GEOPROCESSING AND ANALYSIS OF DENGUE CASES IN RESIDENTS OF SAMAMBAIA ADMINISTRATIVE REGION, FEDERAL DISTRICT, BRAZIL.

Abstract

Objective: analyze the geographic distribution of confirmed dengue cases in an administrative region of the Federal District in the year 2020. Methods: this is a cross-sectional descriptive epidemiological study, followed by a spatial analysis of the cases confirmed in the administrative region and reported in Sinan. The cases were organized in a database using Excel software, where the sociodemographic variables, final classification of the cases, confirmation criteria, and evolution of the cases were included. The complete address of the patients was also organized in a spreadsheet. Geoprocessing of the cases was performed using QGIS® 3.0 software. Results: it was revealed that of the total number of cases reported in the RA, 65.93% were classified as dengue, while 28.61% were discarded and 5.46% were inconclusive. It was observed that females were the most affected (53.33%), the age group with the highest number of cases was 20 to 29 years (21.43%), and browns were those who presented the most probable cases of dengue and, regarding the notification, the non-filling in or inadequate filling in of the fields was a recurring problem identified. The geoprocessing of the notifications showed that the distribution of cases reached the whole territory, but with a higher concentration in the northern area of the RA. Conclusion: knowing the spatial distribution of the grievance can direct the actions to control the disease by identifying the most susceptible areas and those in need of intervention. The large number of incorrectly or incompletely filled out notification forms was reported