Evidence map›Paper›PMID 22563796›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2012

Deriving behavior model parameters from survey data: self-protective behavior adoption during the 2009-2010 influenza A(H1N1) pandemic.

David P Durham, Elizabeth A Casman, Steven M Albert

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 18% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Chaos in Opinion-Driven Disease Dynamics.Entropy (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. A Precautionary Tale: Individual Decision Making in the Time of COVID-19.International journal of environmental research and public health · 2023
    Article
  8. Article
  9. Attitudes towards social distancing in response to COVID-19.Public health nursing (Boston, Mass.) · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. The Adoption of Preventive Behaviors during the COVID-19 Pandemic in China and Israel.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
  16. Behavior Model Calibration for Epidemic Simulations.Proceedings of the ... International Joint Conference on Autonomous Agents and Multiagent Systems : AAMAS. International Joint Conference on Autonomous Agents and Multiagent Systems · 2018
    Article
  17. Article
  18. Review
  19. Article
  20. 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

3 authors at 3 institutions in 1 country.

David P DurhamSchool of Public Health, Yale University, New Haven, CT, USA. ddurham@alumni.cmu.edu
Elizabeth A Casman
Steven M Albert
Carnegie Mellon University · USUniversity of Pittsburgh · USYale University · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERTS, MARK STENIUS · 2009 to 2018
$16.7M
NIGMS NIH HHS U54 GM088491NIGMS NIH HHS U54GM088491OPHPR CDC HHS P01 TP000304
6 · The paper itself

Abstract

In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present the results of a public opinion and behavior survey conducted during the 2009-2010 H1N1 influenza pandemic. The results are used to parameterize the Health Belief Model of individual health-protective decision making. Survey subjects were asked questions about their perceptions of the then-circulating influenza and attitudes towards two personal protective behaviors: vaccination and avoidance of crowds. We empirically address two important issues in applying the Health Belief Model of behavior to computational infectious disease simulation: (1) the factors dynamically influencing the states of the Health Belief Model variables and (2) the appropriateness of the Health Belief Model in describing self-protective behavior in the context of pandemic influenza.

Indexed as

Disease OutbreaksHealth BehaviorModels, TheoreticalAdultAgedData CollectionHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMiddle Aged

Identifiers

PMID22563796
PMCPMC3755610
OpenAlexW1595024401

What OpenQuestion holds

Textmetadata
LicenceTDM
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.