ALBOMAURICE: A predictive model for mapping Aedes albopictus mosquito populations in Mauritius
Autor: | Iyaloo, Diana P., Degenne, Pascal, Elahee, Khouaildi Bin, Lo Seen, Danny, Bheecarry, Ambicadutt, Tran, Annelise |
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Přispěvatelé: | 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 |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Population dynamics
Distribution géographique [SDV]Life Sciences [q-bio] Distribution des populations 2 rue Maxime Riviere QA76.75-76.765 Mosquito Risk mapping Dynamique des populations Surveillance épidémiologique Computer software analyse spatiale Cartographie L60 - Taxonomie et géographie animales Modèle de simulation technique de prévision Aedes albopictus Modélisation Population dynamics Mosquito Aedes albopictus Risk mapping Ocelet language CIRAD S50 - Santé humaine Ocelet language [SDE]Environmental Sciences U30 - Méthodes de recherche plateforme CYROI |
Zdroj: | SoftwareX SoftwareX, Elsevier, 2021, 13, pp.100638. ⟨10.1016/j.softx.2020.100638⟩ SoftwareX, Vol 13, Iss, Pp 100638-(2021) |
ISSN: | 2352-7110 |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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