Abstract Number:
2656
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Jiangmei Xiong (1), Maximilian Rohde (1)
Institutions:
(1) N/A, N/A
Co-Author:
First Author:
Presenting Author:
Abstract Text:
Social distancing during the COVID-19 pandemic caused significant changes in everyday life. Leveraging the rich longitudinal data provided by the General Social Survey (GSS), we analyze the profound impacts of the COVID-19 pandemic on American life, specifically focusing on changes in interpersonal relationships, computer and technology usage, and subjective well-being. By analyzing trends before and during the pandemic, we identify significant shifts in the reported behaviors and psychological state of survey respondents. We present novel interactive visualizations to explore these trends. We also construct statistical models to assess the degree to which changes in subjective well-being can be explained by the changes in interpersonal relationships and technology use. These analyses inform societal responses to pandemics and could also guide policies and interventions to mitigate negative social effects brought on by COVID-19 and future pandemics.
Keywords:
statistical social science|data visualization|COVID-19| | |
Sponsors:
Section on Statistical Computing
Tracks:
Miscellaneous
Can this be considered for alternate subtype?
Yes
Are you interested in volunteering to serve as a session chair?
Yes
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand