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In this study, an extended Susceptible-Infected Healed (SIR) model based on System Dynamics was designed, considering the factors affecting the rate of spread of the COVID-19 pandemic. The model predicts how long it will take to reach 70% herd immunity based on the number of vaccines administered. The designed simulation model is modeled in AnyLogic 8.7.2 program. The model was performed for three different vaccine supply scenarios and for Turkey with ~83\u2009million population. The results show that, with a monthly supply of 15\u2009million vaccines, social immunity reached the target value of 70% in 161\u2009days, while this number was 117\u2009days for 30\u2009million vaccines and 98\u2009days for 40\u2009million vaccines.<\/jats:p>","DOI":"10.1177\/00375497221120018","type":"journal-article","created":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T02:40:37Z","timestamp":1662518437000},"page":"127-135","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["A simulation approach for COVID-19 pandemic assessment based on vaccine logistics, SARS-CoV-2 variants, and spread rate"],"prefix":"10.1177","volume":"99","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9551-2679","authenticated-orcid":false,"given":"Burak","family":"Erkayman","sequence":"first","affiliation":[{"name":"Industrial Engineering, Ataturk University, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ferhat","family":"Ak","sequence":"additional","affiliation":[{"name":"Industrial Engineering, Ataturk University, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8161-4199","authenticated-orcid":false,"given":"Sadrettin","family":"\u00c7odur","sequence":"additional","affiliation":[{"name":"Arakli Ali Cevat Ozyurt Vocational School, Karadeniz Technical University, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,9,6]]},"reference":[{"key":"bibr1-00375497221120018","doi-asserted-by":"publisher","DOI":"10.1080\/10408363.2020.1783198"},{"key":"bibr2-00375497221120018","doi-asserted-by":"publisher","DOI":"10.1080\/07391102.2020.1817787"},{"key":"bibr3-00375497221120018","unstructured":"WHO Coronavirus (COVID-19) dashboard, 10 February 2022, https:\/\/covid19.who.int\/"},{"key":"bibr4-00375497221120018","doi-asserted-by":"publisher","DOI":"10.1177\/00375497221078947"},{"key":"bibr5-00375497221120018","doi-asserted-by":"publisher","DOI":"10.1007\/s10668-020-00801-2"},{"key":"bibr6-00375497221120018","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.19759"},{"key":"bibr7-00375497221120018","unstructured":"Zimmer C, Corum J, Wee SL, et al. 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