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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6137946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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