Análise espaço-temporal dos casos de dengue na área urbana de Teresina-Piauí

Abstract

Because Dengue is a unique, dynamic and systemic disease that affects more than 100 million people worldwide annually, it becomes an important public health concern. The present research aimed to analyze the spatial behavior of dengue in the City of Teresina - Piauí and to evaluate the conditioning factors of its spatial distribution through the exploration of spatial autocorrelation for the period from 2013 to 2018. Data from the Information System were used of Notifiable Diseases; these were georeferenced and allowed the generation of the Incidence Index of cases per inhabitant. For spatial autocorrelation, the Local Moran Index was used as a statistical tool. The temporal analysis considered values classified by year and by quarterly periods within each year. An alternating pattern of spatial associations was identified, varying their distribution and behavior every 2 years. The North, Center and East zones had the largest positive groupings and the South zone the largest negative groupings. The research allowed the identification of areas that deserve priority attention, in addition to verifying temporal variations and spatial patterns. In addition, it was possible to show that the exploratory analysis of visualization and spatiotemporal autocorrelation analysis can help to understand the behavioral dynamics of the disease over time.