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Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa

OBJECTIVE: The UNAIDS modes of transmission model (MoT) is a user-friendly model, developed to predict the distribution of new HIV infections among different subgroups. The model has been used in 29 countries to guide interventions. However, there is the risk that the simplifications inherent in the...

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Autores principales: Prudden, Holly J., Watts, Charlotte H., Vickerman, Peter, Bobrova, Natalia, Heise, Lori, Ogungbemi, Michael K., Momah, Amaka, Blanchard, James F., Foss, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815012/
https://www.ncbi.nlm.nih.gov/pubmed/23921619
http://dx.doi.org/10.1097/01.aids.0000432476.22616.2f
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author Prudden, Holly J.
Watts, Charlotte H.
Vickerman, Peter
Bobrova, Natalia
Heise, Lori
Ogungbemi, Michael K.
Momah, Amaka
Blanchard, James F.
Foss, Anna M.
author_facet Prudden, Holly J.
Watts, Charlotte H.
Vickerman, Peter
Bobrova, Natalia
Heise, Lori
Ogungbemi, Michael K.
Momah, Amaka
Blanchard, James F.
Foss, Anna M.
author_sort Prudden, Holly J.
collection PubMed
description OBJECTIVE: The UNAIDS modes of transmission model (MoT) is a user-friendly model, developed to predict the distribution of new HIV infections among different subgroups. The model has been used in 29 countries to guide interventions. However, there is the risk that the simplifications inherent in the MoT produce misleading findings. Using input data from Nigeria, we compare projections from the MoT with those from a revised model that incorporates additional heterogeneity. METHODS: We revised the MoT to explicitly incorporate brothel and street-based sex-work, transactional sex, and HIV-discordant couples. Both models were parameterized using behavioural and epidemiological data from Cross River State, Nigeria. Model projections were compared, and the robustness of the revised model projections to different model assumptions, was investigated. RESULTS: The original MoT predicts 21% of new infections occur in most-at-risk-populations (MARPs), compared with 45% (40–75%, 95% Crl) once additional heterogeneity and updated parameterization is incorporated. Discordant couples, a subgroup previously not explicitly modelled, are predicted to contribute a third of new HIV infections. In addition, the new findings suggest that women engaging in transactional sex may be an important but previously less recognized risk group, with 16% of infections occurring in this subgroup. CONCLUSION: The MoT is an accessible model that can inform intervention priorities. However, the current model may be potentially misleading, with our comparisons in Nigeria suggesting that the model lacks resolution, making it challenging for the user to correctly interpret the nature of the epidemic. Our findings highlight the need for a formal review of the MoT.
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spelling pubmed-38150122013-11-04 Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa Prudden, Holly J. Watts, Charlotte H. Vickerman, Peter Bobrova, Natalia Heise, Lori Ogungbemi, Michael K. Momah, Amaka Blanchard, James F. Foss, Anna M. AIDS Epidemiology and Social OBJECTIVE: The UNAIDS modes of transmission model (MoT) is a user-friendly model, developed to predict the distribution of new HIV infections among different subgroups. The model has been used in 29 countries to guide interventions. However, there is the risk that the simplifications inherent in the MoT produce misleading findings. Using input data from Nigeria, we compare projections from the MoT with those from a revised model that incorporates additional heterogeneity. METHODS: We revised the MoT to explicitly incorporate brothel and street-based sex-work, transactional sex, and HIV-discordant couples. Both models were parameterized using behavioural and epidemiological data from Cross River State, Nigeria. Model projections were compared, and the robustness of the revised model projections to different model assumptions, was investigated. RESULTS: The original MoT predicts 21% of new infections occur in most-at-risk-populations (MARPs), compared with 45% (40–75%, 95% Crl) once additional heterogeneity and updated parameterization is incorporated. Discordant couples, a subgroup previously not explicitly modelled, are predicted to contribute a third of new HIV infections. In addition, the new findings suggest that women engaging in transactional sex may be an important but previously less recognized risk group, with 16% of infections occurring in this subgroup. CONCLUSION: The MoT is an accessible model that can inform intervention priorities. However, the current model may be potentially misleading, with our comparisons in Nigeria suggesting that the model lacks resolution, making it challenging for the user to correctly interpret the nature of the epidemic. Our findings highlight the need for a formal review of the MoT. Lippincott Williams & Wilkins 2013-10-23 2013-10-09 /pmc/articles/PMC3815012/ /pubmed/23921619 http://dx.doi.org/10.1097/01.aids.0000432476.22616.2f Text en © 2013 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivitives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.
spellingShingle Epidemiology and Social
Prudden, Holly J.
Watts, Charlotte H.
Vickerman, Peter
Bobrova, Natalia
Heise, Lori
Ogungbemi, Michael K.
Momah, Amaka
Blanchard, James F.
Foss, Anna M.
Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title_full Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title_fullStr Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title_full_unstemmed Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title_short Can the UNAIDS modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west Africa
title_sort can the unaids modes of transmission model be improved?: a comparison of the original and revised model projections using data from a setting in west africa
topic Epidemiology and Social
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815012/
https://www.ncbi.nlm.nih.gov/pubmed/23921619
http://dx.doi.org/10.1097/01.aids.0000432476.22616.2f
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