Publications des scientifiques de l'IRD

Tran A., Mangeas Morgan, Demarchi M., Roux Emmanuel, Degenne P., Haramboure M., Le Goff Gilbert, Damiens David, Gouagna Louis-Clément, Herbreteau Vincent, Dehecq J. S. (2020). Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example : application to the development of an operational mapping tool of vector populations. PLoS One, 15 (1), p. art. e0227407 [21p.]. ISSN 1932-6203.

Titre du document
Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example : application to the development of an operational mapping tool of vector populations
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000534370500019
Auteurs
Tran A., Mangeas Morgan, Demarchi M., Roux Emmanuel, Degenne P., Haramboure M., Le Goff Gilbert, Damiens David, Gouagna Louis-Clément, Herbreteau Vincent, Dehecq J. S.
Source
PLoS One, 2020, 15 (1), p. art. e0227407 [21p.] ISSN 1932-6203
Mosquitoes are responsible for the transmission of major pathogens worldwide. Modelling their population dynamics and mapping their distribution can contribute effectively to disease surveillance and control systems. Two main approaches are classically used to understand and predict mosquito abundance in space and time, namely empirical (or statistical) and process-based models. In this work, we used both approaches to model the population dynamics in Reunion Island of the 'Tiger mosquito', Aedes albopictus, a vector of dengue and chikungunya viruses, using rainfall and temperature data. We aimed to i) evaluate and compare the two types of models, and ii) develop an operational tool that could be used by public health authorities and vector control services. Our results showed that Ae. albopictus dynamics in Reunion Island are driven by both rainfall and temperature with a non-linear relationship. The predictions of the two approaches were consistent with the observed abundances of Ae. albopictus aquatic stages. An operational tool with a user-friendly interface was developed, allowing the creation of maps of Ae. albopictus densities over the whole territory using meteorological data collected from a network of weather stations. It is now routinely used by the services in charge of vector control in Reunion Island.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Entomologie médicale / Parasitologie / Virologie [052] ; Télédétection [126]
Description Géographique
REUNION
Localisation
Fonds IRD [F B010078087]
Identifiant IRD
fdi:010078087
Contact