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The Cyclicity of coronavirus cases: “Waves” and the “weekend effect”

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  • Soukhovolsky, Vladislav
  • Kovalev, Anton
  • Pitt, Anne
  • Shulman, Katerina
  • Tarasova, Olga
  • Kessel, Boris

Abstract

Medical statistics is one of the "milestones" of current medical systems. It is the foundation for many protocols, including medical care systems, government recommendations, epidemic planning, etc. At this time of global COVID-19, credible data on epidemic spread can help governments make better decisions. This study's aim is to evaluate the cyclicity in the number of daily diagnosed coronavirus patients, thus allowing governments to plan how to allocate their resources more effectively.

Suggested Citation

  • Soukhovolsky, Vladislav & Kovalev, Anton & Pitt, Anne & Shulman, Katerina & Tarasova, Olga & Kessel, Boris, 2021. "The Cyclicity of coronavirus cases: “Waves” and the “weekend effect”," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:chsofr:v:144:y:2021:i:c:s0960077921000710
    DOI: 10.1016/j.chaos.2021.110718
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    References listed on IDEAS

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    1. Soukhovolsky, Vladislav & Kovalev, Anton & Pitt, Anne & Kessel, Boris, 2020. "A new modelling of the COVID 19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
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