Volume 23, Issue 5 (1-2022)                   yafte 2022, 23(5): 87-98 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rahimi Z, Heidari zadeh K, Heidari F, Karami K. Prediction of the Effective Factors on the Incidence of COVID-19 Disease in Hospitalized Patients using Statistical Modeling. yafte. 2022; 23 (5) :87-98
URL: http://yafte.lums.ac.ir/article-1-3408-en.html
Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
Abstract:   (1020 Views)
Background: The COVID-19 pandemic has had a significant impact on the well-being of different individuals and nations in terms of socioeconomic, psychological, and public health issues. Regarding the importance of predicting the peak outbreaks and incidence of COVID-19, this study aimed to predict factors that affect the incidence of COVID-19 pandemic in hospitalized patients admitted to a hospital in Khorramabad city of Iran, using a multivariate logistic regression model.
Materials and Methods: In this descriptive-analytical study, the data from 4,425 COVID-19 patients in the first peak of the disease, who were referred to the Shohada-ye Ashayer Hospital, Khorramabad, Iran, in 2020, were examined, from whom 2,978 people had undergone COVID-19 test. Data were collected using a researcher-made checklist for variables and examination of patients’ daily records. Data analysis was performed using descriptive methods, multivariate logistic regression model, and backup vector machine method in the R software for the modeling of risk factors associated with the disease diagnosis.
Results: The highest and lowest rates of incidence were observed in the age range of 40-49 (19%) and 19-10 years (1%).  The age group 60-69 years accounted for 6% of the population with a mortality rate of 25%. Based on the implemented model, the most effective symptoms associated with the incidence of COVID-19 included age, fever, decreased level of consciousness, blood oxygen level, and a history of heart disease.
Conclusion: The present study showed that identification of the effective variables of the disease led to the identification of high-risk individuals. This method can be used to prevent disease incidence and prevalence in high-risk groups and is a great help in controlling the COVID-19 pandemic.
 
Full-Text [PDF 291 kb]   (466 Downloads)    
Type of Study: Research |
Received: 2021/09/28 | Accepted: 2022/01/30 | Published: 2022/03/6

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Yafteh

Designed & Developed by : Yektaweb