In　practice,　it　is　well　known　that　the　environment　plays　an　essential　role　in　affecting　personal　opinions　regarding　epidemics.　In　this　paper,　we　assume　that　personal　recovery　rate　from　infected　state　varies　and　corresponding　recovery　value　is　affected　by　the　number　of　aware　and　susceptible　neighbors　while　this　is　referred　to　as　resource　for　simplicity.　A　tunable　factor,　i.e.,　α,　is　introduced　indicating　the　rate　of　resource　utilization,　while　this　parameter　is　adopted　to　characterize　the　effect　of　neighbors　to　individual＇s　recovery　rate.　For　simplicity,　the　UAU-SIS　model　is　adopted　to　study　the　spreading　phenomenon.　Later,　extensive　Monte　Carlo　simulations　are　conducted;　for　comparison,　theoretical　results　are　also　derived　through　microscopic　Markov　chain　approach.　Regardless　of　the　considered　network　topology,　we　can　easily　find　that　the　obtained　results　are　consistent　from　the　epidemic　level.　Furthermore,　the　fraction　of　infected　individuals　or　aware　individuals　seems　to　increase　with　the　increase　of　resource　utilization　rate.　This　is　incurred　by　the　fact　that　a　larger　recovery　rate　will　be　obtained　for　higher　resource　utilization　rate.　We　also　devote　our　efforts　deriving　the　epidemic　spreading　threshold　while　the　threshold　value　decreases　for　larger.　Thus,　we　can　conclude　that　the　resource　utilization　rate　plays　a　negative　role　in　eliminating　epidemics.　We　hope　the　findings　here　can　contribute　the　understanding　about　spreading　phenomenon　in　network　population　given　heterogeneous　recovery　rate.　©　2021　Elsevier　Ltd