Covid-19: retrato da pandemia

Abstract

The Covid-19 pandemic has added up to more than 445,580,034 infected with the disease worldwide, causing 5,997,734 deaths. In Brazil, the first case of the disease occurred in February 2020 and quickly spread throughout the country. All cases of SG and SARS are suspected Covid-19, and must be reported in specific systems, e-SUS Notifica and Sivep-Gripe. In the first year of the pandemic, people with diabetes, obesity, hypertension, heart and respiratory diseases, and aged 80 years or more were those with the highest risk of worsening health when the disease was acquired. OBJECTIVES: To characterize as well as to analyze Covid-19 cases according to origin and race, identifying clusters of cases and their predictors. METHODS: Observational, sectional study with quantitative approach in which SIVEP-Flu and e-SUS Notifica data provided by the Epidemiological Surveillance Center (CVE) "Prof. Alexandre Vranjac", State of São Paulo, in the period from March 12, 2020 to August 18, 202, of those infected by Covid-19 belonging to the DRS VX- São José do Rio Preto were used. Descriptive statistics were performed; for quantitative data (age) the Mann Whitney test was used; for nominal variables a univariate analysis was performed with Pearson's test with 5% significance level (p≤0.05). With the variable race/color, a stepwise binary logistic regression was performed to calculate the odds ratio (OR). The tests were performed in the IBM SPSS program version 20.0 and presented in contingency Tables and Graphs. RESULTS: The total number of people infected by Covid-19 was 186, 203 cases; 88.2% of the notifications made in the e-SUS Notifica system; 53.2% were female; 89.5% of these belonged to the GVE XXIX; the non-white color represented only 14.0% of those infected; the average age was 40.93 years, the most common symptoms were cough (55.0%), headache (38.9%) and fever (37.7) and the morbidities: heart disease (11.1%), diabetes (6.0%) and obesity (2.4%). The cases have evolved as cure (86.9%), death (3.5%) and home treatment (3.4%). Representing a lethality rate of 3.4%. CONCLUSION: The coping with Covid-19 should have been better conducted if political interests were not prevailing; data presented from the characteristics of the affected population can subsidize health policy actions, in the gaps that the initial activities have highlighted as well as in the investments for the main risk groups.