COVID-19 Pandemic Severity, Lockdown Regimes, and People Mobility: Early Evidence from 88 Countries
Md. Mokhlesur Rahman, Jean-Claude Thill, Kamal Chandra Paul

TL;DR
This study analyzes how lockdowns, socioeconomic factors, and pandemic severity influence mobility and social distancing across 88 countries, revealing lockdowns promote distancing but socioeconomic factors limit its effectiveness.
Contribution
It provides empirical evidence on the complex relationships between pandemic severity, mobility, lockdowns, and socioeconomic factors using SEM across multiple countries.
Findings
Lockdowns significantly promote social distancing.
Socioeconomic factors limit social distancing effectiveness.
Countries with older populations and higher globalization face worse pandemic impacts.
Abstract
This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces, and residential areas, and lockdown measures in 88 countries of the word. To conduct the study, data on mobility patterns, socioeconomic and demographic characteristics of people, lockdown measures, and coronavirus pandemic were collected from multiple sources (e.g., Google, UNDP, UN, BBC, Oxford University, Worldometer). A Structural Equation Modeling (SEM) technique is used to investigate the direct and indirect effects of independent variables on dependent variables considering the intervening effects of mediators. Results show that lockdown measures have significant effects to encourage people to maintain social distancing. However, pandemic severity and socioeconomic and institutional factors have…
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