Análise espacial da doença de Chagas no estado do Pará no período de 2010-2014

Chagas disease is a very large public health problem in the Brazilian Amazon region. Transmission of vector-borne diseases is often associated with changes in vegetation cover. Thus, the use of geoprocessing is extremely important because it contributes to the structuring and analysis of risk factors for the population. The objective of this study was to evaluate the spatial behavior of Chagas'' disease in the state of Pará in the period 2010-2014 using geoprocessing tools. Data from Chagas disease (CD) were obtained from SINAN-NET. Other sources of data collection were: IBGE, INPE and Google Earth Engine. The processing, analysis and interpretation of data were performed in TerraView and ArcGis software. In the spatial analysis were used the Global Moran Index, Local Moran Index (LISA), Kernel density estimation and Kernel ratio. The total of 9,737 cases of Chagas’ disease was obtained from 82 municipalities of Pará. The correlation test showed a positive correlation between the disease and the population and a negative correlation between the disease and EVI / NDVI. The LISA allowed the identification of clusters of areas, visualizing spatial dependence and analyzing spatial variability behavior. The Kernel presented in all the studied years a cluster of greater intensity in the municipality of Abaetetuba. The results of the correlation analysis showed that constant deforestation and population increase may be interfering with the increase in CD cases. The Kernel analysis indicated the locations for disease control and monitoring.