Impact of the COVID-19 Policies on Morbidity and Mortality

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Date
2024
Authors
RAHMAN, MOHAMMAD LUTFOR
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Publisher
Middle Tennessee State University
Abstract
This dissertation research deals with the panel data ordinary least square regression analysis to measure the impact of COVID-19 policies on morbidity and mortality. World Health Organization (WHO), the Center for Disease Control (CDC) USA, policymakers, medical scientists, and governments suggest various policies to reduce COVID-19-related morbidity and mortality. I aim to examine the effectiveness of those policies. I subdivided all policies into three groups: preventive policies, behavioral policies, and direct disease-related policies. The COVID19 data set I used is extracted from the Oxford-Covid-19-government-response-tracker (OxCGRT) from January 01, 2020, to December 31, 2022. After performing the tests using the Python package, the results show that most of the policies’ effects on morbidity are statistically significant except for the contact tracing and diseases-related information campaign policies. For the mortality, this research found that, except for the close public transport policy and diseases-related information campaign policy, the effect of other policies on mortality was statistically significant.
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Keywords
COVID-19, Fixed effect model, Hausman test, Random Effect model, Economics
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