Efecto de las condiciones de infraestructura de salud y económicas de los cantones sobre el nivel de contagios por covid-19 en el Ecuador.

Abstract

Undoubtedly, COVID-19 has become a public health, economic and social problem that challenges governments worldwide by revealing conditions such as inequity in access to basic services and social protection. Therefore, the objective of this study is to analyze the impact of multiple demographic, social, health and economic factors on the magnitude and intensity of COVID-19 infection in Ecuadorian cantons. To this end, a multiple linear regression model is developed that attempts to fit linear models between a dependent variable and more than one independent variable. The results suggest that a higher cantonal GVA, days to first infection in the canton, and level of care 3 have decreased COVID-19 infection. Social and health conditions such as the elderly population, active population and level of care 1 favor COVID-19 infection.