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

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

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 –...

Full description

Bibliographic Details
Main Author: S. Rojas
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Chaos, Solitons & Fractals: X
Subjects:
Covid-19
Epidemiological SIR model
Computational epidemic modeling
Kermack and McKendrick approximation
Online Access:http://www.sciencedirect.com/science/article/pii/S2590054420300282
id doaj-bf3cae5589ea40f59348fd51ab724f57
record_format Article
spelling doaj-bf3cae5589ea40f59348fd51ab724f572020-12-25T05:12:00ZengElsevierChaos, Solitons & Fractals: X2590-05442020-03-015100047Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”S. Rojas0Departamento de Física, Universidad Simón Bolívar, PO BOX 89000, Caracas 1080-A, VenezuelaThis 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.http://www.sciencedirect.com/science/article/pii/S2590054420300282Covid-19Epidemiological SIR modelComputational epidemic modelingKermack and McKendrick approximation
collection DOAJ
language English
format Article
sources DOAJ
author S. Rojas
spellingShingle S. Rojas
Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
Chaos, Solitons & Fractals: X
Covid-19
Epidemiological SIR model
Computational epidemic modeling
Kermack and McKendrick approximation
author_facet S. Rojas
author_sort S. Rojas
title Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
title_short Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
title_full Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
title_fullStr Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
title_full_unstemmed Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”
title_sort comment on “estimation of covid-19 dynamics “on a back-of-envelope”: does the simplest sir model provide quantitative parameters and predictions?”
publisher Elsevier
series Chaos, Solitons & Fractals: X
issn 2590-0544
publishDate 2020-03-01
description 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.
topic Covid-19
Epidemiological SIR model
Computational epidemic modeling
Kermack and McKendrick approximation
url http://www.sciencedirect.com/science/article/pii/S2590054420300282
work_keys_str_mv AT srojas commentonestimationofcovid19dynamicsonabackofenvelopedoesthesimplestsirmodelprovidequantitativeparametersandpredictions
_version_ 1724371018091331584

Similar Items