An algorithm for the robust estimation of the COVID-19 pandemic’s population by considering undetected individuals.

Author:

Martínez-Guerra Rafael,Flores-Flores Juan Pablo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference53 articles.

1. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures;Wang;J. Med. Virol.,2020

2. Novel coronavirus 2019-NCOV: early estimation of epidemiological parameters and epidemic predictions;Read;MedRxiv,2020

3. World Health Organization, What do we know about SARS-cov-2 and COVID-19?, 2020, https://www.who.int/docs/default-source/coronaviruse/risk-comms-updates/update-28-covid-19-what-we-know-may-2020.pdf?sfvrsn=ed6e286c_2.

4. Preliminary estimation of the basic reproduction number of novel coronavirus (2019-ncov) in china, from 2019 to 2020: a data-driven analysis in the early phase of the outbreak;Zhao;Int. J. Infect. Diseases,2020

5. The reproductive number of COVID-19 is higher compared to SARS coronavirus;Liu;J. Travel Med.,2020

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