Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy.

ABSTRACT:

Study objectives

This study evaluates the feasibility and accuracy of a pragmatic approach to predicting hospital bed occupancy for COVID-19-positive patients, using only simple methods accessible to typical health system teams.

Methods

We used an observational forecasting design for the study period 1st June 2021 to -21st January 2022. Evaluation data covered individuals registered with a general practitioner in North West London, through the Whole Systems Integrated Care deidentified dataset. We extracted data on COVID-19-positive tests, vaccination records and admissions to hospitals with confirmed COVID-19 within the study period. We used linear regression models to predict bed occupancy, using lagged, smoothed numbers of COVID-19 cases among unvaccinated individuals in

SUBMITTER: Lovett D 

PROVIDER: S-EPMC11800226 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature