Fever　visit　management　(FVM)　played　a　critical　role　in　reducing　the　risk　of　local　outbreaks　caused　by　positive　cases　during　the　coronavirus　disease　2019　(COVID-19)　pandemic　under　the　dynamic　zero-COVID-19　policy.　Fever　clinics　were　established　to　satisfy　the　healthcare　needs　of　citizens　with　fever　symptoms,　including　those　with　and　without　COVID-19.　Learning　how　FVM　affects　fever　medical　care　accessibility　for　citizens　in　different　places　can　support　decision　making　in　establishing　fever　clinics　more　equitably.　However,　the　dynamic　nature　of　the　population　at　different　times　has　rarely　been　considered　in　evaluating　healthcare　facility　accessibility.　To　fill　this　gap,　we　adjusted　the　Gaussian-based　two-step　floating　catchment　area　method　(G2SFCA)　by　considering　the　hourly　dynamics　of　the　population　distribution　derived　from　mobile　phone　location　data.　The　results　generated　from　Xining　city,　China,　showed　that　(1)　the　accessibility　of　fever　clinics　explicitly　exhibited　spatial　distribution　patterns,　being　high　in　the　center　and　low　in　surrounding　areas;　(2)　the　accessibility　reduction　in　suburban　areas　caused　by　FVM　was　approximately　2.8　times　greater　than　that　in　the　central　city　for　the　15　min　drive　conditions;　and　(3)　the　accessibility　of　fever　clinics　based　on　the　nighttime　anchor　point　was　overestimated　in　central　areas,　but　underestimated　in　suburban　areas.　©　2025　by　the　authors.