Estimating the Trend of COVID-19 in Iran Before and After the Start of Vaccination

被引:0
|
作者
Safarzadeh, Alireza [1 ]
Heidarian, Mohammad Javad [2 ]
Sharifanfar, Reza [3 ]
Haqiqi, Sina Forqandoost [4 ]
Jamali, Mohammad Reza [5 ]
机构
[1] Univ Tehran, Sch Elect & Comp Engn, Tehran, Iran
[2] Pulseware Co, R&D Expert, Tehran, Iran
[3] Pulseware Co, R&D Manager, Tehran, Iran
[4] Univ Texas Dallas, Sch Management, Richardson, TX 75083 USA
[5] Pulseware Co, CEO, Tehran, Iran
关键词
COVID-19; Estimation; Vaccination; Mortality Risk;
D O I
10.1109/CSCI54926.2021.00251
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The newly emerging coronavirus 2 (SARS-CoV-2), known as COVID-19, is a severe acute respiratory syndrome. On 11th March 2020 this virus has been recognized as a pandemic by the World Health Organization (WHO). There are many unknowns about this virus to date. The prime objective is to control from spreading worldwide. This paper used six mathematical model for predicting COVID-19 virus behavior and effects of vaccination on controlling the spreading the virus in five countries with special focus on Iran. The modeling studies are conducted for Germany, USA, Turkey, and Israel. In the following sections, each country , is studied and finally the trend in Iran analyzed and compared with other countries. The results showed that, after vaccination of more than 50% of the population, the mortality rate due to COVID-19 decreased by more than 70%. Also results showed that High-paced vaccination led to a decrease of about 10.35 million fewer COVID-19 cases and about 240 thousand fewer death cases in these countries.
引用
收藏
页码:1209 / 1216
页数:8
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