D. D. M. T. Carneiro

Remote Sensing and Geographic Information Systems and risk of American visceral leishmaniasis in Bahia, Brazil.

M. Bavia, H. Gurgel, D. D. M. T. Carneiro, 2005, Parassitologia.

Use of soil moisture active passive satellite data 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.

J. Malone, P. Nieto, M. Bavia, 2022, Geospatial health.

Ecological niche models for sand fly species and predicted distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in Bahia state, Brazil

J. Malone, M. Bavia, D. D. M. T. Carneiro, 2019, Environmental Monitoring and Assessment.

Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil.

M. Bavia, Deborah D M T Carneiro, Maria E Bavia, 2007, Geospatial health.