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Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy

In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-nation...

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Autores principales: Ozodiegwu, Ifeoma D., Ambrose, Monique, Battle, Katherine E., Bever, Caitlin, Diallo, Ousmane, Galatas, Beatriz, Runge, Manuela, Gerardin, Jaline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919087/
https://www.ncbi.nlm.nih.gov/pubmed/33648499
http://dx.doi.org/10.1186/s12936-021-03646-w
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author Ozodiegwu, Ifeoma D.
Ambrose, Monique
Battle, Katherine E.
Bever, Caitlin
Diallo, Ousmane
Galatas, Beatriz
Runge, Manuela
Gerardin, Jaline
author_facet Ozodiegwu, Ifeoma D.
Ambrose, Monique
Battle, Katherine E.
Bever, Caitlin
Diallo, Ousmane
Galatas, Beatriz
Runge, Manuela
Gerardin, Jaline
author_sort Ozodiegwu, Ifeoma D.
collection PubMed
description In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-national level. The Demographic and Health Surveys (DHS) Program is a critical data source for understanding subnational malaria prevalence and intervention coverage, which are used for parameterizing country-specific models of malaria transmission. However, data to estimate indicators at finer resolutions are limited, and surveys questions have a narrow scope. Examples from the Nigeria DHS are used to highlight gaps in the current survey design. Proposals are then made for additional questions and expansions to the DHS and Malaria Indicator Survey sampling strategy that would advance the data analyses and modelled estimates that inform national policy recommendations. Collaboration between the DHS Program, national malaria control programmes, the malaria modelling community, and funders is needed to address the highlighted data challenges.
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spelling pubmed-79190872021-03-02 Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy Ozodiegwu, Ifeoma D. Ambrose, Monique Battle, Katherine E. Bever, Caitlin Diallo, Ousmane Galatas, Beatriz Runge, Manuela Gerardin, Jaline Malar J Opinion In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-national level. The Demographic and Health Surveys (DHS) Program is a critical data source for understanding subnational malaria prevalence and intervention coverage, which are used for parameterizing country-specific models of malaria transmission. However, data to estimate indicators at finer resolutions are limited, and surveys questions have a narrow scope. Examples from the Nigeria DHS are used to highlight gaps in the current survey design. Proposals are then made for additional questions and expansions to the DHS and Malaria Indicator Survey sampling strategy that would advance the data analyses and modelled estimates that inform national policy recommendations. Collaboration between the DHS Program, national malaria control programmes, the malaria modelling community, and funders is needed to address the highlighted data challenges. BioMed Central 2021-03-01 /pmc/articles/PMC7919087/ /pubmed/33648499 http://dx.doi.org/10.1186/s12936-021-03646-w Text en © The Author(s) 2021 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 Opinion
Ozodiegwu, Ifeoma D.
Ambrose, Monique
Battle, Katherine E.
Bever, Caitlin
Diallo, Ousmane
Galatas, Beatriz
Runge, Manuela
Gerardin, Jaline
Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title_full Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title_fullStr Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title_full_unstemmed Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title_short Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
title_sort beyond national indicators: adapting the demographic and health surveys’ sampling strategies and questions to better inform subnational malaria intervention policy
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919087/
https://www.ncbi.nlm.nih.gov/pubmed/33648499
http://dx.doi.org/10.1186/s12936-021-03646-w
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