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Routine data for malaria morbidity estimation in Africa: challenges and prospects
BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268363/ https://www.ncbi.nlm.nih.gov/pubmed/32487080 http://dx.doi.org/10.1186/s12916-020-01593-y |
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author | Alegana, Victor A. Okiro, Emelda A. Snow, Robert W. |
author_facet | Alegana, Victor A. Okiro, Emelda A. Snow, Robert W. |
author_sort | Alegana, Victor A. |
collection | PubMed |
description | BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens. |
format | Online Article Text |
id | pubmed-7268363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72683632020-06-07 Routine data for malaria morbidity estimation in Africa: challenges and prospects Alegana, Victor A. Okiro, Emelda A. Snow, Robert W. BMC Med Opinion BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens. BioMed Central 2020-06-03 /pmc/articles/PMC7268363/ /pubmed/32487080 http://dx.doi.org/10.1186/s12916-020-01593-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 | Opinion Alegana, Victor A. Okiro, Emelda A. Snow, Robert W. Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title_full | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title_fullStr | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title_full_unstemmed | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title_short | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
title_sort | routine data for malaria morbidity estimation in africa: challenges and prospects |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268363/ https://www.ncbi.nlm.nih.gov/pubmed/32487080 http://dx.doi.org/10.1186/s12916-020-01593-y |
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