Abstract
AIM: The study aims to determine the risk factors that affect coronavirus-2019 infection in Turkey. METHOD: This descriptive study was performed between October 18, 2020, and November 18, 2020. The online link of the form created on Google forms was sent to the participants' phones. Totally 1104 individuals from different regions of Turkey participated. Logistic regression analysis was performed to detect risk factors of coronavirus-2019 infection. RESULTS: Most of the participants were women and university graduates. All participants except one wore masks, 96.8% paid attention to social distance, and 57.8% did not use public transportation. Of the participants, 9.8% (n = 108) were diagnosed with coronavirus-2019 and 41.5% (n = 458) had a coronavirus-2019-positive relative. The infection risk was higher for those who lived in the Marmara region, who went to work daily (odds ratio = 2.18; 95% CI: 1.18-4.04), who had a coronavirus-2019-positive patient where they lived (odds ratio = 3.44; 95% CI: 1.95-6.05), and who shared items with a coronavirus-2019-positive patient (odds ratio = 4.76; 95% CI: 2.64-8.58). CONCLUSION: Sharing items with a coronavirus-2019-positive patient, living in crowded regions, and going to work daily were the main risk factors of coronavirus-2019 infection in Turkish society.