Evidence map›Paper›PMID 36712286›Full record

ArticleInternational transactions in operational research : a journal of The International Federation of Operational Research Societies2022

Nonlinear time-series forecasts for decision support: short-term demand for ICU beds in Santiago, Chile, during the 2021 COVID-19 pandemic.

Bernardo F Quiroga, Cristián Vásquez, M Ignacia Vicuña

Abstract read
In one paragraph

Article in International transactions in operational research : a journal of The International Federation of Operational Research Societies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Bernardo F QuirogaSchool of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.ORCID https://orcid.org/0000-0002-0465-0460
Cristián VásquezSchool of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.
M Ignacia VicuñaSchool of Management Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago RM 7820436 Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Chile, due to the explosive increase of new Coronavirus disease 2019 (COVID-19) cases during the first part of 2021, the ability of health services to accommodate new incoming cases was jeopardized. It has become necessary to be able to manage intensive care unit (ICU) capacity, and for this purpose, monitoring both the evolution of new cases and the demand for ICU beds has become urgent. This paper presents short-term forecast models for the number of new cases and the number of COVID-19 patients admitted to ICUs in the Metropolitan Region in Chile.

Indexed as

COVID‐19infectious disease dynamicsmodeling biological systemstime series forecasting

Identifiers

PMID36712286
PMCPMC9874731

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.