Choisy, M., Guégan, J.-F. and Rohani, P. (2007) Mathematical Modeling of Infectious Diseases Dynamics. In: Tibayrenc, M., Encyclopedia of Infectious Diseases: Modern Mothodologies, John Wiley and Sons, Inc., USA, Chapter 22.

has been cited by the following article:

• TITLE: Contribution to the Mathematical Modeling of COVID-19 in Niger

  AUTHORS: Badjo Kimba Abdoul Wahid, Djibo Moustapha, Hassane Ganda Rabi, Saley Bisso

  KEYWORDS: Covid-19, Epidemiology, Differential Equations, Operators, Numerical Analysis, Matlab

  JOURNAL NAME: Applied Mathematics, Vol.11 No.6, May 28, 2020

  ABSTRACT: We are interested in this paper in the modeling and analysis of the disease of COVID-19 applied to the capital of Niger: Niamey. The model we are presenting takes into account the strategy that the country has adopted to fight this pandemic. The spread of the infectious agent within the population is a dynamic phenomenon: the number of the healthy and sick individuals changes over time, depending on the contacts during which the pathogen passes from an infected individual to a healthy individual. We model this propagation phenomenon by a set of differential systems equations and determine its behavior through a numerical resolution.