Evidence map›Paper›PMID 35733262›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Understanding the coevolution of mask wearing and epidemics: A network perspective.

Zirou Qiu, Baltazar Espinoza, Vitor V Vasconcelos, Chen Chen, Sara M Constantino, Stefani A Crabtree, Luojun Yang, Anil Vullikanti, Jiangzhuo Chen, Jörgen Weibull and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. 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
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Paradoxes in the coevolution of contagions and institutions.Proceedings. Biological sciences · 2024
    Article
  9. 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
    Article
  10. 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
  11. Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Sociocultural determinants of global mask-wearing behavior.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. 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

14 authors.

Zirou QiuDepartment of Computer Science, University of Virginia, Charlottesville, VA 22904.
Baltazar EspinozaNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.
Vitor V VasconcelosInformatics Institute, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.
Chen ChenNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.
Sara M ConstantinoAndlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08540.ORCID 0000-0001-5533-5885
Stefani A CrabtreeDepartment of Environment and Society, Utah State University, Logan, UT 84322.ORCID 0000-0001-8585-8943
Luojun YangDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540.ORCID 0000-0001-9293-2670
Anil VullikantiDepartment of Computer Science, University of Virginia, Charlottesville, VA 22904.
Jiangzhuo ChenNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.
Jörgen WeibullDepartment of Economics, Stockholm School of Economics, SE-113 83 Stockholm, Sweden.ORCID 0000-0003-0817-0285
Kaushik BasuDepartment of Economics, Cornell University, Ithaca, NY 14853.
Avinash DixitDepartment of Economics, Princeton University, Princeton, NJ 08544.ORCID 0000-0002-8929-7503
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540.ORCID 0000-0002-8216-5639
Madhav V MaratheDepartment of Computer Science, University of Virginia, Charlottesville, VA 22904.ORCID 0000-0003-1653-0658

Funding

Systems Analysis of Social Pathways of Epidemics to Reduce Health DisparitiesR01GM109718 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARATHE, ACHLA, VULLIKANTI, ANIL · 2014 to 2022
$3.6M
HHS | Centers for Disease Control and Prevention (CDC) 75D30119C05935HHS | National Institutes of Health (NIH) 1R01GM109718NIGMS NIH HHS R01 GM109718
6 · The paper itself

Abstract

Nonpharmaceutical interventions (NPIs) such as mask wearing can be effective in mitigating the spread of infectious diseases. Therefore, understanding the behavioral dynamics of NPIs is critical for characterizing the dynamics of disease spread. Nevertheless, standard infection models tend to focus only on disease states, overlooking the dynamics of "beneficial contagions," e.g., compliance with NPIs. In this work, we investigate the concurrent spread of disease and mask-wearing behavior over multiplex networks. Our proposed framework captures both the competing and complementary relationships between the dueling contagion processes. Further, the model accounts for various behavioral mechanisms that influence mask wearing, such as peer pressure and fear of infection. Our results reveal that under the coupled disease-behavior dynamics, the attack rate of a disease-as a function of transition probability-exhibits a critical transition. Specifically, as the transmission probability exceeds a critical threshold, the attack rate decreases abruptly due to sustained mask-wearing responses. We empirically explore the causes of the critical transition and demonstrate the robustness of the observed phenomena. Our results highlight that without proper enforcement of NPIs, reductions in the disease transmission probability via other interventions may not be sufficient to reduce the final epidemic size.

Indexed as

EpidemicsMasksHumansepidemiologyindividual behaviormultilayer networksphase transitionssocial and behavioral contagions

Identifiers

PMID35733262
PMCPMC9245665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.