Evidence map›Paper›PMID 37359865›Full record

ArticleFrontiers in psychology2023

A 10-year prospectus for mathematical epidemiology.

Mark Orr, Henning S Mortveit, Christian Lebiere, Pete Pirolli

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Mark OrrNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA, United States.
Henning S MortveitNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA, United States.
Christian LebiereDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States.
Pete PirolliInstitute for Human and Machine Cognition, Pensacola, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is little significant work at the intersection of mathematical and computational epidemiology and detailed psychological processes, representations, and mechanisms. This is true despite general agreement in the scientific community and the general public that human behavior in its seemingly infinite variation and heterogeneity, susceptibility to bias, context, and habit is an integral if not fundamental component of what drives the dynamics of infectious disease. The COVID-19 pandemic serves as a close and poignant reminder. We offer a 10-year prospectus of kinds that centers around an unprecedented scientific approach: the integration of detailed psychological models into rigorous mathematical and computational epidemiological frameworks in a way that pushes the boundaries of both psychological science and population models of behavior.

Indexed as

cognitive modeling of human behaviorepidemiologygraph dynamical systemsmathematical modeling and simulationpsychology

Identifiers

PMID37359865
PMCPMC10289078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.