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Epidemiological characteristics of Covid-19 patients in XXX province, in XXX
  • Cagla Ozdemir,
  • Adem Durmaz,
  • Nurcan Akbas Gunes
Cagla Ozdemir
Kutahya Community health Center

Corresponding Author:[email protected]

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Adem Durmaz
Yıldırım Beyazıt Family Health Center
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Nurcan Akbas Gunes
Bolu Abant İzzet Baysal University
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Abstract

Abstract Aim: This study’s aim was to evaluate the epidemiological characteristics of COVID-19 patients and risk factors affecting mortality. Methods: This cross-sectional study included 1003 patients whose PCR (Polymerase Chain Reaction) test were positive for SARS-CoV-2 in XXX province until July 2020. Results: Of the patients evaluated, 88% were adults and 12% of them were children (<18 years old). While 24.2% of all patients, and 40.8% of the patients under the age of 18 were asymptomatic. The most common symptoms in adults were fatigue (47.9%), myalgia (44.7%), loss of smell and taste (32.4%), and the symptoms in children were fever (37.5%), fatigue (12.5%) and myalgia (11.7%). Pneumonia was observed in 35.4% of COVID-19 patients. Pneumonia was associated with advanced age, lack of BCG vaccination, presence of additional disease, hypertension, diabetes mellitus, cardiovascular, respiratory and kidney disease. Overall case-fatality rate was 2.6 percent. The mean age of the patients who died was 76.5 years. The mortality rate in patients over 65 years of age was found to be %11.5. In multivariate analysis, presence of nephrological disease, neurological disease, cardiovascular disease, cigarette exposure, dyspnea, loss of smell and taste, presence of diabetes mellitus, being over 65 years of age, number of drugs used and income status were found to be determinative factors. Conclusion: We found that the independent risk factors for COVID-19 mortality included older age, history of neurological, nephrological, or cardiovascular disease, smoking, and dyspnea symptom. In addition, we found patients with disturbed smell and taste had a better prognosis. Knowing the determinants of mortality can help clinicians to predict patients’ prognosis at an earlier stage. Keywords: COVID 19; epidemiology; pneumonia; mortality