IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/101904.html
   My bibliography  Save this paper

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

Author

Listed:
  • Baser, Onur

Abstract

Since March 2020, Turkey has been experiencing a large outbreak of a novel coronavirus (2019-nCoV). We estimated the population weighted density for each of the 81 cities in Turkey as well as the districts of its three densest cities. Istanbul, a city of 16 million, has a district with a population weighted density more than 5 times higher than New York City, the epicenter of Covid-19 pandemic. By using weighted least squares, we calculated the elasticity of the Covid-19 spread with respect to population weighted density as 0.67. 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 and rank some of the cities according to their success at minimizing death given their population weighted density.

Suggested Citation

  • Baser, Onur, 2020. "Population density index and its use for distribution of covid-19: A case study using Turkish data," MPRA Paper 101904, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:101904
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/101904/1/MPRA_paper_101904.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Craig, 1984. "Averaging population density," Demography, Springer;Population Association of America (PAA), vol. 21(3), pages 405-412, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mateo Carlos Galindo-Pérez & Manuel Suárez & Ana Rosa Rosales-Tapia & José Sifuentes-Osornio & Ofelia Angulo-Guerrero & Héctor Benítez-Pérez & Guillermo de Anda-Jauregui & Juan Luis Díaz-de-León-Santi, 2022. "Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization," IJERPH, MDPI, vol. 19(2), pages 1-23, January.
    2. Jessica Yu & Paul Gustafson & Martino Tran & Michael Brauer, 2022. "Assessing Trade-Offs and Optimal Ranges of Density for Life Expectancy and 12 Causes of Mortality in Metro Vancouver, Canada, 1990–2016," IJERPH, MDPI, vol. 19(5), pages 1-17, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard V. Adkisson & Lawrence D. LaPlue & Christopher J. Sroka, 2020. "The Role of Initial Conditions in Post-Great Recession Recovery and Development: Single-County MSAs," Economic Development Quarterly, , vol. 34(1), pages 64-77, February.
    2. Fabio Vanni & David Lambert, 2021. "On the regularity of human mobility patterns at times of a pandemic," Working Papers hal-04103882, HAL.
    3. Fabio Vanni & David Lambert, 2021. "On the regularity of human mobility patterns at times of a pandemic," Papers 2104.08975, arXiv.org.
    4. 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.
    5. Plane, David A. & Mu, Wangshu, 2021. "A people-based density perspective on physical/virtual world spaces in the microcosmic city," Land Use Policy, Elsevier, vol. 111(C).
    6. Fabio Vanni & David Lambert, 2021. "On the regularity of human mobility patterns at times of a pandemic," SciencePo Working papers Main hal-04103882, HAL.
    7. Richard V. Adkisson & Francisco J. Pallares, 2016. "Retail employment in rural America: The case of New Mexico," Regional Science Policy & Practice, Wiley Blackwell, vol. 8(1-2), pages 75-91, March.

    More about this item

    Keywords

    Density index; covid-19; turkish data; distribution;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • I1 - Health, Education, and Welfare - - Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:101904. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.