[Paper Review] How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States

Aliakbar Kabiri, Aref Darzi+3 more|arXiv (Cornell University)|Jul 20, 2020

Human Mobility and Location-Based Analysis12 references4 citations

TL;DR

This study analyzes age-group differences in mobility behavior during the early U.S. COVID-19 pandemic using anonymized mobile device data from March–May 2020. It finds that older adults (seniors) exhibited faster and more consistent adherence to social distancing measures compared to younger groups, particularly in response to national emergency declarations and stay-at-home orders.

ABSTRACT

The rapid spread of COVID-19 has affected thousands of people from different socio-demographic groups all over the country. A decisive step in preventing or slowing the outbreak is the use of mobility interventions, such as government stay-at-home orders. However, different socio-demographic groups might have different responses to these orders and regulations. In this paper, we attempt to fill the current gap in the literature by examining how different communities with different age groups performed social distancing by following orders such as the national emergency declaration on March 13, as well as how fast they started changing their behavior after the regulations were imposed. For this purpose, we calculated the behavior changes of people in different mobility metrics, such as percentage of people staying home during the study period (March, April, and May 2020), in different age groups in comparison to the days before the pandemic (January and February 2020), by utilizing anonymized and privacy-protected mobile device data. Our study indicates that senior communities outperformed younger communities in terms of their behavior change. Senior communities not only had a faster response to the outbreak in comparison to young communities, they also had better performance consistency during the pandemic.

Motivation & Objective

• To investigate how different age groups in the United States altered mobility behaviors in response to the COVID-19 pandemic.
• To assess the speed and consistency of behavioral changes following national emergency declarations and stay-at-home orders.
• To identify disparities in social distancing compliance across age groups using real-world mobility data.
• To evaluate the effectiveness of mobility interventions by socio-demographic group, focusing on seniors versus younger populations.
• To contribute empirical evidence on age-specific responses to public health mandates during a pandemic crisis.

Proposed method

• Utilized anonymized and privacy-protected mobile device location data to track population-level mobility patterns.
• Compared mobility metrics—such as the percentage of people staying home—between pre-pandemic (January–February 2020) and pandemic periods (March–May 2020).
• Segmented the population into distinct age groups to analyze behavioral differences over time.
• Measured response speed by identifying the timing of behavioral shifts relative to key policy events, such as the national emergency declaration on March 13, 2020.
• Applied time-series analysis to assess consistency and magnitude of behavior changes across age cohorts.
• Used statistical comparison to evaluate differences in mobility reduction and response latency between age groups.

Experimental results

Research questions

• RQ1 How did mobility behaviors change across different age groups in response to the onset of the COVID-19 pandemic in the U.S.?
• RQ2 What was the speed of behavioral response to national emergency declarations and stay-at-home orders among various age groups?
• RQ3 How consistent were mobility behavior changes over time among different age groups during the pandemic?
• RQ4 Did older adults demonstrate more effective or faster adherence to social distancing measures compared to younger populations?
• RQ5 To what extent did socio-demographic factors, particularly age, influence compliance with mobility interventions during the early pandemic phase?

Key findings

• Senior communities (aged 65+) showed the most rapid response to the national emergency declaration on March 13, 2020, with significant reductions in mobility occurring earlier than in younger groups.
• Seniors maintained a consistently higher level of social distancing throughout March, April, and May 2020 compared to younger age groups.
• The percentage of seniors staying home increased substantially during the pandemic period, indicating stronger compliance with stay-at-home orders.
• Younger populations (especially those under 35) exhibited slower behavioral changes and less consistent adherence to mobility restrictions.
• The study found a clear age gradient in response: older adults were more likely to reduce mobility quickly and sustain the change.
• Mobility reduction was most pronounced in the 65+ age group, with a significantly higher proportion remaining at home compared to other age groups during the peak pandemic months.