Spatial analysis of the COVID-۱۹ prevalence pattern in Yazd province, Central part of Iran (February ۲۰۲۰ to January ۲۰۲۱)
- سال انتشار: 1400
- محل انتشار: فصلنامه تخصصی تحقیقات سلامت، دوره: 11، شماره: 1
- کد COI اختصاصی: JR_JCHR-11-1_007
- زبان مقاله: انگلیسی
- تعداد مشاهده: 169
نویسندگان
Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Assistant Professor of Internal Medicine, Department of Internal Medicine, School of Medicine, Shahid Sadoughi University of Medical Sciences Yazd, Iran
MSc student of Biostatistics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
چکیده
Abstract Introduction: . Yazd province is the center of Iran and the highway for travelers to other cities. This province is susceptible to disease transmission in Iran. this study aimed to spatial analysis of corona virus prevalence, predicting the spread and determination of hot spot areas in Yazd province, central part of Iran. Methods: This analytical Cross-sectional study was conducted in Yazd province from February ۲۰۲۰ to January ۲۰۲۱. Patients with COVID-۱۹ admitted to hospitals in Yazd province were selected by census. Required information includes the number of patients as well as their place of residence were collected through the hospital information system (HIS) of Shahid Sadoughi Hospital in Yazd, Iran. The inclusion criteria were positive polymerase chain reaction (PCR) test for COVID-۱۹ and registration of patient information in the hospital emergency department. After collecting the data, it was entered into the ArcGIS software is ۹.۳.۱. software. Moran's I measure and chi square test were used to data analysis. Significant level were considered ۵ %. Results: Overall disease prevalence in Yazd province was equal to ۰.۰۰۵۳. The prevalence of disease was higher in men (۵۵.۷% , ۳۴۱۲ cases). The highest prevalence of the disease occurred in Yazd city (۰.۰۰۹۶) and the highest death occurred in Meybod city (۲۰.۸%). Bahabad city also had the highest number of transfer (۲.۷%). Areas one (۱۵.۲% and ۹۳۲ patients) and two (۱۵.۹% and ۹۷۵ patients) of Yazd city were the most infected areas. There was no significant spatial pattern between the prevalence of the disease in the cities (Moran's Index: ۰.۱۸, P-value = ۰.۵۸). Conclusion: There was no spatial pattern in the prevalence of the disease and only in the city of Yazd, regions one and two need the special attention of policymakers. Covid-۱۹ disease, geographical distribution, Yazd, Iran.کلیدواژه ها
Covid-۱۹ disease, geographical distribution, Yazd, Iran., بیماری کووید-۱۹, یزد, ایران, توزیع جغرافیاییاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.