Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data
Abstract: Species distribution models that only require presence data provide potentially inaccurate results due to sampling bias and presence data scarcity. Methods have been proposed in the literature to minimize the effects of sampling bias, but without explicitly considering the issue of sample size.
Resurgence risk for malaria, and the characterization of a recent outbreak in an Amazonian border area between French Guiana and Brazil
Unravelling the relationships between Anopheles darlingi (Diptera: Culicidae) densities, environmental factors and malaria incidence: understanding the variable patterns of malarial transmission in French Guiana (South America)
Girod, R., Roux, E., Berger, F., Stefani, A., Gaborit, P., Carinci, R., Issaly, J., Carme, B., Dusfour, I., 2011. Unravelling the relationships between Anopheles darlingi (Diptera: Culicidae) densities, environmental factors and malaria incidence: understanding the variable patterns of malarial transmission in French Guiana (South America). Annals of Tropical Medicine and Parasitology, 105, 107–122.
Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER)
[Artigo científico]
[vetores]
Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data
Stefani, A., Dusfour, I., Corrêa, A.P.S., Cruz, M.C., Dessay, N., Galardo, A.K., Galardo, C.D., Girod, R., Gomes, M.S., Gurgel, H., Lima, A.C.F., Moreno, E.S., Musset, L., Nacher, M., Soares, A.C., Carme, B., Roux, E., 2013a. Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data. Malaria Journal, 12 (1), 192
Un “site sentinelle” à la frontière franco-brésilienne pour comprendre et suivre les relations entre climat et santé
[Artigo científico]
[vetores] [água] [ar] [eventos extremos]
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