GEOSPACE MODELING APPLIED TO THE MULTITEMPORAL ANALYSIS OF THE OCCURRENCE OF SCHISTOSOMIASIS IN THE STATE OF SERGIPE 2010-2014

Abstract

Schistosomiasis is an ancient disease and to date constitutes a worldwide public health problem. In Brazil, about 25 million people live in areas at risk of contracting the endemic (Brasil, 2014). The state of Sergipe in northeastern Brazil, has the highest prevalence of Chagas disease in the Federation (Brasil, 2013). Given this, the study aimed to identify vulnerable areas and different schistosomiasis occurrence of situations in the state of Sergipe. Initially, from the database of the Schistosomiasis Control Program (PCE), from 2010 to 2014, the prevalence spatialized. Then, based on the average municipal prevalence in this period, we applied the model geoestatíscos by interpolation, Inverse Distance Weighted – IDW, to identify the areas of greatest vulnerability to occurrence of the disease in the state. In the temporal analysis, from 2010 to 2014, it was hardly evident change in the epidemiological profile of the state. The study identified that municipalities are most vulnerable in six of the eight state territory, which highlights the high incidence of the disease. Concluding that the Sergipe population is extremely vulnerable to the occurrence of schistosomiasis and requires the attention of the government to reverse this situation.