Dengue, geoprocessamento e indicadores socioeconômicos e ambientais

Um estudo de revisão

Bibliographic Data

ID14967679
AuthorsRegina Fernandes Flauzino (0000-0001-7952-9238, Universidade Federal Fluminense), Reinaldo Souza-Santos (0000-0003-2387-6999, Centro de Estudos e Pesquisas em Educação, Cultura e Ação Comunitária), Rosely Magalhães De Oliveira (0000-0003-2338-1347, Centro de Estudos e Pesquisas em Educação, Cultura e Ação Comunitária), Rosely Magalhães Oliveira
Year2009
Volume25
Issue5
Pages456-461
Publication date2009-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Panamericana de Salud Pública (JOURNAL)
Journal identifiersISSN: 1020-4989 • E-ISSN: 1680-5348
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s1020-49892009000500012
PMID19695137
OpenAlexW2154936048
SCIELO_PIDS1020-49892009000500012
LanguagePT
Citations received13
References cited9

OBJECTIVE: To further understand the disease behavior of dengue by analyzing studies on dengue and geoprocessing, as well as socioeconomic and environmental indicators. METHOD: MEDLINE, SciELO, and Lilacs databases, as well as the CAPES dissertation databank, were searched using the following key words: dengue, geographic information system, spatial analysis, geoprocessing, remote sensing, and socioenvironmental indicators. A manual search of the bibliographies of select articles was also performed. All studies published in English, Portuguese, or Spanish, through December 2007, that focused on dengue, geoprocessing, and socioeconomic and environmental indicators were included. The relevant articles were grouped according to type (serologic surveys or secondary data analyses) and spatial analysis unit (municipality, health district, neighborhood, administrative region, census tracts, and city blocks). RESULTS: Twenty-two studies from Latin America (19 from Brazil) were evaluated. Six were serologic surveys and 16 employed secondary data. Geographic information systems were employed in one survey, and 11 used secondary data analyses. Spatial clustering was similar in both types of studies. Poverty was not a major risk factor for the disease. Spatial heterogeneity of living conditions and incidence was reported by 15 of 16 studies with secondary data. CONCLUSIONS: Since the complexity of dengue is closely tied to the ecological characteristics of the environment, studies based on spatial clusters plus local environmental determinants provide a more comprehensive view of the disease. These studies also allow for the identification of spatial heterogeneity, shown to be a key to understanding how dengue epidemics develop

Cartography · Dengue fever · Environmental health · Geographic information system · Geography · Geoprocessing · Population · Sanitation · Socioeconomic status · Socioeconomics · Indigenous Health and Education · Medicine · Mosquito-borne diseases and control · Zoonotic diseases and public health

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