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Dissemination of geo-epidemiological knowledge, geoprocessing and spatial analysis for the improvement of public policies for surveillance and control of leishmaniasis in the Pontal do Paranapanema, São Paulo State, Brazil

Grant number: 14/12494-0
Support type:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): September 01, 2014
Effective date (End): August 27, 2015
Field of knowledge:Humanities - Geography - Human Geography
Principal researcher:Raul Borges Guimarães
Grantee:Elivelton da Silva Fonseca
Supervisor abroad: John B. Malone
Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
Research place: Louisiana State University (LSU), United States  
Associated to the scholarship:13/20781-7 - Mapping and analysis of territory of sugarcane agrohidrobusiness in the Pontal do Paranapanema region-São Paulo State-Brazil: labor relations, conflict and land and water use and environmental health, BP.PD


To disseminate geo-epidemiological knowledge, geoprocessing and tools of spatial analysis in public policies for the control and surveillance of leishmaniasis in the municipalities of Pontal do Paranapanema, considering the transformations caused by the expansion of sugarcane Agrohidronegócio (Hydroagricultural Business) in animal reservoirs and in the transmission cycle, developing an integrated view of the socio-environmental conditions of the spread of leishmaniasis in São Paulo state. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FONSECA, ELIVELTON DA SILVA; GUIMARAES, RAUL BORGES; PRESTES-CARNEIRO, LUIZ EURIBEL; TOLEZANO, JOSE EDUARDO; RODGERS, MOARA DE SANTANA MARTINS; AVERY, RYAN HARRY; MALONE, JOHN B. Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in Sao Paulo state, Brazil, utilizing maximum entropy ecological niche modeling. PATHOGENS AND GLOBAL HEALTH, v. 115, n. 2 JAN 2021. Web of Science Citations: 0.

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