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Spatial analysis of dengue incidence rates distribution and the relationship with possible sources of risk in the municipality of Campinas, São Paulo, Brazil

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Author(s):
Jéssica Andretta Mendes
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Geociências
Defense date:
Examining board members:
Marcos César Ferreira; Ligia Vizeu Barrozo; Aline Pascoalino; Sandra Maria Fonseca da Costa; Daniel Hideki Bando
Advisor: Marcos César Ferreira
Abstract

The main preventive measure against dengue epidemics is to control the emergence and development of the Aedes aegypti mosquitoes. The monitoring of places known as "Strategic Points" (Pontos Estratégicos) and "Special Buildings" (Imóveis Especiais) has been a constant item in the set of measures adopted to control disease vector. These buildings have characteristics that favor the breeding sites emergence to Aedes aegypti mosquitoes or have characteristics that favor the dissemination of dengue virus. The main purpose of this research is to evaluate the influence of these properties on the dengue incidence rates in their surroundings. The study area is the municipality of Campinas, in the State of São Paulo, using epidemiological data provided from 2013 to 2016, period considered for this research. The incidence rates were calculated for the census tracts and for the grid cells which contains census data from 2010, afforded by Brazilian Institute of Geography and Statistics (IBGE). The spatial structure of the epidemiological data was analyzed using Moran spatial autocorrelation index, and the areas with higher cases densities clusters were identified using the kernel smoothing technique. The spatial statistics Scan was used to assess risk areas for dengue, where there are high incidence rates. Ranges of distance from these buildings were plotted until 1,000m radius and the mean incidence was calculated for each range of distance (100 m interval). The same procedure was applied to points randomly distributed in the municipality, not spatially coincident with the already existed. The mean incidence by range of distance was represented by charts and, the significance of the values observed in the charts was tested using linear regression and Boltzmann regression techniques. The results showed clustered pattern, indicating spatial dependence of data. The location of clusters with high incidence rates has changed over time. Clusters observed in the north, northwest and southwest regions of the municipality persisted over the study period. Other clusters located in the south, and east regions were intermittent. Results show the closer to these buildings, the higher values of mean incidence rates. This pattern was not observed for the points randomly distributed (AU)

FAPESP's process: 17/19446-0 - Influence of proximity to potential risk properties on the incidence of Dengue, in the city of Campinas, São Paulo, Brazil
Grantee:Jessica Andretta Mendes
Support Opportunities: Scholarships in Brazil - Doctorate