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. and Cardim, L.L. 2022. 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. 17, 1 (Jun. 2022). DOI:https://doi.org/10.4081/gh.2022.1095.