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Liu, Z., Magal, P., Seydi, O. and Webb, G. (2020) Predicting the Cumulative Number of Cases for the COVID-19 Epidemic in China from Early Data. Mathematical Biosciences and Engineering.
https://doi.org/10.1101/2020.03.11.20034314

has been cited by the following article:

• TITLE: Mathematical Model of the Spread of the Coronavirus Disease 2019 (COVID-19) in Burkina Faso

  AUTHORS: Aboudramane Guiro, Blaise Koné, Stanislas Ouaro

  KEYWORDS: COVID-19, Statistics, Data, Exposed Person, Reported and Unreported Cases, Mathematical Model, Public Policies, Basic Reproduction Number, Prediction

  JOURNAL NAME: Applied Mathematics, Vol.11 No.11, November 30, 2020

  ABSTRACT: In this paper, we develop a mathematical model of the COVID-19 pandemic in Burkina Faso. We use real data from Burkina Faso National Health Commission against COVID-19 to predict the dynamic of the disease and also the cumulative number of reported cases. We use public policies in model in order to reduce the contact rate, this allows to show how the reduction of the daily report of infectious cases goes, so we would like to draw the attention of decision makers for a rapid treatment of reported cases.