title: [Satellite data and disease transmission by vectors: the creation of maps for risk prediction].
abstract: The complex set of criteria determining the reproduction rate of infection (distribution, density, dynamics of arthropod populations, temperature, humidity...) can be estimated with far greater precision by satellite than by conventional meteorological stations. By linking a) distribution modes and type of environment and b) satellite data and rates of underlying biological processes, we have been able to elaborate two super-imposed models: one for vector populations and one for pathogenic agents. We have used such models to look at, for example, trypanosomiasis, malaria and Lyme disease.
authors.affiliation: University of Oxford, Department of Zoology, Royaume Uni.
authors.forename: S E
authors.initials: SE
authors.lastname: Randolph
authors.forename: D J
authors.initials: DJ
authors.lastname: Rogers
mesh_terms: D000818:Animals; D004199:Disease Vectors; D007239:Infections / Q000635:transmission*; D008685:Meteorological Concepts; D012307:Risk Factors; D012680:Sensitivity and Specificity; D018531:Spacecraft