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Skip the Trip: Air Travelers' Behavioral Responses to Pandemic Influenza

Overview of attention for article published in PLOS ONE, March 2013
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Title
Skip the Trip: Air Travelers' Behavioral Responses to Pandemic Influenza
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058249
Pubmed ID
Authors

Eli P. Fenichel, Nicolai V. Kuminoff, Gerardo Chowell

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.

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Geographical breakdown

Country Count As %
Denmark 1 <1%
Germany 1 <1%
Vietnam 1 <1%
Unknown 132 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Student > Master 20 15%
Researcher 18 13%
Student > Bachelor 11 8%
Professor > Associate Professor 9 7%
Other 18 13%
Unknown 35 26%
Readers by discipline Count As %
Business, Management and Accounting 22 16%
Engineering 13 10%
Agricultural and Biological Sciences 11 8%
Social Sciences 11 8%
Medicine and Dentistry 9 7%
Other 28 21%
Unknown 41 30%