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A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots
Malaria transmission is spatially heterogeneous. This reduces the efficacy of control strategies, but focusing control strategies on clusters or ‘hotspots’ of transmission may be highly effective. Among 1500 homesteads in coastal Kenya we calculated (a) the fraction of febrile children with positive...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999589/ https://www.ncbi.nlm.nih.gov/pubmed/24843017 http://dx.doi.org/10.7554/eLife.02130 |
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author | Bejon, Philip Williams, Thomas N Nyundo, Christopher Hay, Simon I Benz, David Gething, Peter W Otiende, Mark Peshu, Judy Bashraheil, Mahfudh Greenhouse, Bryan Bousema, Teun Bauni, Evasius Marsh, Kevin Smith, David L Borrmann, Steffen |
author_facet | Bejon, Philip Williams, Thomas N Nyundo, Christopher Hay, Simon I Benz, David Gething, Peter W Otiende, Mark Peshu, Judy Bashraheil, Mahfudh Greenhouse, Bryan Bousema, Teun Bauni, Evasius Marsh, Kevin Smith, David L Borrmann, Steffen |
author_sort | Bejon, Philip |
collection | PubMed |
description | Malaria transmission is spatially heterogeneous. This reduces the efficacy of control strategies, but focusing control strategies on clusters or ‘hotspots’ of transmission may be highly effective. Among 1500 homesteads in coastal Kenya we calculated (a) the fraction of febrile children with positive malaria smears per homestead, and (b) the mean age of children with malaria per homestead. These two measures were inversely correlated, indicating that children in homesteads at higher transmission acquire immunity more rapidly. This inverse correlation increased gradually with increasing spatial scale of analysis, and hotspots of febrile malaria were identified at every scale. We found hotspots within hotspots, down to the level of an individual homestead. Febrile malaria hotspots were temporally unstable, but 4 km radius hotspots could be targeted for 1 month following 1 month periods of surveillance. DOI: http://dx.doi.org/10.7554/eLife.02130.001 |
format | Online Article Text |
id | pubmed-3999589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39995892014-05-22 A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots Bejon, Philip Williams, Thomas N Nyundo, Christopher Hay, Simon I Benz, David Gething, Peter W Otiende, Mark Peshu, Judy Bashraheil, Mahfudh Greenhouse, Bryan Bousema, Teun Bauni, Evasius Marsh, Kevin Smith, David L Borrmann, Steffen eLife Epidemiology and Global Health Malaria transmission is spatially heterogeneous. This reduces the efficacy of control strategies, but focusing control strategies on clusters or ‘hotspots’ of transmission may be highly effective. Among 1500 homesteads in coastal Kenya we calculated (a) the fraction of febrile children with positive malaria smears per homestead, and (b) the mean age of children with malaria per homestead. These two measures were inversely correlated, indicating that children in homesteads at higher transmission acquire immunity more rapidly. This inverse correlation increased gradually with increasing spatial scale of analysis, and hotspots of febrile malaria were identified at every scale. We found hotspots within hotspots, down to the level of an individual homestead. Febrile malaria hotspots were temporally unstable, but 4 km radius hotspots could be targeted for 1 month following 1 month periods of surveillance. DOI: http://dx.doi.org/10.7554/eLife.02130.001 eLife Sciences Publications, Ltd 2014-04-24 /pmc/articles/PMC3999589/ /pubmed/24843017 http://dx.doi.org/10.7554/eLife.02130 Text en Copyright © 2014, Bejon et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Bejon, Philip Williams, Thomas N Nyundo, Christopher Hay, Simon I Benz, David Gething, Peter W Otiende, Mark Peshu, Judy Bashraheil, Mahfudh Greenhouse, Bryan Bousema, Teun Bauni, Evasius Marsh, Kevin Smith, David L Borrmann, Steffen A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title | A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title_full | A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title_fullStr | A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title_full_unstemmed | A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title_short | A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots |
title_sort | micro-epidemiological analysis of febrile malaria in coastal kenya showing hotspots within hotspots |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999589/ https://www.ncbi.nlm.nih.gov/pubmed/24843017 http://dx.doi.org/10.7554/eLife.02130 |
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