This　paper　first　establishes　a　clustering　algorithm　to　cluster　the　data　in　the　attachment,　dividing　the　data　into　three　categories,　and　determines　the　infection　rate　and　transmission　time　of　each　virus.　On　this　basis,　the　cities　in　four　regions　are　selected　for　analysis,　and　a　multiple　regression　fitting　model　is　established　to　determine　their　corresponding　transmission　in　different　stages　and　regions.　In　order　to　better　analyze,　this　paper　takes　Aberdeen　City　as　an　example.　According　to　the　data　corresponding　to　the　original　three　viruses,　a　grey　correlation　model　is　established　to　analyze　the　data.　Finally,　according　to　the　number　of　confirmed　cases　of　Omicron　virus　transmission,　this　paper　estimates　the　duration　of　Omicron　virus　transmission　by　establishing　a　neural　network　prediction　model.　©　2022　IEEE.