Open AccessUse 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
Author(s) -
Moara de Santana Martins Rodgers,
Elivelton da Silva Fonseca,
Prixia Nieto,
John B. Malone,
Jeff Luvall,
Jennifer C McCarroll,
Ryan Avery,
Maria Emília Bavia,
Raúl Borges Guimarães,
Xue Wen,
Marta Mariascimento Silva,
Déborah Daniela Madureira Trabuco Carneiro,
Luciana Lobato Cardim
Publication year - 2022
Publication title -
geospatial health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 36
eISSN - 1970-7096
pISSN - 1827-1987
DOI - 10.4081/gh.2022.1095
Subject(s) - environmental science , visceral leishmaniasis , spatial distribution , precipitation , water content , environmental niche modelling , moisture , ecological niche , remote sensing , leishmaniasis , ecology , geography , meteorology , biology , habitat , geology , immunology , geotechnical engineering