Asymmetry in the peak in Covid-19 daily cases and the pandemic R-parameter.

Covid-19 (SARS-CoV-2) Pandemic parameters Pandemics SIR Model Universal Scaling Laws

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
01 Aug 2023
Historique:
pubmed: 7 8 2023
medline: 7 8 2023
entrez: 7 8 2023
Statut: epublish

Résumé

Within the context of the standard SIR model of pandemics, we show that the asymmetry in the peak in recorded daily cases during a pandemic can be used to infer the pandemic R-parameter. Using only daily data for symptomatic, confirmed cases, we derive a universal scaling curve that yields: (i) r

Identifiants

pubmed: 37546829
doi: 10.1101/2023.07.23.23292960
pmc: PMC10402219
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

Competing Interests: The authors declare there are no competing interests.

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Auteurs

Sayali Bhatkar (S)

Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai 40005, India.

Mingyang Ma (M)

Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, 08854, USA.

Mary Zsolway (M)

School of Arts and Sciences, Rutgers University, Piscataway, NJ, 08854, USA.

Ayush Tarafder (A)

School of Arts and Sciences, Rutgers University, Piscataway, NJ, 08854, USA.

Sebastian Doniach (S)

Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.

Gyan Bhanot (G)

Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, 08854, USA.
Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, NJ, 08854, USA.

Classifications MeSH