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Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia

BACKGROUND: Despite the biological plausibility of hotspots fueling malaria transmission, the evidence to support this concept has been mixed. If transmission spreads from high burden to low burden households in a consistent manner, then this could have important implications for control and elimina...

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Autores principales: Stresman, Gillian H., Mwesigwa, Julia, Achan, Jane, Giorgi, Emanuele, Worwui, Archibald, Jawara, Musa, Di Tanna, Gian Luca, Bousema, Teun, Van Geertruyden, Jean-Pierre, Drakeley, Chris, D’Alessandro, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137946/
https://www.ncbi.nlm.nih.gov/pubmed/30213275
http://dx.doi.org/10.1186/s12916-018-1141-4
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author Stresman, Gillian H.
Mwesigwa, Julia
Achan, Jane
Giorgi, Emanuele
Worwui, Archibald
Jawara, Musa
Di Tanna, Gian Luca
Bousema, Teun
Van Geertruyden, Jean-Pierre
Drakeley, Chris
D’Alessandro, Umberto
author_facet Stresman, Gillian H.
Mwesigwa, Julia
Achan, Jane
Giorgi, Emanuele
Worwui, Archibald
Jawara, Musa
Di Tanna, Gian Luca
Bousema, Teun
Van Geertruyden, Jean-Pierre
Drakeley, Chris
D’Alessandro, Umberto
author_sort Stresman, Gillian H.
collection PubMed
description BACKGROUND: Despite the biological plausibility of hotspots fueling malaria transmission, the evidence to support this concept has been mixed. If transmission spreads from high burden to low burden households in a consistent manner, then this could have important implications for control and elimination program development. METHODS: Data from a longitudinal cohort in The Gambia was analyzed. All consenting individuals residing in 12 villages across the country were sampled monthly from June (dry season) to December 2013 (wet season), in April 2014 (mid dry season), and monthly from June to December 2014. A study nurse stationed within each village recorded passively detected malaria episodes between visits. Plasmodium falciparum infections were determined by polymerase chain reaction and analyzed using a geostatistical model. RESULTS: Household-level observed monthly incidence ranged from 0 to 0.50 infection per person (interquartile range = 0.02–0.10) across the sampling months, and high burden households exist across all study villages. There was limited evidence of a spatio-temporal pattern at the monthly timescale irrespective of transmission intensity. Within-household transmission was the most plausible hypothesis examined to explain the observed heterogeneity in infections. CONCLUSIONS: Within-village malaria transmission patterns are concentrated in a small proportion of high burden households, but patterns are stochastic regardless of endemicity. Our findings support the notion of transmission occurring at the household and village scales but not the use of a targeted approach to interrupt spreading of infections from high to low burden areas within villages in this setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1141-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-61379462018-09-15 Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia Stresman, Gillian H. Mwesigwa, Julia Achan, Jane Giorgi, Emanuele Worwui, Archibald Jawara, Musa Di Tanna, Gian Luca Bousema, Teun Van Geertruyden, Jean-Pierre Drakeley, Chris D’Alessandro, Umberto BMC Med Research Article BACKGROUND: Despite the biological plausibility of hotspots fueling malaria transmission, the evidence to support this concept has been mixed. If transmission spreads from high burden to low burden households in a consistent manner, then this could have important implications for control and elimination program development. METHODS: Data from a longitudinal cohort in The Gambia was analyzed. All consenting individuals residing in 12 villages across the country were sampled monthly from June (dry season) to December 2013 (wet season), in April 2014 (mid dry season), and monthly from June to December 2014. A study nurse stationed within each village recorded passively detected malaria episodes between visits. Plasmodium falciparum infections were determined by polymerase chain reaction and analyzed using a geostatistical model. RESULTS: Household-level observed monthly incidence ranged from 0 to 0.50 infection per person (interquartile range = 0.02–0.10) across the sampling months, and high burden households exist across all study villages. There was limited evidence of a spatio-temporal pattern at the monthly timescale irrespective of transmission intensity. Within-household transmission was the most plausible hypothesis examined to explain the observed heterogeneity in infections. CONCLUSIONS: Within-village malaria transmission patterns are concentrated in a small proportion of high burden households, but patterns are stochastic regardless of endemicity. Our findings support the notion of transmission occurring at the household and village scales but not the use of a targeted approach to interrupt spreading of infections from high to low burden areas within villages in this setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1141-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-14 /pmc/articles/PMC6137946/ /pubmed/30213275 http://dx.doi.org/10.1186/s12916-018-1141-4 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 Research Article
Stresman, Gillian H.
Mwesigwa, Julia
Achan, Jane
Giorgi, Emanuele
Worwui, Archibald
Jawara, Musa
Di Tanna, Gian Luca
Bousema, Teun
Van Geertruyden, Jean-Pierre
Drakeley, Chris
D’Alessandro, Umberto
Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title_full Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title_fullStr Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title_full_unstemmed Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title_short Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
title_sort do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in the gambia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137946/
https://www.ncbi.nlm.nih.gov/pubmed/30213275
http://dx.doi.org/10.1186/s12916-018-1141-4
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