Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?” | Zendy

Sergio Rojas | Zendy

Open Access

Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”

Author(s) -

Sergio Rojas

Publication year - 2020

Publication title -

chaos solitons and fractals x

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.457

H-Index - 5

ISSN - 2590-0544

DOI - 10.1016/j.csfx.2020.100047

Subject(s) - covid-19 , estimation , outbreak , epidemic model , envelope (radar) , econometrics , pandemic , mathematics , statistics , disease , computer science , demography , medicine , virology , infectious disease (medical specialty) , economics , telecommunications , sociology , population , radar , management , pathology

This comment shows that data regarding cumulative confirmed cases from the coronavirus COVID-19 disease outbreak, in the period December 31, 2019–June 29, 2020 of some countries reported by the European Centre for Disease Prevention and Control, can be adjusted by the exact solution of the Kermack – McKendrick approximation of the SIR epidemiological model.

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