
A Mathematical Model of COVID-19: Analysis and Identification of Parameters for Better Decision Making
Author(s) -
Ouaténi Diallo,
Yénizié Kone,
Chata Sanogo,
Jérôme Pousin
Publication year - 2022
Publication title -
applied mathematics
Language(s) - English
Resource type - Journals
eISSN - 2152-7393
pISSN - 2152-7385
DOI - 10.4236/am.2022.132016
Subject(s) - ordinary differential equation , basic reproduction number , class (philosophy) , epidemic model , covid-19 , mathematical model , population , stability (learning theory) , identification (biology) , function (biology) , mathematics , computer science , differential equation , calculus (dental) , mathematical economics , statistics , disease , demography , infectious disease (medical specialty) , medicine , artificial intelligence , mathematical analysis , biology , machine learning , sociology , botany , dentistry , pathology , evolutionary biology