Use of Soil Moisture Active Passive satellite data (SMAP) and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Rodgers, Moara

Use of Soil Moisture Active Passive satellite data (SMAP) and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Moara Martins Rodgers¹, John Malone², Jeffrey C Luvall³, Prixia del Mar Nieto² and Jennifer C McCarroll⁴, (1)Organization Not Listed, Washington, United States, (2)Louisiana State University, Baton Rouge, United States, (3)NASA/NSSTC, Huntsville, AL, United States, (4)Louisiana State University, Baton Rouge, LA, United States