Modeling Spatiotemporal Aedes Aegypti Risk in French Guiana Using Meteorological and Remote Sensing Data
medRxiv preprint doi: https://doi.org/10.1101/2021.08.02.21261373; this version posted August 9, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license . Modeling spatiotemporal Aedes aegypti risk in French Guiana using meteorological and remote sensing data Sarah Bailly1,*, Vanessa Machault2, †,, Samuel Beneteau1, Philippe Palany3, Romain Girod4,5, Jean-Pierre Lacaux2, Philippe Quenel6, Claude Flamand1,7 1 Epidemiology unit, Institut Pasteur In French Guiana, French Guiana; 2 Aerology laboratory, Observatoire Midi-Pyrénées (OMP), Université Paul Sabatier Toulouse, France ; 3 Météo-France Antilles-Guyane, Martinique; 4 Medical entomology unit, Institut Pasteur in French Guiana, French Guiana 5 Current affiliation: Medical entomology unit, Institut Pasteur in Madagascar, Madagascar 6 Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)— UMR_S 1085, F-35000 Rennes, France 7 Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France. †Current affiliation : University of Bordeaux, Bordeaux, France Abstract Although the development of vaccines for the prevention of arboviral diseases has been a priority in recent years, prevention strategies continue to depend on vector control. Risk maps at scales appropriate for these strategies can provide valuable information to assess entomological risk levels and guide actions. We used a spatio-temporal modeling approach to predict, at the local scale, the risk of homes potentially harboring Aedes aegypti larvae. The model used integrated larvae risk data collected in the field from September 2011 to February 2013, environmental data obtained from very high spatial resolution Pleiades imagery, and daily meteorological data, collected in the city of Matoury in French Guiana.
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