Evidence map›Paper›PMID 37126702›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

The impact of threshold decision mechanisms of collective behavior on disease spread.

Bryce Morsky, Felicia Magpantay, Troy Day, Erol Akçay

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. 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
  10. Paradoxes in the coevolution of contagions and institutions.Proceedings. Biological sciences · 2024
    Article
  11. 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
  12. The impact of threshold decision mechanisms of collective behavior on disease spread.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

4 authors.

Bryce MorskyDepartment of Mathematics, Florida State University, Tallahassee, FL 32306.ORCID 0000-0003-3608-1634
Felicia MagpantayDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-1064-0357
Troy DayDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
Erol AkçayDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8149-7124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are a hyper-social species, which greatly impacts the spread of infectious diseases. How do social dynamics impact epidemiology and what are the implications for public health policy? Here, we develop a model of disease transmission that incorporates social dynamics and a behavior that reduces the spread of disease, a voluntary nonpharmaceutical intervention (NPI). We use a "tipping-point" dynamic, previously used in the sociological literature, where individuals adopt a behavior given a sufficient prevalence of the behavior in the population. The thresholds at which individuals adopt the NPI behavior are modulated by the perceived risk of infection, i.e., the disease prevalence and transmission rate, costs to adopt the NPI behavior, and the behavior of others. Social conformity creates a type of "stickiness" whereby individuals are resistant to changing their behavior due to the population's inertia. In this model, we observe a nonmonotonicity in the attack rate as a function of various biological and social parameters such as the transmission rate, efficacy of the NPI, costs of the NPI, weight of social consequences of shirking the social norm, and the degree of heterogeneity in the population. We also observe that the attack rate can be highly sensitive to these parameters due to abrupt shifts in the collective behavior of the population. These results highlight the complex interplay between the dynamics of epidemics and norm-driven collective behaviors.

Indexed as

EpidemicsMass BehaviorHumansSocial Conformityepidemiologynonpharmaceutical interventionspublic healthsocial behaviortipping-point

Identifiers

PMID37126702
PMCPMC10175758

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.