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Analyzing Covid-19 Pandemic Through Cases and Spillover Effect: Cross Wavelet Transformation of Mobility in the Countries

Author

Listed:
  • Ibrahim Dogan

    (Yozgat Bozok University)

  • Aydan Dogan

    (Yozgat Bozok University)

  • Suleyman Gurbuz

    (Yozgat Bozok University)

  • Umit Cirakli

    (Izmir Bakircay University)

Abstract

This research examines the relationship between daily Covid-19 cases and public mobility for six different places, where mobility can be high, in Brazil, the UK, and the USA. We tried to show how the spreading effect of infectious diseases occurs in places where human mobility is intense. The data consists of daily data covering the periods from 28/02/2020 to 08/02/2021, which includes the database of Our World in Data and Google Mobility Reports. Basically, there is a positive correlation between mobility and case numbers. Results in the paper differ from country to country. That is to say, mobility in grocery stores and pharmacies can be said to have an impact on the number of cases in all three countries. Brazil is the country where mobility in parks has the strongest impact. The country which has the lowest frequency in retail outlets is America.

Suggested Citation

  • Ibrahim Dogan & Aydan Dogan & Suleyman Gurbuz & Umit Cirakli, 2025. "Analyzing Covid-19 Pandemic Through Cases and Spillover Effect: Cross Wavelet Transformation of Mobility in the Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 8343-8357, June.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-023-01729-4
    DOI: 10.1007/s13132-023-01729-4
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    References listed on IDEAS

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I0 - Health, Education, and Welfare - - General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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