Journal of Research in Health Sciences، جلد ۲۱، شماره ۲، صفحات ۰-۰

عنوان فارسی
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عنوان انگلیسی Analysis of COVID-19 pandemics in Kazakhstan
چکیده انگلیسی مقاله Background: This study aimed to analyze the demographic and epidemiological features of identified COVID-19 cases in Kazakhstan. Study design: A cross-sectional study. Methods: This cross-sectional study aimed to analyze COVID-19 cases (n=5116) collected from March 13 to June 6, 2020, in Kazakhstan. The data were obtained from a state official medical electronic database. The study investigated the geographic and demographic data of patients as well as the association of COVID-19 cases with gender and age. The prevalence of symptoms, the presence of comorbidities, complications, and COVID-19 mortality were determined for all patients. Results: The mean±SD age of the patients in this study was 34.8±17.6 years, and the majority (55.7%) of COVID-19 cases were male and residents of cities (79.6%). In total, 80% of the cases had the asymptomatic/mild form of the disease. Cough (20.8 %) and sore throat (17.1%) were the most common symptoms among patients, and pneumonia was diagnosed in 1 out of 5 cases. Acute respiratory distress syndrome (ARDS) was recorded in 1.2% of the patients. The fatality rate was 1% in the study population and lethality was 2.6 times higher in males compared to females. Each additional year in age increased the probability of COVID-19 infection by 1.06 times. The presence of cardiovascular, diabetes, respiratory, and kidney diseases affected the rate of mortality (P< 0.05). Conclusions: The results demonstrated a high proportion (40%) of the asymptomatic type of coronavirus infection in the Kazakhstan population. The severity of COVID-19 symptoms and lethality were directly related to the age of patients and the presence of comorbidities.
کلیدواژه‌های انگلیسی مقاله Comorbidity,COVID-19,Coronavirus,Epidemiology,Mortality

نویسندگان مقاله | Baurzhan Zhussupov


| Timur Saliev


| Gulya Sarybayeva


| Kuanysh Altynbekov


| Shynar Tanabayeva


| Sagat Altynbekov


| Gulnara Tuleshova


| Dainius Pavalkis


| Ildar Fakhradiyev



نشانی اینترنتی http://jrhs.umsha.ac.ir/index.php/JRHS/article/view/6730
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi) 10.34172/jrhs.v0i0.6730
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده Original Articles
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