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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-7919087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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