The aim of this study is to assess the epidemiological and clinical features of patients diagnosed with COVID-19 in Kazakhstan at the onset of the pandemic.
There is a paucity of data available on the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) in Kazakhstan. While a global effort in search for effective treatments and vaccines against COVID-19 is in effect, it is important that high quality and up-to-date information be available from a broad variety of populations on the dynamics of infection. This is especially important in regions where, due to resource shortage, epidemiologic surveillance may have gaps. To address the current gaps, medical records will be obtained for patients with confirmed COVID-19 during the first months of the pandemic (February-April 2020). The epidemiologic and clinical features including the demographics, clinical manifestation, laboratory parameters, radiologic assessments and clinical outcomes will be analyzed. The results of this study will facilitate the clinical management of COVID-19 patients in Kazakhstan and ultimately inform the ongoing efforts to curb the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the region.
Study Type
OBSERVATIONAL
Enrollment
1,000
Semey Medical University
Semey, East Kazakhstan, Kazakhstan
Clinical and demographic predictors of disease severity among hospitalized COVID-19 patients.
Risk factors associated with disease severity and their odds ratios (ORs) will be assessed by the univariable and multivariable logistic regression models.
Time frame: approximately 70 days
Clinical and demographic predictors of mortality among hospitalized COVID-19 patients.
Risk factors associated with death and their odds ratios (ORs) will be assessed by the univariable and multivariable logistic regression models.
Time frame: approximately 70 days
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