The　Omicron　variant　of　SARS-CoV-2,　emerging　in　November　2021,　has　rapidly　spread　worldwide　due　to　its　high　transmissibility　and　ability　to　evade　vaccines.　It　is　still　not　fully　under　control,　and　there　is　a　need　to　enhance　our　scientific　understanding　of　the　Omicron　variant.　Investigating　the　influencing　factors　and　the　correlated　characteristics　of　the　transmission　of　the　Omicron　variant　remains　an　important　issue　in　COVID-19　prevention　and　control.　This　study　utilized　data　from　various　sources　to　investigate　Omicron’s　transmission　factors.　Focusing　on　populous　countries　like　China,　France,　and　the　US,　a　multiple　regression　model　was　optimized　through　the　Gauss-Newton　method　to　reveal　links　between　daily　Omicron　cases　and　variables　like　climate,　population,　healthcare,　and　vaccination　and　etc.　Results　showed　vaccination　rates,　healthcare　facility　numbers,　and　population　density　as　pivotal　factors　influencing　transmission.　Higher　vaccination　rates　and　more　healthcare　facilities　correlated　with　lower　Omicron　transmission,　while　dense　population　areas　experienced　higher　spread.　These　findings　hold　significance　for　guiding　public　health　decisions　and　shaping　vaccination　strategies　amidst　the　Omicron　variant’s　ongoing　impact.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd　2023.