[Temporal-spatial risk model to identify areas at high-risk for occurrence of dengue fever].

Abstract:

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.

journal_name

Rev Saude Publica

journal_title

Revista de saude publica

authors

Galli B,Chiaravalloti Neto F

doi

10.1590/s0034-89102008005000032

subject

Has Abstract

pub_date

2008-08-01 00:00:00

pages

656-63

issue

4

eissn

0034-8910

issn

1518-8787

pii

S0034-89102008005000032

journal_volume

42

pub_type

杂志文章
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