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Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia
BACKGROUND: Malaria incidence worldwide has steadily declined over the past decades. Consequently, increasingly more countries will proceed from control to elimination. The malaria distribution in low incidence settings appears patchy, and local transmission hotspots are a continuous source of infec...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190307/ https://www.ncbi.nlm.nih.gov/pubmed/25269827 http://dx.doi.org/10.1186/1475-2875-13-387 |
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author | Sluydts, Vincent Heng, Somony Coosemans, Marc Van Roey, Karel Gryseels, Charlotte Canier, Lydie Kim, Saorin Khim, Nimol Siv, Sovannaroth Mean, Vanna Uk, Sambunny Grietens, Koen Peeters Tho, Sochantha Menard, Didier Durnez, Lies |
author_facet | Sluydts, Vincent Heng, Somony Coosemans, Marc Van Roey, Karel Gryseels, Charlotte Canier, Lydie Kim, Saorin Khim, Nimol Siv, Sovannaroth Mean, Vanna Uk, Sambunny Grietens, Koen Peeters Tho, Sochantha Menard, Didier Durnez, Lies |
author_sort | Sluydts, Vincent |
collection | PubMed |
description | BACKGROUND: Malaria incidence worldwide has steadily declined over the past decades. Consequently, increasingly more countries will proceed from control to elimination. The malaria distribution in low incidence settings appears patchy, and local transmission hotspots are a continuous source of infection. In this study, species-specific clusters and associated risk factors were identified based on malaria prevalence data collected in the north-east of Cambodia. In addition, Plasmodium falciparum genetic diversity, population structure and gene flows were studied. METHOD: In 2012, blood samples from 5793 randomly selected individuals living in 117 villages were collected from Ratanakiri province, Cambodia. Malariometric data of each participant were simultaneously accumulated using a standard questionnaire. A two-step PCR allowed for species-specific detection of malaria parasites, and SNP-genotyping of P. falciparum was performed. SaTScan was used to determine species-specific areas of elevated risk to infection, and univariate and multivariate risk analyses were carried out. RESULT: PCR diagnosis found 368 positive individuals (6.4%) for malaria parasites, of which 22% contained mixed species infections. The occurrence of these co-infections was more frequent than expected. Specific areas with elevated risk of infection were detected for all Plasmodium species. The clusters for Falciparum, Vivax and Ovale malaria appeared in the north of the province along the main river, while the cluster for Malariae malaria was situated elsewhere. The relative risk to be a malaria parasite carrier within clusters along the river was twice that outside the area. The main risk factor associated with three out of four malaria species was overnight stay in the plot hut, a human behaviour associated with indigenous farming. Haplotypes did not show clear geographical population structure, but pairwise Fst value comparison indicated higher parasite flow along the river. DISCUSSION: Spatial aggregation of malaria parasite carriers, and the identification of malaria species-specific risk factors provide key insights in malaria epidemiology in low transmission settings, which can guide targeted supplementary interventions. Consequently, future malaria programmes in the province should implement additional specific policies targeting households staying overnight at their farms outside the village, in addition to migrants and forest workers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-387) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4190307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41903072014-10-10 Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia Sluydts, Vincent Heng, Somony Coosemans, Marc Van Roey, Karel Gryseels, Charlotte Canier, Lydie Kim, Saorin Khim, Nimol Siv, Sovannaroth Mean, Vanna Uk, Sambunny Grietens, Koen Peeters Tho, Sochantha Menard, Didier Durnez, Lies Malar J Research BACKGROUND: Malaria incidence worldwide has steadily declined over the past decades. Consequently, increasingly more countries will proceed from control to elimination. The malaria distribution in low incidence settings appears patchy, and local transmission hotspots are a continuous source of infection. In this study, species-specific clusters and associated risk factors were identified based on malaria prevalence data collected in the north-east of Cambodia. In addition, Plasmodium falciparum genetic diversity, population structure and gene flows were studied. METHOD: In 2012, blood samples from 5793 randomly selected individuals living in 117 villages were collected from Ratanakiri province, Cambodia. Malariometric data of each participant were simultaneously accumulated using a standard questionnaire. A two-step PCR allowed for species-specific detection of malaria parasites, and SNP-genotyping of P. falciparum was performed. SaTScan was used to determine species-specific areas of elevated risk to infection, and univariate and multivariate risk analyses were carried out. RESULT: PCR diagnosis found 368 positive individuals (6.4%) for malaria parasites, of which 22% contained mixed species infections. The occurrence of these co-infections was more frequent than expected. Specific areas with elevated risk of infection were detected for all Plasmodium species. The clusters for Falciparum, Vivax and Ovale malaria appeared in the north of the province along the main river, while the cluster for Malariae malaria was situated elsewhere. The relative risk to be a malaria parasite carrier within clusters along the river was twice that outside the area. The main risk factor associated with three out of four malaria species was overnight stay in the plot hut, a human behaviour associated with indigenous farming. Haplotypes did not show clear geographical population structure, but pairwise Fst value comparison indicated higher parasite flow along the river. DISCUSSION: Spatial aggregation of malaria parasite carriers, and the identification of malaria species-specific risk factors provide key insights in malaria epidemiology in low transmission settings, which can guide targeted supplementary interventions. Consequently, future malaria programmes in the province should implement additional specific policies targeting households staying overnight at their farms outside the village, in addition to migrants and forest workers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-387) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-30 /pmc/articles/PMC4190307/ /pubmed/25269827 http://dx.doi.org/10.1186/1475-2875-13-387 Text en © Sluydts et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Sluydts, Vincent Heng, Somony Coosemans, Marc Van Roey, Karel Gryseels, Charlotte Canier, Lydie Kim, Saorin Khim, Nimol Siv, Sovannaroth Mean, Vanna Uk, Sambunny Grietens, Koen Peeters Tho, Sochantha Menard, Didier Durnez, Lies Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title | Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title_full | Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title_fullStr | Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title_full_unstemmed | Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title_short | Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia |
title_sort | spatial clustering and risk factors of malaria infections in ratanakiri province, cambodia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190307/ https://www.ncbi.nlm.nih.gov/pubmed/25269827 http://dx.doi.org/10.1186/1475-2875-13-387 |
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