Author: Taylor, Jared; McCann, Melinda; Chakraborty, Goutam; Krutz, Glen; Dvorak, Justin; Wendelboe, Aaron
Title: Professors and Practitioners: Assessing the Impact of COVIDâ€19 in the State of Oklahoma with and Without Residents of Longâ€Term Care Facilities Cord-id: igttm0q0 Document date: 2020_12_3
ID: igttm0q0
Snippet: OBJECTIVES: Our analysis, which began as a request from the Oklahoma Governor for useable analysis for state decision making, seeks to predict statewide COVIDâ€19 spread through a variety of lenses, including with and without longâ€term care facilities (LTCFs), accounting for rural/urban differences, and considering the impact of state government regulations of the citizenry on disease spread. METHODS: We utilize a deterministic susceptible exposed infectious resistant (SEIR) model designed to
Document: OBJECTIVES: Our analysis, which began as a request from the Oklahoma Governor for useable analysis for state decision making, seeks to predict statewide COVIDâ€19 spread through a variety of lenses, including with and without longâ€term care facilities (LTCFs), accounting for rural/urban differences, and considering the impact of state government regulations of the citizenry on disease spread. METHODS: We utilize a deterministic susceptible exposed infectious resistant (SEIR) model designed to fit observed fatalities, hospitalizations, and ICU beds for the state of Oklahoma with a particular focus on the role of the rural/urban nature of the state and the impact that COVIDâ€19 cases in LTCFs played in the outbreak. RESULTS: The model provides a reasonable fit for the observed data on new cases, deaths, and hospitalizations. Moreover, removing LTCF cases from the analysis sharpens the analysis of the population in general, showing a more gradual increase in cases at the start of the pandemic and a steeper increase when the second surge occurred. CONCLUSIONS: We anticipate that this procedure could be helpful to policymakers in other states or municipalities now and in the future.
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