ALBOMAURICE: A predictive model for mapping Aedes albopictus mosquito populations in Mauritius
Diana P. Iyaloo,
Pascal Degenne,
Khouaildi Bin Elahee,
Danny Lo Seen,
Ambicadutt Bheecarry,
Annelise Tran
Affiliations
Diana P. Iyaloo
Vector Biology and Control Division, Ministry of Health and Wellness, Curepipe, Mauritius
Pascal Degenne
CIRAD, UMR TETIS, Sainte-Clotilde, Reunion, France; UMR TETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Sainte-Clotilde, Reunion, France
Khouaildi Bin Elahee
Vector Biology and Control Division, Ministry of Health and Wellness, Curepipe, Mauritius
Danny Lo Seen
CIRAD, UMR TETIS, Sainte-Clotilde, Reunion, France; UMR TETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Sainte-Clotilde, Reunion, France
Ambicadutt Bheecarry
Vector Biology and Control Division, Ministry of Health and Wellness, Curepipe, Mauritius
Annelise Tran
CIRAD, UMR TETIS, Sainte-Clotilde, Reunion, France; UMR TETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Sainte-Clotilde, Reunion, France; Correspondence to: CIRAD, plateforme CYROI, 2 rue Maxime Riviere, 97490 Sainte-Clotilde, Reunion Island, France.
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.