Academic Journal

Determining the Predictors of Covid-19 Disease Based on Data from Fars Province

التفاصيل البيبلوغرافية
العنوان: Determining the Predictors of Covid-19 Disease Based on Data from Fars Province
المؤلفون: Zahra Hemati, Mehrab Sayadi, Mehrzad Lotfi, Abdulrasool Hemmati, Fatemeh Azadian, Alireza Mirahmadizadeh, Fatemeh Rezaei, Babak Shirazi Yeganeh
المصدر: Journal of Health Sciences and Surveillance System, Vol 11, Iss 1 (Supplement), Pp 195-201 (2023)
بيانات النشر: Shiraz University of Medical Sciences, 2023.
سنة النشر: 2023
المجموعة: LCC:Public aspects of medicine
مصطلحات موضوعية: covid-19, diagnosis, risk factors, signs, symptoms, Public aspects of medicine, RA1-1270
الوصف: Background: The coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide and becoming a pandemic. Since the diagnostic tests are relatively expensive, simple diagnostic tests are valuable for quarantining individuals suspicious of COVID- 19. This study is designed to predict the potential contributing factors of COVID-19 diagnosis.Methods: It was a referral-based historical cohort study. 363358 individuals referred to the health centers from February to November 2020 in Fars province were entered in the study. The collected data before the lab test were symptoms, underlying diseases, some conditions, risk factors, and demographic information. The Reverse transcriptase polymerase chain reaction test was performed to identify the COVID-19 virus. Chi-square and T-tests were used to compare the variables. A logistic regression test was used to identify predictor variables.Results: Positive COVID-19 test was reported for 119,324 (% 34.9) participations. The positive group result was compared with that of the negative group (n=244,034). The studied symptoms were significant in positive patients. According to the odds ratio (OR), smell disorder (OR=3.80, P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2345-2218
2345-3893
Relation: https://jhsss.sums.ac.ir/article_49037_9eaaeed6d61ae1d9365735f7ff7d16d4.pdf; https://doaj.org/toc/2345-2218; https://doaj.org/toc/2345-3893
DOI: 10.30476/jhsss.2022.93049.1411
URL الوصول: https://doaj.org/article/3fcd9ddb4b724599a2288e552d047c7b
رقم الانضمام: edsdoj.3fcd9ddb4b724599a2288e552d047c7b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23452218
23453893
DOI:10.30476/jhsss.2022.93049.1411