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A multi-criteria decision analysis approach to assessing malaria risk in northern South America

BACKGROUND: Malaria control in South America has vastly improved in the past decade, leading to a decrease in the malaria burden. Despite the progress, large parts of the continent continue to be at risk of malaria transmission, especially in northern South America. The objectives of this study were...

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Autores principales: Alimi, Temitope O., Fuller, Douglas O., Herrera, Socrates V., Arevalo-Herrera, Myriam, Quinones, Martha L., Stoler, Justin B., Beier, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778356/
https://www.ncbi.nlm.nih.gov/pubmed/26940004
http://dx.doi.org/10.1186/s12889-016-2902-7
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author Alimi, Temitope O.
Fuller, Douglas O.
Herrera, Socrates V.
Arevalo-Herrera, Myriam
Quinones, Martha L.
Stoler, Justin B.
Beier, John C.
author_facet Alimi, Temitope O.
Fuller, Douglas O.
Herrera, Socrates V.
Arevalo-Herrera, Myriam
Quinones, Martha L.
Stoler, Justin B.
Beier, John C.
author_sort Alimi, Temitope O.
collection PubMed
description BACKGROUND: Malaria control in South America has vastly improved in the past decade, leading to a decrease in the malaria burden. Despite the progress, large parts of the continent continue to be at risk of malaria transmission, especially in northern South America. The objectives of this study were to assess the risk of malaria transmission and vector exposure in northern South America using multi-criteria decision analysis. METHODS: The risk of malaria transmission and vector exposure in northern South America was assessed using multi-criteria decision analysis, in which expert opinions were taken on the key environmental and population risk factors. RESULTS: Results from our risk maps indicated areas of moderate-to-high risk along rivers in the Amazon basin, along the coasts of the Guianas, the Pacific coast of Colombia and northern Colombia, in parts of Peru and Bolivia and within the Brazilian Amazon. When validated with occurrence records for malaria, An. darlingi, An. albimanus and An. nuneztovari s.l., t-test results indicated that risk scores at occurrence locations were significantly higher (p < 0.0001) than a control group of geographically random points. CONCLUSION: In this study, we produced risk maps based on expert opinion on the spatial representation of risk of potential vector exposure and malaria transmission. The findings provide information to the public health decision maker/policy makers to give additional attention to the spatial planning of effective vector control measures. Therefore, as the region tackles the challenge of malaria elimination, prioritizing areas for interventions by using spatially accurate, high-resolution (1 km or less) risk maps may guide targeted control and help reduce the disease burden in the region.
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spelling pubmed-47783562016-03-05 A multi-criteria decision analysis approach to assessing malaria risk in northern South America Alimi, Temitope O. Fuller, Douglas O. Herrera, Socrates V. Arevalo-Herrera, Myriam Quinones, Martha L. Stoler, Justin B. Beier, John C. BMC Public Health Research Article BACKGROUND: Malaria control in South America has vastly improved in the past decade, leading to a decrease in the malaria burden. Despite the progress, large parts of the continent continue to be at risk of malaria transmission, especially in northern South America. The objectives of this study were to assess the risk of malaria transmission and vector exposure in northern South America using multi-criteria decision analysis. METHODS: The risk of malaria transmission and vector exposure in northern South America was assessed using multi-criteria decision analysis, in which expert opinions were taken on the key environmental and population risk factors. RESULTS: Results from our risk maps indicated areas of moderate-to-high risk along rivers in the Amazon basin, along the coasts of the Guianas, the Pacific coast of Colombia and northern Colombia, in parts of Peru and Bolivia and within the Brazilian Amazon. When validated with occurrence records for malaria, An. darlingi, An. albimanus and An. nuneztovari s.l., t-test results indicated that risk scores at occurrence locations were significantly higher (p < 0.0001) than a control group of geographically random points. CONCLUSION: In this study, we produced risk maps based on expert opinion on the spatial representation of risk of potential vector exposure and malaria transmission. The findings provide information to the public health decision maker/policy makers to give additional attention to the spatial planning of effective vector control measures. Therefore, as the region tackles the challenge of malaria elimination, prioritizing areas for interventions by using spatially accurate, high-resolution (1 km or less) risk maps may guide targeted control and help reduce the disease burden in the region. BioMed Central 2016-03-03 /pmc/articles/PMC4778356/ /pubmed/26940004 http://dx.doi.org/10.1186/s12889-016-2902-7 Text en © Alimi et al. 2016 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
Alimi, Temitope O.
Fuller, Douglas O.
Herrera, Socrates V.
Arevalo-Herrera, Myriam
Quinones, Martha L.
Stoler, Justin B.
Beier, John C.
A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title_full A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title_fullStr A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title_full_unstemmed A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title_short A multi-criteria decision analysis approach to assessing malaria risk in northern South America
title_sort multi-criteria decision analysis approach to assessing malaria risk in northern south america
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778356/
https://www.ncbi.nlm.nih.gov/pubmed/26940004
http://dx.doi.org/10.1186/s12889-016-2902-7
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