Analysis of COVID-19 pandemics in Kazakhstan

Baurzhan Zhussupov, Timur M. Saliev, Gulya Sarybayeva, Kuanysh S. Altynbekov, Shynar B. Tanabayeva, Sagat Altynbekov, Gulnara Tuleshova, Dainius Pavalkis, Ildar Ravisovich Fakhradiyev

2021

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.34172/jrhs.2021.52
Data confidence 70 medium
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Abstract

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). CONCLUSION: 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.