Modelling the distribution of the vector Aedes aegypti in a central Argentine city

Modelling the distribution of the vector Aedes aegypti in a central Argentine city

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 Argent...

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Bibliographic Details
Published in:Medical and veterinary entomology Vol. 32; no. 4; pp. 451 - 461
Main Authors: Estallo, E. L., Sangermano, F., Grech, M., Ludueña‐Almeida, F., Frías‐Cespedes, M., Ainete, M., Almirón, W., Livdahl, T.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-12-2018
Wiley Subscription Services, Inc
Subjects:
Aedes - physiology
Aedes aegypti
Animals
Aquaporins
Area Under Curve
Argentina
Breeding
Cities
Córdoba
Demography
Dengue fever
Disease transmission
Entropy
Environment
Female
MaxEnt
Models, Biological
mosquito
Mosquito Vectors - physiology
Outbreaks
Population density
prediction
risk
ROC Curve
SDMs
Socioeconomic Factors
Spatial Analysis
Species
species distribution models
Vector-borne diseases
Argentina
Cities
SDMs
Argentina
MaxEnt
species distribution models
prediction
Aedes aegypti
risk
Córdoba
mosquito
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Summary: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. Factors driving the distribution of Aedes aegypti (Diptera: Culicidae) larvae in Córdoba, Argentina were identified using species distribution models. Local socioeconomic and demographic studies, as well as city cleaning campaigns, are important to avoid the availability of man‐made containers in public places. Intrinsic knowledge of the study area is key to producing empirical models of mosquito vectors.
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ISSN:0269-283X
1365-2915
DOI:10.1111/mve.12323