Palasio, Raquel Gardini Sanches 
; Bortoleto, Aline Nazaré; Tuan, Roseli; Chiaravalloti-Neto, Francisco
Source: Revista da Sociedade Brasileira de Medicina Tropical. Unidade: FSP
Subjects: ESQUISTOSSOMOSE, BIOMPHALARIA, ESTATÍSTICA, EPIDEMIOLOGIA, DISTRIBUIÇÃO ESPACIAL
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PALASIO, Raquel Gardini Sanches et al. Geographic Information System-based association between the sewage network, geographical location of intermediate hosts, and autochthonous cases for the estimation of risk areas of schistosomiasis infection in Ourinhos, São Paulo, Brazil. Revista da Sociedade Brasileira de Medicina Tropical, v. 54, 2021Tradução . . Disponível em: https://doi.org/10.1590/0037-8682-0851-2020. Acesso em: 10 nov. 2025.APA
Palasio, R. G. S., Bortoleto, A. N., Tuan, R., & Chiaravalloti-Neto, F. (2021). Geographic Information System-based association between the sewage network, geographical location of intermediate hosts, and autochthonous cases for the estimation of risk areas of schistosomiasis infection in Ourinhos, São Paulo, Brazil. Revista da Sociedade Brasileira de Medicina Tropical, 54. doi:10.1590/0037-8682-0851-2020NLM
Palasio RGS, Bortoleto AN, Tuan R, Chiaravalloti-Neto F. Geographic Information System-based association between the sewage network, geographical location of intermediate hosts, and autochthonous cases for the estimation of risk areas of schistosomiasis infection in Ourinhos, São Paulo, Brazil [Internet]. Revista da Sociedade Brasileira de Medicina Tropical. 2021 ;54[citado 2025 nov. 10 ] Available from: https://doi.org/10.1590/0037-8682-0851-2020Vancouver
Palasio RGS, Bortoleto AN, Tuan R, Chiaravalloti-Neto F. Geographic Information System-based association between the sewage network, geographical location of intermediate hosts, and autochthonous cases for the estimation of risk areas of schistosomiasis infection in Ourinhos, São Paulo, Brazil [Internet]. Revista da Sociedade Brasileira de Medicina Tropical. 2021 ;54[citado 2025 nov. 10 ] Available from: https://doi.org/10.1590/0037-8682-0851-2020
