Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
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
_version_ 1782414447217737728
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
work_keys_str_mv AT reinerrobertc mappingresidualtransmissionformalariaelimination
AT lemenacharnaud mappingresidualtransmissionformalariaelimination
AT kunenesimon mappingresidualtransmissionformalariaelimination
AT ntshalintshalinyasatu mappingresidualtransmissionformalariaelimination
AT hsiangmichelles mappingresidualtransmissionformalariaelimination
AT perkinstalex mappingresidualtransmissionformalariaelimination
AT greenhousebryan mappingresidualtransmissionformalariaelimination
AT tatemandrewj mappingresidualtransmissionformalariaelimination
AT cohenjustinm mappingresidualtransmissionformalariaelimination
AT smithdavidl mappingresidualtransmissionformalariaelimination