Cargando…
Spatiotemporal analysis of malaria for new sustainable control strategies
Malaria transmission is highly heterogeneous through time and space, and mapping of this heterogeneity is necessary to better understand local dynamics. New targeted policies are needed as numerous countries have placed malaria elimination on their public health agenda for 2030. In this context, dev...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278049/ https://www.ncbi.nlm.nih.gov/pubmed/30509258 http://dx.doi.org/10.1186/s12916-018-1224-2 |
_version_ | 1783378274685026304 |
---|---|
author | Landier, Jordi Rebaudet, Stanislas Piarroux, Renaud Gaudart, Jean |
author_facet | Landier, Jordi Rebaudet, Stanislas Piarroux, Renaud Gaudart, Jean |
author_sort | Landier, Jordi |
collection | PubMed |
description | Malaria transmission is highly heterogeneous through time and space, and mapping of this heterogeneity is necessary to better understand local dynamics. New targeted policies are needed as numerous countries have placed malaria elimination on their public health agenda for 2030. In this context, developing national health information systems and collecting information at sufficiently precise scales (at least at the ‘week’ and ‘village’ scales), is of strategic importance. In a recent study, Macharia et al. relied on extensive prevalence survey data to develop malaria risk maps for Kenya, including uncertainty assessments specifically designed to support decision-making by the National Malaria Control Program. Targeting local persistent transmission or epidemiologic changes is necessary to maintain efficient control, but also to deploy sustainable elimination strategies against identified transmission bottlenecks such as the reservoir of subpatent infections. Such decision-making tools are paramount to allocate resources based on sound scientific evidence and public health priorities. Please see related article: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-018-2489-9. |
format | Online Article Text |
id | pubmed-6278049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62780492018-12-06 Spatiotemporal analysis of malaria for new sustainable control strategies Landier, Jordi Rebaudet, Stanislas Piarroux, Renaud Gaudart, Jean BMC Med Commentary Malaria transmission is highly heterogeneous through time and space, and mapping of this heterogeneity is necessary to better understand local dynamics. New targeted policies are needed as numerous countries have placed malaria elimination on their public health agenda for 2030. In this context, developing national health information systems and collecting information at sufficiently precise scales (at least at the ‘week’ and ‘village’ scales), is of strategic importance. In a recent study, Macharia et al. relied on extensive prevalence survey data to develop malaria risk maps for Kenya, including uncertainty assessments specifically designed to support decision-making by the National Malaria Control Program. Targeting local persistent transmission or epidemiologic changes is necessary to maintain efficient control, but also to deploy sustainable elimination strategies against identified transmission bottlenecks such as the reservoir of subpatent infections. Such decision-making tools are paramount to allocate resources based on sound scientific evidence and public health priorities. Please see related article: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-018-2489-9. BioMed Central 2018-12-04 /pmc/articles/PMC6278049/ /pubmed/30509258 http://dx.doi.org/10.1186/s12916-018-1224-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Commentary Landier, Jordi Rebaudet, Stanislas Piarroux, Renaud Gaudart, Jean Spatiotemporal analysis of malaria for new sustainable control strategies |
title | Spatiotemporal analysis of malaria for new sustainable control strategies |
title_full | Spatiotemporal analysis of malaria for new sustainable control strategies |
title_fullStr | Spatiotemporal analysis of malaria for new sustainable control strategies |
title_full_unstemmed | Spatiotemporal analysis of malaria for new sustainable control strategies |
title_short | Spatiotemporal analysis of malaria for new sustainable control strategies |
title_sort | spatiotemporal analysis of malaria for new sustainable control strategies |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278049/ https://www.ncbi.nlm.nih.gov/pubmed/30509258 http://dx.doi.org/10.1186/s12916-018-1224-2 |
work_keys_str_mv | AT landierjordi spatiotemporalanalysisofmalariafornewsustainablecontrolstrategies AT rebaudetstanislas spatiotemporalanalysisofmalariafornewsustainablecontrolstrategies AT piarrouxrenaud spatiotemporalanalysisofmalariafornewsustainablecontrolstrategies AT gaudartjean spatiotemporalanalysisofmalariafornewsustainablecontrolstrategies |