Modeling COVID-19 hospital admissions and occupancy in the Netherlands

TL;DR

This paper presents models for predicting COVID-19 hospital admissions and occupancy in the Netherlands, aiding regional transfers and policy decisions.

Contribution

It introduces specific models for COVID-19 hospital admission and occupancy prediction tailored to the Netherlands context.

Findings

Effective short-term admission forecasts

Accurate occupancy predictions

Support for regional transfer decisions

Abstract

We describe the models we built for hospital admissions and occupancy of COVID-19 patients in the Netherlands. These models were used to make short-term decisions about transfers of patients between regions and for long-term policy making. We motivate and describe the model we used for predicting admissions and how we use this to make predictions on occupancy.