ABSTRACT
OBJECTIVE: To evaluate the social isolation index and the speed of new cases of Covid-19 in Brazil. METHODS: Quantitative ecological, documentary, descriptive study using secondary data, comparing the period from March 14 to May 1, 2020, carried out with the 27 Brazilian federative units, characterizing the study population. The data were analyzed through descriptive statistics using the Statistical Package for the Social Sciences-SPSS® software, evaluating the correlation between the social isolation index and the number of new cases of Covid-19, using Pearson's correlation coefficient. RESULTS: The increase in Covid-19 cases is exponential. There was a significant, negative correlation regarding the social isolation index and the speed of the number of new cases by Pearson's coefficient, which means that as the first one increases, the second one decreases. CONCLUSION: Social isolation measures have significant effects on the rate of coronavirus infection in the population.
Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Physical Distancing , Brazil/epidemiology , COVID-19/transmission , Humans , Incidence , Linear Models , Population Surveillance/methods , SARS-CoV-2 , Time FactorsABSTRACT
ABSTRACT Objective: To evaluate the social isolation index and the speed of new cases of Covid-19 in Brazil. Methods: Quantitative ecological, documentary, descriptive study using secondary data, comparing the period from March 14 to May 1, 2020, carried out with the 27 Brazilian federative units, characterizing the study population. The data were analyzed through descriptive statistics using the Statistical Package for the Social Sciences-SPSS® software, evaluating the correlation between the social isolation index and the number of new cases of Covid-19, using Pearson's correlation coefficient. Results: The increase in Covid-19 cases is exponential. There was a significant, negative correlation regarding the social isolation index and the speed of the number of new cases by Pearson's coefficient, which means that as the first one increases, the second one decreases. Conclusion: Social isolation measures have significant effects on the rate of coronavirus infection in the population.
RESUMEN Objetivo: Evaluar el índice de aislamiento social y la velocidad de los nuevos casos de Covid-19 en Brasil. Metodologia: Estudio ecológico cuantitativo, documental, descriptivo, utilizando datos secundarios, comparando el período del 14 de marzo al 1 de mayo de 2020, realizado con las 27 unidades federativas brasileñas, caracterizando l apoblación de estudio. Los datos se analizaron mediante análisis estadístico descriptivo, utilizando el paquete estadístico para el software Social Sciences® evaluando la correlación entre el índice de aislamiento social y el número de casos nuevos de Covid-19, utilizando el coeficiente de correlación de Pearson. Resultados: El aumento em los casos de Covid-19 es exponencial. Hubo una correlación negativa significativa con respecto al índice de aislamiento social y la velocidad del número de casos nuevos según el coeficiente de Pearson, lo que significa que a medida que el primero aumenta, el segundo disminuye. Conclusión: Las medidas de aislamiento social tienen efectos significativos sobre la tasa de infección por coronavirus en la población.
RESUMO Objetivo: Avaliar o índice de isolamento social e a velocidade de casos novos de Covid-19 no Brasil. Métodos: Ecológico quantitativo, documental, descritivo, utilizando dados secundários, comparando-se o período de 14 de março a 1º de maio de 2020, nas 27 unidades federativas brasileiras, caracterizando a população do estudo. Realizou-se análise estatística descritiva, no software Statistical Package for the Social Sciences®,avaliando-se a correlação entre o índice de isolamento social e o número de novos casos de Covid-19, utilizando o Coeficiente de correlação de Pearson. Resultados: O aumento dos casos de Covid-19 se apresenta de forma exponencial. Houve correlação significativa, negativa quanto ao índice de isolamento social e a velocidade do número de casos novos pelo coeficiente de Pearson, o que significa que, à medida que o primeiro aumenta, o segundo decresce. Conclusão: Medidas de isolamento social têm efeitos significativos sobre a velocidade de infecção por coronavírus na população.