The higher risk areas were those that were close to the main highways. The HI was positively correlated to the Bayesian dengue incidence rate ( r = 0.641 p = 0.01).
The dengue transmission pattern in Itaboraí showed that the increase in the vector density preceded the increase in incidence. The areas that were at a higher risk of dengue occurrence were detected using a kernel density estimation with the kernel quartic function. The associations among the House Infestation Index (HI), the Bayesian rate of the average dengue incidence, and the sociodemographic indicators were evaluated using a Pearson’s correlation coefficient. The average dengue incidence rates calculated in this epidemic range were smoothed using the Bayesian method. For the house analysis, we used the period of higher vector density that occurred previous to the larger magnitude epidemic range of dengue cases. In this ecological study, the Local Surveillance Units (UVLs) of the municipality were used as spatial pattern units. We considered the association among the house infestation index, the disease incidence, and sociodemographic indicators during a prominent dengue outbreak in 20. We identified dengue transmission areas by using the Geographic Information Systems located at local surveillance units of the Itaboraí municipality in state of Rio de Janeiro.
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