During　the　outbreak　of　major　emerging　infectious　diseases,　virus　droplets　can　survive　in　the　environment　as　aerosols　for　hours　to　days,　and　their　impact　on　human　infectious　diseases　is　often　overlooked.　In　addition,　the　speed　of　transmission　of　infectious　diseases　is　often　closely　related　to　transportation.　Therefore,　studying　the　impact　of　environmental　viruses　and　transportation　on　disease　development　is　significant　for　effective　infectious　disease　prevention　and　control.　We　proposed　a　degenerate　reaction-diffusion　infectious　disease　model　(SEAIR)　considering　environmental　virus　interference　and　established　a　well-posedness　and　threshold　system　for　this　model.　We　have　obtained　the　system　solution　approaches　the　disease-free　equilibrium　(E-0)　when　the　basic　reproduction　number　R-0　＜=　1.　The　system　has　at　least　one　positive　steady　state　solution　(PSS)　when　R-0　＞　1.　This　paper　used　a　non-standard　finite　difference　method　discretization　model　while　data　fitting　and　parameter　estimation　were　performed　based　on　data　provided　by　the　Health　Commission.　Further　sensitivity　analysis　was　conducted　on　R-0.　At　the　same　time,　we　also　discussed　the　impact　of　various　parameters　in　the　early　stages　of　the　outbreak　of　major　emerging　infectious　diseases　on　the　development　of　the　disease.　Research　found　that　even　if　the　contact　rate　between　people　is　controlled　at　a　shallow　level,　the　disease　may　persist.　In　the　early　stages　of　major　emerging　outbreak　of　infectious　diseases,　immediately　reducing　the　use　of　transportation　can　effectively　reduce　the　speed　of　disease　spread.