlm.nih.gov/pubmed/29568647 http://dx.doi.org/10.4102/sajhivmed.v19i1.756 |
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author | Geffen, Nathan Welte, Alex |
author_facet | Geffen, Nathan Welte, Alex |
author_sort | Geffen, Nathan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5843995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-58439952018-03-22 Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa Geffen, Nathan Welte, Alex South Afr J HIV Med Original Research 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. AOSIS 2018-02-21 /pmc/articles/PMC5843995/ /pubmed/29568647 http://dx.doi.org/10.4102/sajhivmed.v19i1.756 Text en © 2018. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Geffen, Nathan Welte, Alex Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title | Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title_full | Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title_fullStr | Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title_full_unstemmed | Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title_short | Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa |
title_sort | modelling the human immunodeficiency virus (hiv) epidemic: a review of the substance and role of models in south africa |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843995/ https://www.ncbi.nlm.nih.gov/pubmed/29568647 http://dx.doi.org/10.4102/sajhivmed.v19i1.756 |
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