Evidence map›Paper›PMID 39610788›Full record

ArticleFrontiers in epidemiology2024

Using a computational cognitive model to simulate the effects of personal and social network experiences on seasonal influenza vaccination decisions.

Matthew M Walsh, Andrew M Parker, Raffaele Vardavas, Sarah A Nowak, David P Kennedy, Courtney A Gidengil

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Matthew M WalshRAND Corporation, Pittsburgh, PA, United States.
Andrew M ParkerRAND Corporation, Pittsburgh, PA, United States.
Raffaele VardavasRAND Corporation, Santa Monica, CA, United States.
Sarah A NowakRAND Corporation, Santa Monica, CA, United States.
David P KennedyRAND Corporation, Santa Monica, CA, United States.
Courtney A GidengilRAND Corporation, Boston, MA, United States.

Funding

Modeling the Coupled Dynamics of COVID-19 Transmission and Protective BehaviorsR01AI160240 · NIAID · RAND CORPORATION · PI PARKER, ANDREW · 2021 to 2025
$2.8M
Modeling the Coupled Dynamics of Influenza Transmission and Vaccination BehaviorR01AI118705 · NIAID · RAND CORPORATION · PI PARKER, ANDREW, VARDAVAS, RAFFAELE · 2016 to 2020
$2.1M
NIAID NIH HHS R01 AI118705NIAID NIH HHS R01 AI160240
6 · The paper itself

Abstract

Introduction: Seasonal influenza poses significant societal costs, including illness, mortality, and reduced work productivity. Vaccination remains the most effective strategy for preventing the disease, yet vaccination rates in the United States fall below 50% for adults. Understanding the factors influencing vaccination decisions is crucial for designing interventions to improve uptake. This study investigates how personal experiences and the experiences of social contacts affect individual decisions to get vaccinated against influenza. Methods: A multi-year longitudinal survey study was conducted to examine the impact of personal and social network experiences on vaccination decisions. Participants' vaccination behaviors and experiences with influenza were tracked over time. To model these influences, we developed a memory-based vaccination decision model using the Adaptive Control of Thought - Rational (ACT-R) integrated cognitive architecture, which incorporates cognitive processes associated with memory and decision-making. Results: The survey results demonstrated that both personal experiences with influenza and the experiences of close social contacts significantly influenced vaccination decisions. The memory-based model, built within the ACT-R framework, effectively captured these effects, providing a computational representation of how personal and social factors contribute to vaccination behaviors. Discussion: The findings suggest that personal and social experiences play a critical role in shaping vaccination decisions, which can inform the development of targeted interventions to increase vaccination uptake. By incorporating cognitive processes into the model, we identified potential strategies to enhance vaccine promotion efforts, such as recalling past experiences with illness to motivate individuals to get vaccinated.

Indexed as

ACT-Rcognitive modelpublic healthseasonal influenzavaccination

Identifiers

PMID39610788
PMCPMC11603355

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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.