Evidence map›Paper›PMID 40438158›Full record

ArticleFrontiers in epidemiology2025

Prediction of U.S. daily mask wearing and social distancing using psychologically valid agents during three waves of COVID-19.

Choh Man Teng, Peter Pirolli, Archna Bhatia, Kathleen Carley, Bonnie Dorr, Christian Lebiere, Brodie Mather, Konstantinos Mitsopoulos, Don Morrison, Mark Orr and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Choh Man TengFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Peter PirolliFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Archna BhatiaFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Kathleen CarleySchool of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States.
Bonnie DorrFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Christian LebiereDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States.
Brodie MatherFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Konstantinos MitsopoulosFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Don MorrisonDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States.
Mark OrrFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Tomek StrzalkowskiDepartment of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present Regional Psychologically Valid Agents (R-PVAs) as a modeling approach to predicting transmission-reducing behaviors and epidemiology. The approach builds upon computational cognitive theory and formalizes aspects of theories of individual-level behavior change. We present R-PVA models of social distancing and mask wearing in response to dynamics in the physical and information environments in the 50 U.S. states. The models achieve strong goodness-of-fits for predicting day-to-day mask-wearing (

Indexed as

ACT-Rbehaviorcognitive modelCOVID-19decision making

Identifiers

PMID40438158
PMCPMC12116573

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.