Abstract
This study was considerated questions from epidemiology, sanitarism, climate and mathematic models for results about epidemics cases of Dengue and Chikungunya at Quixadá City-Ce, Brazil, 2016-2019. The epidemiological data was provided by the Municipal Health Secretariat. Climate data was provided by FUNCEME, INMET and INPE. Information about sanitary condition was qualitatively infer with a series of interviews were conducted with residents of the municipality along with photographic records and compiled news in online newspapers/portals. The epidemiological, climatic and social information was used as a database and rules on engine of the fuzzy statistical model in application, which aims at theoretical validation, diagnosis and prediction of arbovirosis, considering this multiplicity of variables. The variables air temperature and relative air humidity remained within the comfort zone of Aedes aegypti. The city's sanitary condition's proved to be the main factor to notification of these diseases throughout the study period, resulting in a directly proportional mathematical relationship between confirmed cases of arbovirosis and garbage accumulation. The fuzzy system applied was assertive close to 90%, which indicates that it is consistent and skilled for the objectives pursued generating diagnoses and prognoses for future cases of these arbovirosis, creating efficient public policies that fully meet population.
Keywords:
climate; arbobirosis; garbage
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