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Modelling the distribution of the vector Aedes aegypti in a central Argentine city
Author(s) -
Estallo E. L.,
Sangermano F.,
Grech M.,
LudueñaAlmeida F.,
FríasCespedes M.,
Ainete M.,
Almirón W.,
Livdahl T.
Publication year - 2018
Publication title -
medical and veterinary entomology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 82
eISSN - 1365-2915
pISSN - 0269-283X
DOI - 10.1111/mve.12323
Subject(s) - aedes aegypti , dengue fever , chikungunya , biology , vector (molecular biology) , aedes , outbreak , habitat , ecology , yellow fever , transmission (telecommunications) , species distribution , population , larva , virology , environmental health , virus , medicine , engineering , gene , electrical engineering , recombinant dna , biochemistry
Aedes aegypti (Diptera: Culicidae) is an urban mosquito involved in the transmission of numerous viruses, including dengue, chikungunya and Zika. In Argentina, Ae. aegypti is the main vector of dengue virus and has been involved in several outbreaks in regions ranging from northern to central Argentina since 2009. In order to evaluate areas of potential vector‐borne disease transmission in the city of Córdoba, Argentina, the present study aimed to identify the environmental, socioeconomic and demographic factors driving the distribution of Ae. aegypti larvae through spatial analysis in the form of species distribution models (SDMs). These models elucidate relationships between known occurrences of a species and environmental data in order to identify areas with suitable habitats for that species and the consequent risk for disease transmission. The maximum entropy species distribution model was able to fit the training data well, with an average area under the receiver operating characteristic curve (AUC) of > 0.8, and produced models with fair extrapolation capacity (average test AUC: > 0.75). Human population density, distance to vegetation and water channels were the main variables predictive of the vector suitability of an area. The results of this work will be used to target surveillance and prevention measures, as well as in mosquito management.