Artigo Acesso aberto Produção Nacional Revisado por pares

Detection and modelling of case clusters for urban leptospirosis

2008; Wiley; Volume: 13; Issue: 4 Linguagem: Inglês

10.1111/j.1365-3156.2008.02028.x

ISSN

1365-3156

Autores

Wagner de Souza Tassinari, Débora da Cruz Payão Pellegrini, Claudio B. P. Sá, Renato Barbosa Reis, Albert I. Ko, Marília Sá Carvalho,

Tópico(s)

Zoonotic diseases and public health

Resumo

To analyse the epidemiological profile of 488 cases of leptospirosis in Rio de Janeiro, Brazil between 1997 and 2002, using a variety of methods of spatial epidemiology, to establish alert guidelines in general hospitals, which might be a tool to improve diagnosis and treatment of leptospirosis to reduce lethality rates.Scan statistics identified six space-time clusters, which comprised a range of 2 to 28 cases per cluster. Generalized linear mixed models were used to evaluate risk factors for a cluster case which incorporated individual characteristics and spatial information on environmental and climactic factors in a single model frame.Cluster case events were associated with heavy rainfall (OR 3.71; 95% CI 1.83-7.51). The model did not identify socioeconomic or environmental covariates that significantly influence the risk of developing a cluster rather than non-cluster case.Clustering of leptospirosis in this urban setting appears to be due to transmission during heavy rainfall.

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