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Population density index and its use for distribution of Covid-19: A case study using Turkish data

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  • Baser, Onur

Abstract

Since March 2020, many countries around the world have been experiencing a large outbreak of a novel coronavirus (2019-nCoV). Because there is a higher rate of contact between humans in cities with higher population weighted densities, Covid-19 spreads faster in these areas. In this study, we examined the relationship between population weighted density and the spread of Covid-19. Using data from Turkey, we calculated the elasticity of Covid-19 spread with respect to population weighted density to be 0.67 after controlling for other factors. In addition to the density, the proportion of people over 65, the per capita GDP, and the number of total health care workers in each city positively contributed to the case numbers, while education level and temperature had a negative effect. We suggested a policy measure on how to transfer health care workers from different areas to the areas with a possibility of wide spread.

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  • Baser, Onur, 2021. "Population density index and its use for distribution of Covid-19: A case study using Turkish data," Health Policy, Elsevier, vol. 125(2), pages 148-154.
    • Handle: RePEc:eee:hepoli:v:125:y:2021:i:2:p:148-154
    DOI: 10.1016/j.healthpol.2020.10.003
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    Cited by:

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    2. Paulo Rita & Nuno António & João Neves, 2023. "The Impact of the COVID-19 Pandemic on the Tourism Sector in the Autonomous Region of Madeira," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    3. Sefa Awaworyi Churchill & John Inekwe & Kris Ivanovski, 2023. "Has the COVID-19 pandemic converged across countries?," Empirical Economics, Springer, vol. 64(5), pages 2027-2052, May.
    4. Chen Lu & Xiaodi Yi & Xiaocui Ren, 2022. "Social Group Differences in the Exposure Risk of COVID-19: A Case Study in Beijing, China," IJERPH, MDPI, vol. 19(3), pages 1-19, January.

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