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Mapping residual transmission for malaria elimination
Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections. In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must be...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744184/ https://www.ncbi.nlm.nih.gov/pubmed/26714110 http://dx.doi.org/10.7554/eLife.09520 |
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author | Reiner, Robert C Le Menach, Arnaud Kunene, Simon Ntshalintshali, Nyasatu Hsiang, Michelle S Perkins, T Alex Greenhouse, Bryan Tatem, Andrew J Cohen, Justin M Smith, David L |
author_facet | Reiner, Robert C Le Menach, Arnaud Kunene, Simon Ntshalintshali, Nyasatu Hsiang, Michelle S Perkins, T Alex Greenhouse, Bryan Tatem, Andrew J Cohen, Justin M Smith, David L |
author_sort | Reiner, Robert C |
collection | PubMed |
description | Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections. In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show ‘malariogenic potential’, a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination. DOI: http://dx.doi.org/10.7554/eLife.09520.001 |
format | Online Article Text |
id | pubmed-4744184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47441842016-02-08 Mapping residual transmission for malaria elimination Reiner, Robert C Le Menach, Arnaud Kunene, Simon Ntshalintshali, Nyasatu Hsiang, Michelle S Perkins, T Alex Greenhouse, Bryan Tatem, Andrew J Cohen, Justin M Smith, David L eLife Ecology Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections. In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show ‘malariogenic potential’, a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination. DOI: http://dx.doi.org/10.7554/eLife.09520.001 eLife Sciences Publications, Ltd 2015-12-29 /pmc/articles/PMC4744184/ /pubmed/26714110 http://dx.doi.org/10.7554/eLife.09520 Text en © 2015, Reiner et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Ecology Reiner, Robert C Le Menach, Arnaud Kunene, Simon Ntshalintshali, Nyasatu Hsiang, Michelle S Perkins, T Alex Greenhouse, Bryan Tatem, Andrew J Cohen, Justin M Smith, David L Mapping residual transmission for malaria elimination |
title | Mapping residual transmission for malaria elimination |
title_full | Mapping residual transmission for malaria elimination |
title_fullStr | Mapping residual transmission for malaria elimination |
title_full_unstemmed | Mapping residual transmission for malaria elimination |
title_short | Mapping residual transmission for malaria elimination |
title_sort | mapping residual transmission for malaria elimination |
topic | Ecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744184/ https://www.ncbi.nlm.nih.gov/pubmed/26714110 http://dx.doi.org/10.7554/eLife.09520 |
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