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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.
Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis.
Nieto P, Malone JB, Bavia ME.
Nieto P, et al.
Geospat Health. 2006 Nov;1(1):115-26. doi: 10.4081/gh.2006.286.
Geospat Health. 2006.
PMID: 18686237
Item in Clipboard
Biology-based mapping of vector-borne parasites by geographic information systems and remote sensing.
Malone JB, Nieto P, Tadesse A.
Malone JB, et al.
Parassitologia. 2006 Jun;48(1-2):77-9.
Parassitologia. 2006.
PMID: 16881402
Review.
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Comparison of two immunochromatographic assays and the indirect immunofluorescence antibody test for diagnosis of Trypanosoma cruzi infection in dogs in south central Louisiana.
Nieto PD, Boughton R, Dorn PL, Steurer F, Raychaudhuri S, Esfandiari J, Gonçalves E, Diaz J, Malone JB.
Nieto PD, et al.
Vet Parasitol. 2009 Nov 12;165(3-4):241-7. doi: 10.1016/j.vetpar.2009.07.010. Epub 2009 Jul 15.
Vet Parasitol. 2009.
PMID: 19647943
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Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia.
Chammartin F, Scholte RG, Malone JB, Bavia ME, Nieto P, Utzinger J, Vounatsou P.
Chammartin F, et al.
Parasit Vectors. 2013 May 25;6:152. doi: 10.1186/1756-3305-6-152.
Parasit Vectors. 2013.
PMID: 23705798
Free PMC article.
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Geographical Information Systems risk assessment models for zoonotic fascioliasis in the South American Andes region.
Fuentes MV, Sainz-Elipe S, Nieto P, Malone JB, Mas-Coma S.
Fuentes MV, et al.
Parassitologia. 2005 Mar;47(1):151-6.
Parassitologia. 2005.
PMID: 16044684
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