Alpay AriHulya Ozkan OzdemirFatmanur Karaman KabadurmusSelma TosunDurmus Ozdemir2025-10-0620231350-48511466-429110.1080/13504851.2022.2082367http://dx.doi.org/10.1080/13504851.2022.2082367https://gcris.yasar.edu.tr/handle/123456789/6926This paper clarifies the medical and socio-economic factors affecting the prevalence of COVID-19 by using clinical and survey data in a binary probit model. Socio-economic factors are associated with risk of infection and can increase exposure to and mortality from COVID-19. Inequalities in socio-economic variables affect the prevalence to different degrees. Disparities in education and poverty are more important than being employed or being a smoker for the spread of COVID-19 we find evidence that confirms the hypothesis.EnglishCOVID-19, economic and social factors, prevalence, binary probit modelArticle