Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures | Zendy

Moulay Abdellatif Lmater | Zendy; Mohamed Eddabbah | Zendy; Tariq Elmoussaoui | Zendy; Samia Boussaa | Zendy

Open Access

Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures

Author(s) -

Moulay Abdellatif Lmater,

Mohamed Eddabbah,

Tariq Elmoussaoui,

Samia Boussaa

Publication year - 2021

Publication title -

journal of infection and public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.983

H-Index - 35

eISSN - 1876-035X

pISSN - 1876-0341

DOI - 10.1016/j.jiph.2021.01.004

Subject(s) - covid-19 , pandemic , computer science , relaxation (psychology) , mathematical model , risk analysis (engineering) , operations research , econometrics , infectious disease (medical specialty) , engineering , statistics , mathematics , business , outbreak , virology , medicine , disease , pathology

Mathematical modeling is the most scientific technique to understand the evolution of natural phenomena, including the spread of infectious diseases. Therefore, these modeling tools have been widely used in epidemiology for predicting risks and decision-making processes. The purpose of this paper is to provide an effective mathematical model for predicting the spread of Covid-19 pandemic.

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