ALBOMAURICE: A predictive model for mapping Aedes albopictus mosquito populations in Mauritius
2021
Iyaloo, Diana, P | Degenne, Pascal | Elahee, Khouaildi, Bin | Lo Seen, Danny | Bheecarry, Ambicadutt | Tran, Annelise | Ministry of Health and Wellness | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Département Environnements et Sociétés (Cirad-ES) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | European Regional Development Fund (ERDF) through the INTERREG FEDER TROI project (2018-2021) | International Atomic Energy Agency - INT5155 | Mauritius Ministry of Health and Wellness, under the platform in partnership One Health Indian Ocean | ANISETTE - French Space Agency, Centre National d'Etudes Spatiales (CNES) - DAR 4800001029
International audience
Afficher plus [+] Moins [-]anglais. The ALBOMAURICE software runs a mosquito population dynamics model to predict the temporal and spatial abundance of Aedes albopictus, the dengue disease vector in Mauritius. For each vector surveillance zone, it solves a system of ordinary differential equations describing different stages of the mosquito life cycle. ALBOMAURICE uses daily rainfall and temperature input data to produce abundance maps used operationally by health services for targeting areas where to apply vector surveillance and control measures. Model simulations were validated against entomological data acquired weekly during a year at nine locations. Different control options can also be simulated and their effects compared.
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