SciELO - Scientific Electronic Library Online

 
vol.42 issue4Spatial analysis of urban violence based on emergency room dataCharacterization of the crack cocaine culture in the city of São Paulo: a controlled pattern of use author indexsubject indexarticles search
Home Page  

Revista de Saúde Pública

Print version ISSN 0034-8910

Abstract

GALLI, Bruno  and  CHIARAVALLOTI NETO, Francisco. Temporal-spatial risk model to identify areas at high-risk for occurrence of dengue fever. Rev. Saúde Pública [online]. 2008, vol.42, n.4, pp. 656-663.  Epub May 09, 2008. ISSN 0034-8910.  http://dx.doi.org/10.1590/S0034-89102008005000032.

OBJECTIVE: To apply the temporal-spatial model to assess high-risk areas for the occurrence of dengue fever. METHODS: A total of 11,989 confirmed, autochthonous dengue fever cases, geocoded by address in the city of São José do Rio Preto (Southeastern Brazil), between September of 2001 and August of 2006, were included in the study. Frequency, duration and intensity indices were used to assess the severity and magnitude of transmission. The local indicator of spatial association was adopted to identify significant spatial clusters (p-value<0.05). The values of the three indices were considered high in a spatial unit when their standard values were positive and the respective local indicator of spatial association values were significant. RESULTS: Of all the geocoded dengue fever cases, 38.1% occurred in the urban spatial units, classified as highest-risk: 19.4% in 2001-2002, 13.9% in 2002-2003, 2.8% in 2003-2004, 16.7% in 2004-2005, and 21.3% in 2005-2006. The utilization of three risk measures enabled to identify higher-risk areas for the occurrence of dengue fever, concentrated in the city's northern region. Even though case notification data are subject to bias, this information is available in the health services and can lead to important conclusions, recommendations and hypotheses. CONCLUSIONS: The non-complex, notification-based procedures adopted in the study could be routinely used by services that are responsible for dengue fever surveillance and control to identify high-risk areas.

Keywords : Dengue [epidemiology]; Risk Factors; Geographic Information Systems [utilization]; Epidemiologic Models.

        · abstract in Portuguese     · text in English | Portuguese     · pdf in English | Portuguese