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

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

Chaos, Solitons & Fractals, 2021, vol. 144, issue C

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.

Keywords: Coronavirus; dynamics; time series; waves; week end effect; spectral analysis; autoregression (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:144:y:2021:i:c:s0960077921000710

DOI: 10.1016/j.chaos.2021.110718

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