The　COVID-19　epidemic　continues　to　have　a　negative　impact　on　the　economy　and　public　health.　There　is　a　correlation　between　certain　limits　(meteorological　factors　and　air　pollution　statistics)　and　verified　fatal　instances　of　Corona　Virus　Disease　2019　(COVID-19),　according　to　several　researchers.　It　has　not　yet　been　determined　how　these　elements　affect　COVID-19.　Using　air　pollution　data　and　meteorological　data　from　15　cities　in　India　from　2020　to　2022,　Convergent　Cross　Mapping　(CCM)　is　utilized　to　set　up　the　causal　link　with　new　confirmed　and　fatal　cases　of　COVID-19　in　this　study.　Our　experimental　results　show　that　the　causal　order　of　the　factors　influencing　the　diagnosis　of　COVID-19　is:　humidity,　PM25,　temperature,　CO,　NO2,　O3,　PM10.　In　contrast　to　other　parameters,　temperature,　PM25,　and　humidity　are　more　causally　associated　with　COVID-19,　while　data　on　air　pollution　are　less　causally　related　to　the　number　of　new　COVID-19　cases.　The　causal　order　of　the　factors　affecting　the　new　death　toll　is　as　follows:　temperature,　PM25,　humidity,　O3,　CO,　PM10,　NO2.　The　causality　of　temperature　with　new　COVID-19　fatalities　in　India　was　higher　than　the　causation　of　humidity　with　new　COVID-19　deaths,　and　O3　also　showed　higher　causality　with　it.　©　2023,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.