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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.
Geospat Health. 2022 Jun 8;17(1). doi: 10.4081/gh.2022.1095.
Geospat Health. 2022.
PMID: 35686991
Free article.
Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in São Paulo state, Brazil, utilizing maximum entropy ecological niche modeling.
Fonseca EDS, Guimarães RB, Prestes-Carneiro LE, Tolezano JE, Rodgers MSM, Avery RH, Malone JB.
Fonseca EDS, et al. Among authors: rodgers msm.
Pathog Glob Health. 2021 Mar;115(2):108-120. doi: 10.1080/20477724.2020.1870031. Epub 2021 Jan 11.
Pathog Glob Health. 2021.
PMID: 33427124
Free PMC article.
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