Spatial fine-resolution model of malaria risk for the Colombian Pacific region

To categorise and map, at high resolution, the risk of malaria incidence in the Pacificregion, the main malaria-endemic region of Colombia.methodsThe relationship between the environmental variables Normalized Difference VegetationIndex Normalized Difference Water Index, Topographic Wetness Index, p...

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Autores:
Piedrahíta Hernández, Stéfani Andrea
Altamiranda Saavedra, Mariano Augusto
Correa Ochoa, Margarita María
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Tecnológico de Antioquia
Repositorio:
Repositorio Tdea
Idioma:
eng
OAI Identifier:
oai:dspace.tdea.edu.co:tdea/2780
Acceso en línea:
https://dspace.tdea.edu.co/handle/tdea/2780
Palabra clave:
Malaria
Malária
Risk
Riesgo
Risco
Colombia
Colômbia
Anopheles
Incidencia
Incidence
Incidência
Environmental variables
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
Description
Summary:To categorise and map, at high resolution, the risk of malaria incidence in the Pacificregion, the main malaria-endemic region of Colombia.methodsThe relationship between the environmental variables Normalized Difference VegetationIndex Normalized Difference Water Index, Topographic Wetness Index, precipitation andtemperature with the observed Annual Parasitic Index was evaluated using a generalised linear model.An incidence risk map at a resolution of 1 km2was constructed and projected to the entire endemicregion. Associations of malaria risk categories with both presence records and co-occurrence of thethree main malaria vectors were determined.resultsA significant correlation was found for the incidence of malaria with precipitation andNormalized Difference Vegetation Index (R2= 0.98,P<0.05), whereas there was no significantcorrelation with the remaining environmental and topographic variables. Moderate- to high-risk areaswere located mainly in central Choc o Department along the San Juan and Atrato rivers and in areaswest of the Cauca River and Pacific lowlands of the Andes Mountains. There was a statisticallysignificant relationship for the presence of the two main vectorsAnopheles darlingiandAnophelesnuneztovariwith the high malaria risk category. Furthermore, malaria risk was directly proportionalto the number of co-occurring vector species.conclusionsThe map obtained provides useful information on the risk of malaria in particularplaces of the Colombian Pacific region. The data can be used by public entities to optimise theallocation of economic resources for vector control interventions and surveillance.keywordsmalaria, incidence, risk,Anopheles, environmental variables, Colombia