Evidence map›Paper›PMID 33363444›Full record

ArticleProceedings. Mathematical, physical, and engineering sciences2020

Oscillatory dynamics in the dilemma of social distancing.

Alina Glaubitz, Feng Fu

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
14.2field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
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  7. Social dilemma of nonpharmaceutical interventions: Determinants of dynamic compliance and behavioral shifts.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  10. Risk, sanctions and norm change: the formation and decay of social distancing norms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  11. Article
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  13. Dynamics in a behavioral-epidemiological model for individual adherence to a nonpharmaceutical intervention.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
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  17. Individual costs and societal benefits of interventions during the COVID-19 pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

2 authors at 1 institution in 1 country.

Alina GlaubitzDepartment of Mathematics, Dartmouth College, Hanover, NH 03755, USA.ORCID 0000-0001-9609-3712
Feng FuDepartment of Mathematics, Dartmouth College, Hanover, NH 03755, USA.ORCID 0000-0001-8252-1990
Dartmouth College · US

Funding

Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI Chengxiang Qiu · 2019 to 2026
$27.2M
NIGMS NIH HHS P20 GM130454
6 · The paper itself

Abstract

Social distancing as one of the main non-pharmaceutical interventions can help slow down the spread of diseases, like in the COVID-19 pandemic. Effective social distancing, unless enforced as drastic lockdowns and mandatory cordon sanitaire, requires consistent strict collective adherence. However, it remains unknown what the determinants for the resultant compliance of social distancing and their impact on disease mitigation are. Here, we incorporate into the epidemiological process with an evolutionary game theory model that governs the evolution of social distancing behaviour. In our model, we assume an individual acts in their best interest and their decisions are driven by adaptive social learning of the real-time risk of infection in comparison with the cost of social distancing. We find interesting oscillatory dynamics of social distancing accompanied with waves of infection. Moreover, the oscillatory dynamics are dampened with a non-trivial dependence on model parameters governing decision-makings and gradually cease when the cumulative infections exceed the herd immunity. Compared to the scenario without social distancing, we quantify the degree to which social distancing mitigates the epidemic and its dependence on individuals' responsiveness and rationality in their behaviour changes. Our work offers new insights into leveraging human behaviour in support of pandemic response.

Indexed as

behavioural epidemiologydisease dynamicsevolutionary game theory

Identifiers

PMID33363444
PMCPMC7735308
OpenAlexW3107722270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.