Mobility’s Impact on COVID-19 Cases in ASEAN: A Panel Data Regression Study
Abstract
Objective: This study aimed to analyze the impact of community mobility on the Corona virus disease 2019 (COVID-19) cases in ASEAN countries using panel data regression.
Material and Methods: The Google Mobility Report and World Health Organization (WHO) COVID-19 Global Data were analyzed from February 15, 2020, to October 13, 2022. Three distinct periods were examined: pre-vaccination, vaccination rollout, and post-herd immunity. Panel data regression models were employed to assess the impact of various mobility factors on daily COVID-19 cases.
Results: The analysis revealed that mobility patterns significantly influenced COVID-19 case numbers during the pre-vaccination period. As vaccination programs progressed and herd immunity was achieved, the impact of mobility on new cases diminished. The models explained with R2 were between 20.15% and 33.33% of the variations in case numbers across the periods.
Conclusion: This study emphasizes the importance of community mobility in COVID-19 transmissions. Effective vaccination strategies and public health measures are crucial in mitigating the impact of mobility on disease spread.
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