Data for "A Pandemic of Mental Health"

Published: 25 July 2022| Version 1 | DOI: 10.17632/vmwmn4252k.1


This paper introduces several datasets (.csv) providing raw data and statistical differences before and after the peak of the COVID-19 pandemic. The variables within the datasets include reported anxiety or depression symptoms, economic indicators, all-cause mortality rate, and isolated mass-shooting events. The raw datasets come from the Centers for Disease Control and Prevention (CDC), the Federal Reserve Economic Data (FRED), and the Gun Violence Archive By observing before and after the peak of the pandemic, the overall effect of COVID-19 on mental health can be analyzed and more thoroughly understood using this data. We hypothesized that the older adult population would be more susceptible to mental health issues throughout the pandemic due to their high mortality risk. However, our results indicate that the mental health of the youngest adult population (18-29 years) was most negatively affected by the COVID-19 pandemic.


Steps to reproduce

These data (.csv files) can be visualized, modified, and analyzed using the statistical software R. The data files referenced in the R scripts should be used to run the program. The implications gathered from the datasets will provide numerous avenues for extended COVID-19 and overall health research. This data could be used to recognize patterns in U.S. state responses, predict upcoming trends in health data, and improve future pandemic policies and mandates.


Ursinus College


Mathematics, Statistics