Evidence map›Paper›PMID 34226646›Full record

ArticleScientific reports2021

Critical fluctuations in epidemic models explain COVID-19 post-lockdown dynamics.

Maíra Aguiar, Joseba Bidaurrazaga Van-Dierdonck, Javier Mar, Nicole Cusimano, Damián Knopoff, Vizda Anam, Nico Stollenwerk

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mechanics of pandemics.EClinicalMedicine · 2026
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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

7 authors.

Maíra AguiarBasque Center for Applied Mathematics (BCAM), Alameda Mazarredo, 14, 48009, Bilbao, Spain. maguiar@bcamath.org.
Joseba Bidaurrazaga Van-DierdonckPublic Health, Basque Health Department, Rekalde Zumarkalea 39A, 48008, Bilbao, Spain.
Javier MarOsakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Nicole CusimanoBasque Center for Applied Mathematics (BCAM), Alameda Mazarredo, 14, 48009, Bilbao, Spain.
Damián KnopoffBasque Center for Applied Mathematics (BCAM), Alameda Mazarredo, 14, 48009, Bilbao, Spain.
Vizda AnamBasque Center for Applied Mathematics (BCAM), Alameda Mazarredo, 14, 48009, Bilbao, Spain.
Nico StollenwerkBasque Center for Applied Mathematics (BCAM), Alameda Mazarredo, 14, 48009, Bilbao, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. The momentary reproduction ratio r(t) of an epidemic is used as a public health guiding tool to evaluate the course of the epidemic, with the evolution of r(t) being the reasoning behind tightening and relaxing control measures over time. Here we investigate critical fluctuations around the epidemiological threshold, resembling new waves, even when the community disease transmission rate [Formula: see text] is not significantly changing. Without loss of generality, we use simple models that can be treated analytically and results are applied to more complex models describing COVID-19 epidemics. Our analysis shows that, rather than the supercritical regime (infectivity larger than a critical value, [Formula: see text]) leading to new exponential growth of infection, the subcritical regime (infectivity smaller than a critical value, [Formula: see text]) with small import is able to explain the dynamic behaviour of COVID-19 spreading after a lockdown lifting, with [Formula: see text] hovering around its threshold value.

Indexed as

Models, BiologicalModels, TheoreticalBasic Reproduction NumberCommunicable Disease ControlComputer SimulationCOVID-19EpidemicsHumansPublic HealthSARS-CoV-2

Identifiers

PMID34226646
PMCPMC8257671

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.