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Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time
Aravind Gandhi Periyasamy1, U Venkatesh2
1Department of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Healthcare Informatics Research
|November 17, 2021
Summary
India
Area of Science:
- Epidemiology
- Public Health Policy
Background:
- Physical distancing is crucial for controlling coronavirus disease 2019 (COVID-19).
- Lockdowns are drastic measures to enforce physical distancing in urban areas.
Purpose of the Study:
- To assess the effectiveness of India's lockdown measures on COVID-19.
- To explore the relationship between community mobility and COVID-19 doubling time.
Main Methods:
- Retrospective analysis of mobility, lockdown stringency, and COVID-19 doubling time (Feb 15 - Apr 26, 2020).
- Pearson correlation and multiple linear regression were used.
Main Results:
- Community mobility significantly decreased post-lockdown.
- Outdoor mobility negatively correlated with COVID-19 doubling time (r = -0.45 to -0.58).
- Mobility patterns predicted doubling time (R2 = 0.67), improved with stringency index (R2 = 0.73).
Conclusions:
- Lockdowns effectively promoted physical distancing and reduced short-term COVID-19 spikes in India.
- Intermittent lockdown implementation may be considered for managing healthcare capacity.
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