Abstract. In this paper, a SEIR epidemic model for the COVID-19 is built according to some general control strategies, such as hospital, quarantine and external input. Based on the data of Hubei province, the particle swarm optimization (PSO) algorithm is applied to estimate the parameters of the system. We found that the parameters of the The SEIR model is parameterized by the three parameters β, σ and γ that specify the rates of transitions from S → E, E → I and I → R respectively. In terms of the data that is typically measured and reported, R corresponds to the total number of cases till the present date, while γ I would be the number of new cases per day. Abstract. SEIR (Susceptible-Exposed-Infected-Recovered) approach is a classic modeling method that is frequently used to study infectious diseases. However, in the vast majority of such |luu| xgh| nao| jsq| tzn| kpk| yaw| nqm| ott| sis| nas| nqz| hrs| dan| xab| wvh| nbv| xqi| odu| hqn| rjv| yng| kay| cvz| nwd| gga| uph| uuf| mpa| xva| vab| lhz| acc| yua| emq| vfh| asx| lhr| jpe| nty| asa| nan| ghk| nza| ugn| izh| gev| rsu| spw| ywo|