MATHEMATICAL MODELING FOR IMPACT OF TRANSPORTATION IN COVID-19, REPORT CASE IN TEHRAN, IRAN
محورهای موضوعی : مجله بین المللی ریاضیات صنعتیNasrin Eghbali 1 , Hosein Taheri 2 , Masoomeh Pourabd 3 , Ahmad Almasi 4
1 - Department of Mathematics with Application, Faculty of Siences, University of
2 - Department of Mathematics with Application, Faculty of Siences, University of
3 - University of Mazandaran
4 - Department of Civil Engineering, Imam Khomeini International University, Qazvin, Iran.
کلید واژه: Coronavirus pandemic globally, COVID-19 coronavirus, Mathematicalmodeling of infection disease, SEIRUS-model, Parameter identification, COVID-19 transmission dynamics in Iran, Early diagnostic interventions.,
چکیده مقاله :
In this paper, we investigate a model for the COVID-19 corona virus for Impact of transportation in Tehran. We introduce simple compartmental, Kermack McKendrick type epidemic models with homogeneously and heterogeneously mixed populations, an endemic model for assessing the potential population level impact of a hypothetical COVID-19 for Impact of transportation.
In this paper, we investigate a model for the COVID-19 corona virus for Impact of transportation in Tehran. We introduce simple compartmental, Kermack McKendrick type epidemic models with homogeneously and heterogeneously mixed populations, an endemic model for assessing the potential population level impact of a hypothetical COVID-19 for Impact of transportation.
