Space-temporal variation and correlation between dengue and COVID-19 in a brazilian amazon state

Abstract

COVID-19 is considered a serious global public health problem. Over the years, Acre has faced epidemics caused by arboviruses, including dengue. This study evaluates the spatiotemporal correlation between dengue and COVID-19 incidence in Acre, taking into account socioeconomic indicators. It was an ecological, quantitative, and retrospective study. The local Moran index was used for spatial autocorrelation and simple linear regression for the analysis of socioeconomic indicators. The results showed varied spatial autocorrelation for dengue and COVID-19 in different years. The regression in 2021 revealed that 82.9% of COVID-19 notifications were related to dengue. Population density and population size were identified as the main factors for the increase in cases. This analysis suggests that both diseases are affected by the same indicators.