Evidence map›Paper›PMID 35013638›Full record

ArticleEuropean journal of operational research2023

Modeling COVID-19 hospital admissions and occupancy in the Netherlands.

René Bekker, Michiel Uit Het Broek, Ger Koole

Abstract read
In one paragraph

Article in European journal of operational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Forecasting hospital bed occupancy: a time series approach with prophet.BMC medical informatics and decision making · 2026
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  10. Projecting COVID-19 intensive care admissions for policy advice, the Netherlands, February 2020 to January 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

René BekkerLCPS - Landelijk Coördinatiecentrum Patiënten Spreiding, the Netherlands.
Michiel Uit Het BroekLCPS - Landelijk Coördinatiecentrum Patiënten Spreiding, the Netherlands.
Ger KooleLCPS - Landelijk Coördinatiecentrum Patiënten Spreiding, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the models we built for predicting hospital admissions and bed 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. For forecasting admissions we developed a new technique using linear programming. To predict occupancy we fitted residual lengths of stay and used results from queueing theory. Our models increased the accuracy of and trust in the predictions and helped manage the pandemic, minimizing the impact in terms of beds and maximizing remaining capacity for other types of care.

Indexed as

Bed occupancy levelsCOVID-19 hospital admissionsOR in health servicesPrediction

Identifiers

PMID35013638
PMCPMC8730382

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.