Evidence map›Paper›PMID 34747698›Full record

ArticleeLife2021

Stochastic social behavior coupled to COVID-19 dynamics leads to waves, plateaus, and an endemic state.

Alexei V Tkachenko, Sergei Maslov, Tong Wang, Ahmed Elbana, George N Wong, Nigel Goldenfeld

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Heterogeneous risk tolerance, in-groups, and epidemic waves.Frontiers in applied mathematics and statistics · 2024
    Article
  4. Stabilizing the return to normal behavior in an epidemic.medRxiv : the preprint server for health sciences · 2023
    Article
  5. Article
  6. Epidemic modeling with heterogeneity and social diffusion.Journal of mathematical biology · 2023
    Article
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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

6 authors at 2 institutions in 1 country.

Alexei V TkachenkoCenter for Functional Nanomaterials, Brookhaven National Laboratory, Upton, United States.ORCID 0000-0003-1291-243X
Sergei MaslovDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, United States.ORCID 0000-0002-3701-492X
Tong WangDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, United States.
Ahmed ElbanaDepartment of Civil Engineering, University of Illinois at Urbana-Champaign, Urbana, United States.
George N WongCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, United States.
Nigel GoldenfeldUniversity of Illinois at Urbana-Champaign, Urbana, United States.
University of Illinois Urbana-Champaign · USBrookhaven National Laboratory · US

Funding

National Science Foundation 2107344University of Illinois at Urbana-Champaign University of Illinois System Office,Office of Vice-Chancellor,the Grainger College of EngineeringU.S. Department of Energy DE-SC0012704
6 · The paper itself

Abstract

It is well recognized that population heterogeneity plays an important role in the spread of epidemics. While individual variations in social activity are often assumed to be persistent, that is, constant in time, here we discuss the consequences of dynamic heterogeneity. By integrating the stochastic dynamics of social activity into traditional epidemiological models, we demonstrate the emergence of a new long timescale governing the epidemic, in broad agreement with empirical data. Our stochastic social activity model captures multiple features of real-life epidemics such as COVID-19, including prolonged plateaus and multiple waves, which are transiently suppressed due to the dynamic nature of social activity. The existence of a long timescale due to the interplay between epidemic and social dynamics provides a unifying picture of how a fast-paced epidemic typically will transition to an endemic state.

Indexed as

EpidemicsSocial BehaviorCOVID-19Epidemiological ModelsHumansSARS-CoV-2Stochastic ProcessesCOVID-19endemic stateepidemic dynamicsherd immunityheterogeneityphysics of living systemsviruses

Identifiers

PMID34747698
PMCPMC8670744
OpenAlexW3211533786

What OpenQuestion holds

Textmetadata
LicenceCC0
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.