Análise temporal da precipitação pluvial relacionado com os casos de dengue, em Maceió, Alagoas

Abstract

Precipitation is one of the meteorological variables that contribute to the manifestations of several groups of vector-borne diseases such as dengue, yellow fever, malaria, among others. This research aims to evaluate the occurrence of dengue cases, related to rainfall for the years 2016, 2017, and 2018 in the neighborhoods Jacintinho, Pajuçara, Poço, and Benedito Bentes in Maceió, Alagoas. For this, we used epidemiological data of the disease from the Health Department of the Municipality of Maceió and rainfall data from INMET. For data analysis, descriptive statistics were used using the Libre Office software. There is a relationship between dengue cases and rainfall in the three years analyzed, with peaks in the rainy season. The progressive decrease in dengue cases from 2016 onwards proves the effectiveness of awareness programs and assistance to the population, mainly through means of preventing the fight against Aedes aegypti. Dengue symptoms are being more easily identified, with a decrease in cases with negative suspicions of the disease over the years analyzed (2016, 2017, and 2018). Neighborhoods with low infrastructure and high population rates such as Jacintinho and Benedito Bentes should signal a focus for combating the Ades Aegypti vector. And even in neighborhoods with better infrastructure such as Pajuçara and Poço, the incidence of precipitation can contribute to the proliferation of potential breeding sites for the dengue vector, although with a smaller number of cases, which requires monitoring. It is recommended to continue research on the arboviruses that cause cyclic diseases such as dengue, transmitted by Aedes aegypti, notably in the years of the Covid 19 Pandemic, so that there is no setback in policies to combat dengue already implemented, being necessary constant monitoring and/or alerting, so that new epidemics are avoided, combined with investment in infrastructure, especially basic sanitation, in the most socially vulnerable neighborhoods of Maceió.