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. 2022 Dec 5:10.1111/rsp3.12598.
doi: 10.1111/rsp3.12598. Online ahead of print.

COVID-19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages

Affiliations

COVID-19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages

Qianqian Sun et al. Reg Sci Policy Prac. .

Abstract

Mobility interventions in communities play a critical role in containing a pandemic at an early stage. The real-world practice of social distancing can enlighten policymakers and help them implement more efficient and effective control measures. A lack of such research using real-world observations initiates this article. We analyzed the social distancing performance of 66,149 census tracts from 3,142 counties in the United States with a specific focus on income profile. Six daily mobility metrics, including a social distancing index, stay-at-home percentage, miles traveled per person, trip rate, work trip rate, and non-work trip rate, were produced for each census tract using the location data from over 100 million anonymous devices on a monthly basis. Each mobility metric was further tabulated by three perspectives of social distancing performance: "best performance," "effort," and "consistency." We found that for all 18 indicators, high-income communities demonstrated better social distancing performance. Such disparities between communities of different income levels are presented in detail in this article. The comparisons across scenarios also raise other concerns for low-income communities, such as employment status, working conditions, and accessibility to basic needs. This article lays out a series of facts extracted from real-world data and offers compelling perspectives for future discussions.

Keywords: COVID‐19 pandemic; Mobile location data; causal impact analysis of income; community differences; social distancing behavior.

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Figures

FIGURE 1
FIGURE 1
SDI changes across different periods
FIGURE 2
FIGURE 2
Staying‐home percentage by census tracts on March 13, 2020, and April 13, 2020
FIGURE 3
FIGURE 3
Temporal patterns of six mobility metrics from March 2–April 17, 2020, by income groups
FIGURE 4
FIGURE 4
The disparities in course progression over time of three mobility metrics
FIGURE 5
FIGURE 5
Distribution of the social distancing performance by income groups
FIGURE 6
FIGURE 6
Distribution of propensity scores by groups
FIGURE 7
FIGURE 7
Comparison of absolute standardized mean difference

References

    1. Almeida, M. , Challa, M. , Ribeiro, M. , Harrison, A. M. , & Castro, M. C. (2021). Editorial perspective: The mental health impact of school closures during the COVID‐19 pandemic. Journal of Child Psychology and Psychiatry, 63(5), 608–612. 10.1111/jcpp.13535 - DOI - PMC - PubMed
    1. Ashenfelter, O. (1978). Estimating the effects of training programs on earnings. The Review of Economics and Statistics, 60, 47–57. 10.2307/1924332 - DOI
    1. Austin, P. C. (2011). An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research, 46, 399–424. 10.1080/00273171.2011.568786 - DOI - PMC - PubMed
    1. Baker, S. R. , Bloom, N. , Davis, S. J. , Kost, K. , Sammon, M. , & Viratyosin, T. (2020). The unprecedented stock market reaction to COVID‐19. The. Review of Asset Pricing Studies, 10(4), 742–758. 10.1093/rapstu/raaa008 - DOI
    1. Boyd, S. K. , Davison, P. , Müller, R. , & Gasser, J. A. (2006). Monitoring individual morphological changes over time in Ovariectomized rats by in vivo micro‐computed tomography. Bone, 39(4), 854–862. 10.1016/j.bone.2006.04.017 - DOI - PubMed

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