Environmental　health　has　recently　become　more　and　more　important　in　the　discussion　of　international　health　issues.　Due　to　the　impact　of　haze　pollution　on　human　health,　ecological　environment　and　climate　change,　it　has　become　the　first　problem　to　be　solved　in　the　process　of　protecting　environmental　health.　PM2.5　is　the　main　cause　of　haze　pollution.　Based　on　the　observation　data　of　PM2.5　concentration　in　368　cities　in　China　from　February　to　march　in　2020,　this　paper　uses　the　statistical　model　of　spatial　data　to　reveal　the　spatial　and　temporal　pattern　distribution　of　PM2.5　in　China　during　the　period　of　severe　outbreak　and　spread　(February　3　to　March　29)　of　8　weeks　and　56　days.　The　analysis　results　show　that　1)　during　the　epidemic　period,　the　average　concentration　of　PM2.5　in　China　ranged　from　32.876　to　42.173,　which　generally　showed　a　trend　of　rapid　decrease　and　then　rebound　and　continued　decline　after　the　outbreak　of　the　epidemic.　2)　in　terms　of　space,　the　concentration　of　PM2.5　is　the　highest　in　the　central　region,　higher　in　the　north　than　in　the　south,　and　higher　in　the　eastern　bohai　rim　region　and　northern　China　than　in　the　western　qinghai-tibet　plateau　and　Himalayan　mountain　belt.　The　high-value　areas　were　mainly　distributed　in　the　north　China　plain,　the　beijing-tianjin-hebei　region,　urumqi　and　hotan　regions　of　xinjiang.　3)　the　hot　spot　analysis　shows　that　the　hot　spots　of　pollution　distribution　are　the　beijing-tianjin-hebei　region　and　the　north　China　plain.　The　cold　spots　are　the　pearl　river　delta　and　the　yunnan-guizhou　region.　4)　spatial　autocorrelation　analysis　shows　that　the　average　weekly　concentration　of　PM2.5　shows　a　strong　local　spatial　autocorrelation.　©　2020　IEEE.