Alpay A. AriHulya Ozkan OzdemirFatma Nur Karaman KabadurmuşSelma Yegane TosunDurmuş ÖzdemirAri, AlpayOzdemir, Hulya OzkanÖzkan Özdemir, HülyaOzdemir, DurmusTosun, SelmaKabadurmus, Fatmanur Karaman2025-10-06202314664291, 135048511350-48511466-429110.1080/13504851.2022.20823672-s2.0-85131428050https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131428050&doi=10.1080%2F13504851.2022.2082367&partnerID=40&md5=c57ca99a6ed60541a5f385194bc24258https://gcris.yasar.edu.tr/handle/123456789/8602https://doi.org/10.1080/13504851.2022.2082367This 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. © 2023 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessBinary Probit Model, Covid-19, Economic And Social Factors, Prevalence, Covid-19, Disease Prevalence, Disease Spread, Education, Mortality, Poverty, Regression Analysis, Socioeconomic Indicator, TurkeyCOVID-19, disease prevalence, disease spread, education, mortality, poverty, regression analysis, socioeconomic indicator, TurkeyEconomic and Social FactorsCOVID-19PrevalenceBinary Probit ModelArticle