Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands

Abstract

INTRODUCTION: A problem plaguing humanity is the countless deaths from COVID-19. Conducting a statistical study based on deaths data during the pandemic will allow us to identify the age groups most vulnerable to death. This information can be used by public and private health organizations to take preventive measures in the most vulnerable population. OBJECTIVES: To determine the age groups most vulnerable to COVID 19 in the Ecuadorian highlands during the periods 2020-2021. METHODS: The "Bootstrap method to calculate the confidence interval for proportions" was applied to the age groups of those who died from COVID in the Ecuadorian highlands in 2020 and 2021. The method is implemented in R Studio. RESULTS: The adjusted confidence intervals suggest that there is a 95% confidence that the age group most prone to death from COVID-19 is the Elderly with a point estimate of 72.70% in 2020 and 76.61% in 2021. The main subgroup of 80 to 90 years followed by 65 to 70 years. CONCLUSION: Adjusted confidence intervals indicate that there is a 95% confidence that the age subgroup most prone to death from COVID-19 is 80 to 90 years with a point estimate of 16.13% in 2020 and 16.85% in 2021. And 65 to 70 years with a point estimate of 12.98% in 2020 and 12.57% in 2021.