مسلم طاهری - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, ShahidSadoughi University of Medical Sciences, Yazd, Iran
سعید حسینی - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Department of Epidemiology, School of Public Health, Iran University of Medical Sciences
ریحانه سفیدکار - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, ShahidSadoughi University of Medical Sciences, Yazd, Iran
فرزان مددی زاده - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, ShahidSadoughi University of Medical Sciences, Yazd, Iran
حسین فلاح زاده - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, ShahidSadoughi University of Medical Sciences, Yazd, Iran
احمد دهقان - Accident prevention and crisis research center, emergency organization, ShahidSadoughi University of Medical Sciences, Yazd, Iran
ندا دهقانی تفتی - Accident prevention and crisis research center, emergency organization, ShahidSadoughi University of Medical Sciences, Yazd, Iran
محمدحسن لطفی - Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, ShahidSadoughi University of Medical Sciences, Yazd, Iran

Abstract Introduction: The World Health Organization on March ۱۱, ۲۰۲۰ declared the outbreak of severe acute respiratory syndrome Corona virus ۲ disease (COVID-۱۹) a pandemic situation. The main aim of this study was investigating mortality of COVID ۱۹ by considering chronic diseases. Materials and methods: this study was conducted as a cross-sectional in which all confirmed cases were examined. The variables considered in this study were age, sex, diabetes mellitus, cancers, hypertension, heart diseases, kidney diseases, and liver diseases. Independent sample t test, Chi-square and binary logistic regression were used to data analysis. All statistical analysis was done in SPSS ۱۶ and significant level was set at ۰.۰۵. Results: Out of ۲۲۸۴۹ PCR and CT scan tests, ۱۶۰۶۱ ones were positive. According to the confirmed cases, prevalence of COVID-۱۹ was calculated about ۰.۰۱۹. Also hospital case fatality rate and mortality rate were calculated ۱۵۶ and about ۸.۲ per ۱۰۰۰۰۰ respectively.  Hypertension, and age had significant relationship with morbidity of COVID-۱۹, in other hand, age (OR: ۴.۵۱, p<۰.۰۰۱), kidney diseases (OR: ۱.۸۴, p<۰.۰۰۱), diabetes mellitus (OR: ۱.۳۱, p<۰.۰۰۱), cancer (OR: ۲.۷۳, p<۰.۰۰۱), liver diseases (OR: ۲.۲۷, p<۰.۰۰۱) had impact on mortality of covid-۱۹. Population Attributable Fraction (PAF) showed that diabetes mellitus, cancers, kidney diseases, and liver diseases had ۴.۲, ۲.۴, ۱.۳, and ۰.۲ percent, respectively. Conclusion: age and some underlying diseases increase odds of death due to COVID-۱۹. It seems that preventing high-risk people from being infected is an effective solution to reduce COVID-۱۹ death rate. To do this, health protocols need to be implemented more seriously for these sensitive groups.  

SARS-COV-۲, Risk Factors, Population attributable fraction, pandemic, Yazd, Iran, کووید ۱۹, سهم منتسب جمعیتی, یزد