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On estimating the number of people with known HIV positive status

OBJECTIVE: In 2014, the Joint United Nations Program on HIV and AIDS (UNAIDS) and partners set the ‘90-90-90 targets’. Many countries are facing the challenge of estimating the first 90. Our objective was to propose an alternative modelling procedure, and to discuss its usefulness for taking into ac...

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Autores principales: Nguefack-Tsague, Georges, Billong, Serge Clotaire, Tiemtore, Ousseni W., Zeh Meka, Albert Frank, Diallo, Ismael, Bongwong, Brian, Ngoufack, Marie Nicole, Mvilongo, Ernest, Ndowa, Yemurai, Diallo, Houssey, Clary, Bruno, Takpa, Koubagnine, Guiard-Schmid, Jean-Baptiste, Bonono, Leonard, Elat-Nfetam, Jean-Bosco, Zhao, Jinkou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047381/
https://www.ncbi.nlm.nih.gov/pubmed/32106876
http://dx.doi.org/10.1186/s13104-020-04957-y
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author Nguefack-Tsague, Georges
Billong, Serge Clotaire
Tiemtore, Ousseni W.
Zeh Meka, Albert Frank
Diallo, Ismael
Bongwong, Brian
Ngoufack, Marie Nicole
Mvilongo, Ernest
Ndowa, Yemurai
Diallo, Houssey
Clary, Bruno
Takpa, Koubagnine
Guiard-Schmid, Jean-Baptiste
Bonono, Leonard
Elat-Nfetam, Jean-Bosco
Zhao, Jinkou
author_facet Nguefack-Tsague, Georges
Billong, Serge Clotaire
Tiemtore, Ousseni W.
Zeh Meka, Albert Frank
Diallo, Ismael
Bongwong, Brian
Ngoufack, Marie Nicole
Mvilongo, Ernest
Ndowa, Yemurai
Diallo, Houssey
Clary, Bruno
Takpa, Koubagnine
Guiard-Schmid, Jean-Baptiste
Bonono, Leonard
Elat-Nfetam, Jean-Bosco
Zhao, Jinkou
author_sort Nguefack-Tsague, Georges
collection PubMed
description OBJECTIVE: In 2014, the Joint United Nations Program on HIV and AIDS (UNAIDS) and partners set the ‘90-90-90 targets’. Many countries are facing the challenge of estimating the first 90. Our objective was to propose an alternative modelling procedure, and to discuss its usefulness for taking into account duplication. RESULTS: For deduplication, we identified two important ingredients: the probability for an HIV+ person of being re-tested during the period and average number of HIV+ tests. Other adjusted factors included: the false positive probability; the death and emigration probabilities. The uncertainty of the adjusted estimate was assessed using the plausibility bounds and sensitivity analysis. The proposed method was applied to Cameroon for the period 1987–2016. Of the 560,000 people living with HIV estimated from UNAIDS in 2016; 504,000 out to know their status. The model estimates that 380,464 [379,257, 381,674] know their status (75.5%); thus 179,536 who do not know their status should be sought through the intensification of testing. These results were subsequently used for constructing the full 2016 Cameroon HIV cascade for identifying programmatic gap, prioritizing the resources, and guiding the strategies of the 2018–2022 National Strategy Plan and funding request.
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spelling pubmed-70473812020-03-03 On estimating the number of people with known HIV positive status Nguefack-Tsague, Georges Billong, Serge Clotaire Tiemtore, Ousseni W. Zeh Meka, Albert Frank Diallo, Ismael Bongwong, Brian Ngoufack, Marie Nicole Mvilongo, Ernest Ndowa, Yemurai Diallo, Houssey Clary, Bruno Takpa, Koubagnine Guiard-Schmid, Jean-Baptiste Bonono, Leonard Elat-Nfetam, Jean-Bosco Zhao, Jinkou BMC Res Notes Research Note OBJECTIVE: In 2014, the Joint United Nations Program on HIV and AIDS (UNAIDS) and partners set the ‘90-90-90 targets’. Many countries are facing the challenge of estimating the first 90. Our objective was to propose an alternative modelling procedure, and to discuss its usefulness for taking into account duplication. RESULTS: For deduplication, we identified two important ingredients: the probability for an HIV+ person of being re-tested during the period and average number of HIV+ tests. Other adjusted factors included: the false positive probability; the death and emigration probabilities. The uncertainty of the adjusted estimate was assessed using the plausibility bounds and sensitivity analysis. The proposed method was applied to Cameroon for the period 1987–2016. Of the 560,000 people living with HIV estimated from UNAIDS in 2016; 504,000 out to know their status. The model estimates that 380,464 [379,257, 381,674] know their status (75.5%); thus 179,536 who do not know their status should be sought through the intensification of testing. These results were subsequently used for constructing the full 2016 Cameroon HIV cascade for identifying programmatic gap, prioritizing the resources, and guiding the strategies of the 2018–2022 National Strategy Plan and funding request. BioMed Central 2020-02-27 /pmc/articles/PMC7047381/ /pubmed/32106876 http://dx.doi.org/10.1186/s13104-020-04957-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Nguefack-Tsague, Georges
Billong, Serge Clotaire
Tiemtore, Ousseni W.
Zeh Meka, Albert Frank
Diallo, Ismael
Bongwong, Brian
Ngoufack, Marie Nicole
Mvilongo, Ernest
Ndowa, Yemurai
Diallo, Houssey
Clary, Bruno
Takpa, Koubagnine
Guiard-Schmid, Jean-Baptiste
Bonono, Leonard
Elat-Nfetam, Jean-Bosco
Zhao, Jinkou
On estimating the number of people with known HIV positive status
title On estimating the number of people with known HIV positive status
title_full On estimating the number of people with known HIV positive status
title_fullStr On estimating the number of people with known HIV positive status
title_full_unstemmed On estimating the number of people with known HIV positive status
title_short On estimating the number of people with known HIV positive status
title_sort on estimating the number of people with known hiv positive status
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047381/
https://www.ncbi.nlm.nih.gov/pubmed/32106876
http://dx.doi.org/10.1186/s13104-020-04957-y
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