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Population Size Estimation Methods: Searching for the Holy Grail
Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746490/ https://www.ncbi.nlm.nih.gov/pubmed/33270035 http://dx.doi.org/10.2196/25076 |
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author | Neal, Joyce J Prybylski, Dimitri Sanchez, Travis Hladik, Wolfgang |
author_facet | Neal, Joyce J Prybylski, Dimitri Sanchez, Travis Hladik, Wolfgang |
author_sort | Neal, Joyce J |
collection | PubMed |
description | Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information. |
format | Online Article Text |
id | pubmed-7746490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77464902020-12-21 Population Size Estimation Methods: Searching for the Holy Grail Neal, Joyce J Prybylski, Dimitri Sanchez, Travis Hladik, Wolfgang JMIR Public Health Surveill Editorial Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information. JMIR Publications 2020-12-03 /pmc/articles/PMC7746490/ /pubmed/33270035 http://dx.doi.org/10.2196/25076 Text en ©Joyce J Neal, Dimitri Prybylski, Travis Sanchez, Wolfgang Hladik. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 03.12.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Editorial Neal, Joyce J Prybylski, Dimitri Sanchez, Travis Hladik, Wolfgang Population Size Estimation Methods: Searching for the Holy Grail |
title | Population Size Estimation Methods: Searching for the Holy Grail |
title_full | Population Size Estimation Methods: Searching for the Holy Grail |
title_fullStr | Population Size Estimation Methods: Searching for the Holy Grail |
title_full_unstemmed | Population Size Estimation Methods: Searching for the Holy Grail |
title_short | Population Size Estimation Methods: Searching for the Holy Grail |
title_sort | population size estimation methods: searching for the holy grail |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746490/ https://www.ncbi.nlm.nih.gov/pubmed/33270035 http://dx.doi.org/10.2196/25076 |
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