Evidence map›Paper›PMID 35135355›Full record

ArticleProceedings. Biological sciences2022

Overlapping timescales obscure early warning signals of the second COVID-19 wave.

Fabian Dablander, Hans Heesterbeek, Denny Borsboom, John M Drake

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Fabian DablanderDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2650-6491
Hans HeesterbeekDepartment of Population Health Sciences, Utrecht University, Utrecht, The Netherlands.
Denny BorsboomDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.
John M DrakeOdum School of Ecology, University of Georgia, Athens, GA, USA.ORCID 0000-0003-4646-1235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early warning indicators based on critical slowing down have been suggested as a model-independent and low-cost tool to anticipate the (re)emergence of infectious diseases. We studied whether such indicators could reliably have anticipated the second COVID-19 wave in European countries. Contrary to theoretical predictions, we found that characteristic early warning indicators generally

Indexed as

Communicable DiseasesCOVID-19EuropeHumansSARS-CoV-2COVID-19critical slowing downearly warning signalstimescale separation

Identifiers

PMID35135355
PMCPMC8825995

What OpenQuestion holds

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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.