@InProceedings{MarteliGuOlOzPuDi:2023:AnSéTe,
               author = "Marteli, Alice Nardoni and Guasselli, Laurindo Antonio and 
                         Oliveira, Guilherme Garcia de and Oz{\'o}rio, Wink Gabriele and 
                         Pulgati, Fernando Hepp and Diament, D{\'e}cio",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto 
                         de Infectologia Emilio Ribas (IIER)}",
                title = "An{\'a}lise de s{\'e}ries temporais da leptospirose em bacias 
                         hidrogr{\'a}ficas",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156455",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Doen{\c{c}}as de veicula{\c{c}}{\~a}o h{\'{\i}}drica, TRMM, 
                         SINAN, DATASUS, Modelos Lineares Din{\^a}micos, Waterborne 
                         diseases, TRMM, SINAN, DATASUS, Dynamic Linear Models.",
             abstract = "A leptospirose {\'e} uma doen{\c{c}}a tropical negligenciada, 
                         causada pelo contato da urina de roedores e que acomete 
                         popula{\c{c}}{\~o}es mais vulner{\'a}veis. Este artigo 
                         prop{\^o}s analisar poss{\'{\i}}veis tend{\^e}ncias entre a 
                         s{\'e}rie hist{\'o}rica de casos confirmados de leptospirose e a 
                         precipita{\c{c}}{\~a}o em bacias hidrogr{\'a}ficas brasileiras. 
                         Para isso foram utilizados dados mensais de 
                         precipita{\c{c}}{\~a}o e de leptospirose, agregados por 
                         trimestre em 22 bacias hidrogr{\'a}ficas brasileiras. A escolha 
                         das bacias teve como crit{\'e}rio munic{\'{\i}}pios com casos 
                         de leptospirose (entre 2007 e 2017) e que tiveram pelo menos uma 
                         ocorr{\^e}ncia de inunda{\c{c}}{\~a}o (entre 2013 e 2017). Os 
                         resultados identificaram tend{\^e}ncias nas bacias de Manaus 
                         (AM), Rio Branco (AC) e Santar{\'e}m (PA), e indica que apenas 
                         parte da variabilidade observada na leptospirose foi explicada 
                         pela varia{\c{c}}{\~a}o da precipita{\c{c}}{\~a}o. ABSTRACT: 
                         Leptospirosis is a neglected tropical disease, caused by contact 
                         with rodent urine and which affects more vulnerable populations. 
                         This article proposed to analyze possible trends between the 
                         historical series of confirmed cases of leptospirosis and 
                         precipitation in Brazilian watersheds. For this, monthly rainfall 
                         and leptospirosis data were used, aggregated by quarter in 22 
                         Brazilian watershed. The choice of watershed was based on 
                         municipalities with cases of leptospirosis (between 2007 and 2017) 
                         and which had at least one occurrence of flooding (between 2013 
                         and 2017). The results identified trends in the Manaus (AM), Rio 
                         Branco (AC) and Santar{\'e}m (PA) watershed and indicate that 
                         only part of the variability observed in leptospirosis was 
                         explained by rainfall variation.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/48U27RJ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48U27RJ",
           targetfile = "156455.pdf",
                 type = "Sa{\'u}de",
        urlaccessdate = "05 maio 2024"
}