Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2014
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
_version_ 1782313509670879232
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
work_keys_str_mv AT bejonphilip amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT williamsthomasn amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT nyundochristopher amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT haysimoni amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT benzdavid amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT gethingpeterw amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT otiendemark amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT peshujudy amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT bashraheilmahfudh amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT greenhousebryan amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT bousemateun amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT baunievasius amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT marshkevin amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT smithdavidl amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT borrmannsteffen amicroepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT bejonphilip microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT williamsthomasn microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT nyundochristopher microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT haysimoni microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT benzdavid microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT gethingpeterw microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT otiendemark microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT peshujudy microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT bashraheilmahfudh microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT greenhousebryan microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT bousemateun microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT baunievasius microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT marshkevin microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT smithdavidl microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots
AT borrmannsteffen microepidemiologicalanalysisoffebrilemalariaincoastalkenyashowinghotspotswithinhotspots