A mathematical model for the dynamics of COVID-19 pandemic involving the infective immigrants

‎ Since the first outbreak in Wuhan, China, December 31, 2019, COVID-19 pandemic ‎has been spreading to many countries world. The ongoing has caused a ‎major global crisis, with 554,767 total confirmed cases, 484,570 recovered and ‎‎12,306 deaths Iraq as of February 2, 2020. In absence any effective therapeutics or drugs ‎and an unknown epidemiological life cycle, predictive mathematical models can aid ‎the understanding both control management coronavirus disease. Among important ‎factors that helped rapid spread epidemic are immigration, travelers, foreign workers, students. this work, we develop model study dynamical ‎behavior pandemic, involving immigrants' effects possibility re-infection. ‎Firstly, studied positivity roundedness solution proposed model. stability ‎results at disease-free equilibrium point were presented when . Further, it was proven will persist uniformly Moreover, ‎confirmed occurrence local bifurcation (saddle-node, pitchfork, transcritical). Finally, ‎theoretical analysis numerical results shown be consistent.