Investigation on the effect of age and gender variables on SARS-CoV-2 in persons applying to a hospital in İstanbul

Objective: The study was planned based on the demographic characteristics (age and gender) of 36704 people who applied to a hospital in the Istanbul European region with the suspicion of COVID-19. Method: Nasopharyngeal and oropharyngeal swab samples were taken from people who applied to the hospital between November 2020 and March 2021, and the detection of the SARS-CoV-2 virus was made by RT-qPCR technique. The data were evaluated with chi-square analysis and SPSS 28 statistical program was used in all calculations. Using the COVID-19 data in the first, middle, and last five days of the specified months, observing the course of the pandemic in this period was desired. Results: It was found that the most COVID-19 PCR test was performed in November 2020 with 13380 (36.4%) cases and 2347 of the cases were detected as positive. It was observed that 4231 (11.5%) of the total cases (36704) were positive in all of the mentioned months. The highest number of positive cases is between the ages of 20-39 with 1995 people (47.1%). The following 1442 (34.8%) cases were reported to be between the ages of 40-59. While the distribution of COVID-19-positivepatients by age groups in November 2020 did not differ significantly between men and women, significant differences were found in December. The distribution of Covid-19 COVID-19 positive patients by age groups in 2020 and 2021 showed a significant difference. While the proportion of patients aged 0-9, 20-39, and over 60 was higher in 2020, the proportion of patients aged 10-19 and 40-59 was higher in 2021. Conclusion: The effect of age and gender factors in the pandemic triage of individuals during the pandemic period when they were exposed to the COVID-19 epidemic was investigated retrospectively. No application has been made to harm the private information of the patients. The study is thought to contribute to detecting the SARS-CoV-2 virus, detecting pandemics and epidemics, and managing treatment, especially depending on age and gender.