Rural–Urban Divide of COVID-19 Fatalities in India—Investigating the Role of Lifestyle Disorder Diseases

Abstract Using data on weekly COVID-19 infections and fatalities at the district level for 19 states and 4 union territories of India, we investigate the determinants of COVID-19 deaths focusing exclusively on the second wave of infections. We include several macroeconomic and structural indicators for districts namely, per capita district domestic product, the degree of urbanization, population density, percentage of aged population, share of agriculture, poverty, among several others. Our findings suggest that fatalities have a clear rural–urban divide. Rural agricultural districts with more poor people have experienced less cases and fatalities. Fatalities are more clustered in prosperous and dense industrial districts. Regions having higher COVID-19 fatalities also have a higher proportion of ageing population with urban life-style disorder related diseases such as obesity, diabetes, and hypertension. Prevalence of respiratory illnesses further aggravates the effects of some of these life-style disorder diseases on COVID-19 fatalities.

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Journal
Journal of Quantitative Economics
Published
2024-10-26
DOI
https://doi.org/10.1007/s40953-024-00422-w
Primary Topic
COVID-19 and Mental Health
Type
article
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article

Rural–Urban Divide of COVID-19 Fatalities in India—Investigating the Role of Lifestyle Disorder Diseases

Parantap Basu, Susmita Das, Mahuya Sengupta, Ritwik Mazumder et al.
Journal of Quantitative Economics
COVID-19 and Mental Health
article

Rural–Urban Divide of COVID-19 Fatalities in India—Investigating the Role of Lifestyle Disorder Diseases

Parantap Basu, Susmita Das, Mahuya Sengupta, Ritwik Mazumder, Ananya Choudhury
article en

Abstract

Abstract Using data on weekly COVID-19 infections and fatalities at the district level for 19 states and 4 union territories of India, we investigate the determinants of COVID-19 deaths focusing exclusively on the second wave of infections. We include several macroeconomic and structural indicators for districts namely, per capita district domestic product, the degree of urbanization, population density, percentage of aged population, share of agriculture, poverty, among several others. Our findings suggest that fatalities have a clear rural–urban divide. Rural agricultural districts with more poor people have experienced less cases and fatalities. Fatalities are more clustered in prosperous and dense industrial districts. Regions having higher COVID-19 fatalities also have a higher proportion of ageing population with urban life-style disorder related diseases such as obesity, diabetes, and hypertension. Prevalence of respiratory illnesses further aggravates the effects of some of these life-style disorder diseases on COVID-19 fatalities.

Journal of Quantitative EconomicsVol. 23(1)
Durham University (GB), Assam University (IN)
Openalex Percentile: Top 73%
COVID-19 and Mental Health
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