Evidence map›Paper›PMID 23526970›Full record

ArticlePloS one2013

Skip the trip: air travelers' behavioral responses to pandemic influenza.

Eli P Fenichel, Nicolai V Kuminoff, Gerardo Chowell

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  10. Effects of media on preventive behaviour during the COVID-19 pandemic.Humanities & social sciences communications · 2023
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  11. COVID-19's impact on older adults' cycling behaviors in a small, auto-centric urban area.Transportation research interdisciplinary perspectives · 2022
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  12. A Thematic Review on Using Food Delivery Services during the Pandemic: Insights for the Post-COVID-19 Era.International journal of environmental research and public health · 2022
    Review
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  15. Executive orders or public fear: What caused transit ridership to drop in Chicago during COVID-19?Transportation research. Part D, Transport and environment · 2022
    Article
  16. Article
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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.

Eli P FenichelYale School of Forestry and Environmental Studies, New Haven, Connecticut, United States of America. eli.fenichel@yale.edu
Nicolai V Kuminoff
Gerardo Chowell
Arizona State University · USFogarty International Center · USYale University · US

Funding

Modeling Anthropogenic Effects in the Spread of Infectious DiseasesR01GM100471 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PERRINGS, CHARLES · 2011 to 2014
$1.5M
NIGMS NIH HHS 1R01GM100471-01NIGMS NIH HHS R01 GM100471
6 · The paper itself

Abstract

Theory suggests that human behavior has implications for disease spread. We examine the hypothesis that individuals engage in voluntary defensive behavior during an epidemic. We estimate the number of passengers missing previously purchased flights as a function of concern for swine flu or A/H1N1 influenza using 1.7 million detailed flight records, Google Trends, and the World Health Organization's FluNet data. We estimate that concern over "swine flu," as measured by Google Trends, accounted for 0.34% of missed flights during the epidemic. The Google Trends data correlates strongly with media attention, but poorly (at times negatively) with reported cases in FluNet. Passengers show no response to reported cases. Passengers skipping their purchased trips forwent at least $50 M in travel related benefits. Responding to actual cases would have cut this estimate in half. Thus, people appear to respond to an epidemic by voluntarily engaging in self-protection behavior, but this behavior may not be responsive to objective measures of risk. Clearer risk communication could substantially reduce epidemic costs. People undertaking costly risk reduction behavior, for example, forgoing nonrefundable flights, suggests they may also make less costly behavior adjustments to avoid infection. Accounting for defensive behaviors may be important for forecasting epidemics, but linking behavior with epidemics likely requires consideration of risk communication.

Indexed as

PandemicsTravelBehaviorCommunicationCosts and Cost AnalysisHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanModels, PsychologicalUnited States

Identifiers

PMID23526970
PMCPMC3604007
OpenAlexW1989583504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.