Chiaravalloti-Neto, Francisco 
; Dutra, Karina Rocha; Mota, Mânlio Tasso de Oliveira; Guimarães, Georgia Freitas; Terzian, Ana ; Blangiardo, Marta; Nogueira, Maurício Lacerda; Silva, Rafael Alves da; Zini, Nathalia; Silva, Gislaine Celestino Dutra; Silva, Natal Santos da; Parra, Maisa Carla Pereira; Dibo, Margareth Regina; Estofolete, Cássia Fernanda; Fávaro, Eliane Aparecida
Source: BMC infectious diseases. Unidades: FSP, FMRP
Subjects: DENGUE, TESTES SOROLÓGICOS, ESTUDOS TRANSVERSAIS, ANÁLISE ESTATÍSTICA DE DADOS
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CHIARAVALLOTI-NETO, Francisco et al. Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil. BMC infectious diseases, v. 19, 2019Tradução . . Disponível em: https://doi.org/10.1186/s12879-019-4074-4. Acesso em: 27 nov. 2025.APA
Chiaravalloti-Neto, F., Dutra, K. R., Mota, M. T. de O., Guimarães, G. F., Terzian, A., Blangiardo, M., et al. (2019). Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil. BMC infectious diseases, 19. doi:10.1186/s12879-019-4074-4NLM
Chiaravalloti-Neto F, Dutra KR, Mota MT de O, Guimarães GF, Terzian A, Blangiardo M, Nogueira ML, Silva RA da, Zini N, Silva GCD, Silva NS da, Parra MCP, Dibo MR, Estofolete CF, Fávaro EA. Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil [Internet]. BMC infectious diseases. 2019 ;19[citado 2025 nov. 27 ] Available from: https://doi.org/10.1186/s12879-019-4074-4Vancouver
Chiaravalloti-Neto F, Dutra KR, Mota MT de O, Guimarães GF, Terzian A, Blangiardo M, Nogueira ML, Silva RA da, Zini N, Silva GCD, Silva NS da, Parra MCP, Dibo MR, Estofolete CF, Fávaro EA. Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil [Internet]. BMC infectious diseases. 2019 ;19[citado 2025 nov. 27 ] Available from: https://doi.org/10.1186/s12879-019-4074-4
