تجاوز إلى المحتوى الرئيسي

A new model for epidemic prediction: COVID-19 in kingdom saudi arabia case study

Author name : Loay Faisal Ibrahim Ahmed
Publication Date : 2021-01-23
Journal Name : Materials Today: Proceedings

Abstract

Coronavirus disease-2019 (COVID-19) is a viral infection that rose in a city in the Chinese province of
Hubei, Wuhan. The world did not wait too long until the virus spread to reach Europe, Africa, and
America to be a global pandemic. Due to the lack of information about the behaviour of the virus, several
prediction models are in use all over around the world for decision making and taking precautionary
actions. Therefor, in this paper, a new model named MSIR based on SIR model is proposed. The model
is used to predict the spread of the disease in three cities Riyadh, Hufof and Jeddah in the kingdom of
Saudi Arabia. Also the estimation of disease propagation with and without containment measure is carried out. We think that the results could be used to enhance the predictability of the pandemic outbreaksin other cities and to build long term artificial intelligence prediction model

Keywords

COVID-19, Pandemic spreading, SIR Model prediction, Pandemic, Decision making

Publication Link

https://doi.org/10.1016/j.matpr.2021.01.088

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا