Impact of COVID-19 on mortality and excess mortality of midlife from 40 to 64 age groups

Abstract

The COVID-19 pandemic has significantly affected the middle-aged population in the US. Leveraging the CDC dataset, this study quantifies the number of fatalities across various midlife age brackets, specifically 40–44, 45–49, 50–54, 55–59, and 60–64 for both males and females, spanning the years 2015 to 2020. A novel Python Package Index (PyPI) application, midlife was developed to compute and visualize these findings. The PyPI midlife application was also validated via Code Ocean for reproducibility of the application. The analysis revealed that males aged 55–59 and females aged 50–54 experienced the highest excess mortality due to COVID-19, likely due to a previously declining death trend in these groups. This research not only provides a method to visualize and calculate the impact of COVID-19 on midlife mortality by age and sex, but also highlights the potential economic repercussions of rising midlife mortality rates.