Background, In this paper, the SEIR dynamic model will be used to model the epidemic of coronvirus (2019-nCoV)disease. The SEIR model has been used to model infectious diseases in Malaysia.Then, the spread and control of the disease is simulated applying a PID controller. The results of this study show that the implementation of strict restrictions such as quarantine, social distancing and closure of gathering centers is effective in controlling the disease. Using the results and analyzing them, it was found that early and strict implementation of strict restrictions such as quarantine, social distance and closure of centers with a high percentage of community is very important to control this disease and prevent irreparable economic losses and depreciation of medical staff.Objective: Modeling the prevalence and control of corona-virus (2019-nCoV)and the impact of government actions using control engineering methods. Method:In this study, the SEIR dynamic model was used and the common data on the prevalence of the virus in Wuhan, China and Malaysia were used. As an example, the use of control target schemes is simulated in this paper. Results:The findings of this study use control methods and forecasting in control engineering to provide a clear picture of macro-decisions for different governments in the field of infectious diseases. Conclusion:Management and control schemes such as travel restrictions, quarantine, social distance and closure of offices, higher education institutions must be implemented immediately to prevent major economic and social losses. The implementation of these restrictions should not be delayed during the outbreak of corona-virus(2019-nCoV) infectious diseases.

In this paper, drug treatment and vaccination are compared healthy and economically. In this comparison, in addition to comparing economic costs, it has paid attention to patients' recovery. To reach the goal, the prevalence of Covid-19 virus in New York is modeled by using the SEIR dynamic model. The SEIR dynamic model is used to model the period of epidemic diseases. Then, three disease control scenarios are evaluated economically. Treatment and vaccination are two important issues in controlling epidemic diseases. To control the disease, each of these two methods has economic costs and benefits. The main purpose of this paper is to compare the two methods of vaccination and treatment economically. Although the results of the study show that vaccination can be effective in preventing the epidemic of the disease than treatment, but due to the high cost and genetic mutation of the virus, vaccination is not the optimal method for both health and the economy in the long term.