RODGERS, M. de S. M.; FONSECA, E.; NIETO, P. del M.; MALONE, J. B.; LUVALL, J. C.; MCCARROLL, J. C.; AVERY, R. H.; BAVIA, M. E.; GUIMARAES, R.; WEN, X. .; SILVA, M. M. N.; CARNEIRO, D. D.; CARDIM, L. L. Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector <em>Lutzomyia longipalpis</em> in Sao Paulo and Bahia states, Brazil. Geospatial Health, [S. l.], v. 17, n. 1, 2022. DOI: 10.4081/gh.2022.1095. Disponível em: https://www.geospatialhealth.net/gh/article/view/1095. Acesso em: 17 jun. 2024.