Análise da distribuição espacial de casos da dengue no município do Rio de Janeiro, 2011 e 2012

• Autor(a) principal: Carvalho, Silvia
• Data de Publicação: 2017
• Outros Autores: Magalhães, Mônica de Avelar Figueiredo Mafra, Medronho, Roberto de Andrade
• Tipo de documento: Artigo
• Idioma: eng; por
• Título da fonte: Revista de Saúde Pública
• Texto Completo: https://www.revistas.usp.br/rsp/article/view/138329
• topic: Dengue; epidemiology; Spatial Analysis; Geographic Information Systems; Health Information Systems; Dengue; epidemiologia; Análise Espacial; Sistemas de Informação Geográfica; Sistemas de Informação em Saúde

OBJECTIVE Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.