Investigating the Impact of Health-Protective Behaviors on Morbidity and non-Morbidity COVID-19 among Workers in Oil Refining Industry Using Machine Learning algorithms

Investigating the Impact of Health-Protective Behaviors on Morbidity and non-Morbidity COVID-19 among Workers in Oil Refining Industry Using Machine Learning algorithms

Introduction: The prevalence of COVID-19 has significantly impacted work environments and the workforce. Therefore, identifying the most important preventive and control strategies, as well as assessing their effectiveness, is of paramount importance. Various studies have shown that machine learning...

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Bibliographic Details
Main Authors: Saba Kalantary, Bahman Pourhassan, Zahra Beigzadeh, Vida Shahbazian, Ali Jahani
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2024-03-01
Series:بهداشت و ایمنی کار
Subjects:
covid-19
health behaviors
occupational setting
morbidity
machine learning algorithm
sensitivity analysis
Online Access:http://jhsw.tums.ac.ir/article-1-6940-en.pdf

Internet

http://jhsw.tums.ac.ir/article-1-6940-en.pdf

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