Preprint Short Note Version 1 Preserved in Portico This version is not peer-reviewed

Defining and Computing Reproduction Numbers to Monitor the Outbreak of Covid-19 or Other Epidemics

Version 1 : Received: 29 June 2020 / Approved: 30 June 2020 / Online: 30 June 2020 (11:40:43 CEST)
Version 2 : Received: 15 February 2021 / Approved: 16 February 2021 / Online: 16 February 2021 (13:18:54 CET)

How to cite: Zingano, P.; Zingano, J.; Silva, A.; Zingano, C. Defining and Computing Reproduction Numbers to Monitor the Outbreak of Covid-19 or Other Epidemics. Preprints 2020, 2020060370. https://doi.org/10.20944/preprints202006.0370.v1 Zingano, P.; Zingano, J.; Silva, A.; Zingano, C. Defining and Computing Reproduction Numbers to Monitor the Outbreak of Covid-19 or Other Epidemics. Preprints 2020, 2020060370. https://doi.org/10.20944/preprints202006.0370.v1

Abstract

We discuss the generation of various reproduction ratios or numbers to monitor the outbreak of Covid-19 or other epidemics and examine the effects of intervention/relaxation measures. A detailed SEIR algorithm is described for their computation, with applications given to the current Covid-19 outbreak in several countries in America (Argentina, Brazil, Mexico, US) and Europe (France, Italy, Spain and UK). The corresponding matlab script, complete and ready to use, is provided for free downloading.

Supplementary and Associated Material

https://www.worldometers.info/coronavirus/: source of data for the computations
https://covid.saude.gov.br/: alternative source of data for the computations regarding Brazil
https://drive.google.com/drive/folders/16kLxlZyqH-QATOLQI6QWTx7qZnL3IoCP: repository of computer program for free download

Keywords

Covid-19 outbreak; SARS-Cov-2 coronavirus; reproduction numbers; deterministic SEIR models; parameter determination; robust methods

Subject

Computer Science and Mathematics, Computational Mathematics

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