Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic

Jude Bayham, Nicolai Kuminoff, Quentin Gunn, Eli P. Fenichel

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003–2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for ‘distancing’ or nonpharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.

Original languageEnglish (US)
Article number20150814
JournalProceedings of the Royal Society B: Biological Sciences
Volume282
Issue number1818
DOIs
StatePublished - Oct 28 2015

Fingerprint

Avoidance Learning
avoidance behavior
public policy
infectious disease
Public Policy
infectious diseases
public health
Public health
Public Health
Communicable Diseases
swine influenza
health policy
disease transmission
Infectious Disease Transmission
human behavior
Psychological Adaptation
social policy
World Health Organization
Insurance Benefits
Health Policy

Keywords

  • A/H1N1
  • Avoidance behaviour
  • Social distancing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Immunology and Microbiology(all)
  • Medicine(all)

Cite this

Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic. / Bayham, Jude; Kuminoff, Nicolai; Gunn, Quentin; Fenichel, Eli P.

In: Proceedings of the Royal Society B: Biological Sciences, Vol. 282, No. 1818, 20150814, 28.10.2015.

Research output: Contribution to journalArticle

@article{c84a9dfd4bbc46a08e3d04dd02c69f27,
title = "Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic",
abstract = "Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003–2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for ‘distancing’ or nonpharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.",
keywords = "A/H1N1, Avoidance behaviour, Social distancing",
author = "Jude Bayham and Nicolai Kuminoff and Quentin Gunn and Fenichel, {Eli P.}",
year = "2015",
month = "10",
day = "28",
doi = "10.1098/rspb.2015.0814",
language = "English (US)",
volume = "282",
journal = "Philosophical Transactions of the Royal Society B: Biological Sciences",
issn = "0800-4622",
publisher = "Royal Society of London",
number = "1818",

}

TY - JOUR

T1 - Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic

AU - Bayham, Jude

AU - Kuminoff, Nicolai

AU - Gunn, Quentin

AU - Fenichel, Eli P.

PY - 2015/10/28

Y1 - 2015/10/28

N2 - Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003–2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for ‘distancing’ or nonpharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.

AB - Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003–2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for ‘distancing’ or nonpharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.

KW - A/H1N1

KW - Avoidance behaviour

KW - Social distancing

UR - http://www.scopus.com/inward/record.url?scp=84945912046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945912046&partnerID=8YFLogxK

U2 - 10.1098/rspb.2015.0814

DO - 10.1098/rspb.2015.0814

M3 - Article

C2 - 26511046

AN - SCOPUS:84945912046

VL - 282

JO - Philosophical Transactions of the Royal Society B: Biological Sciences

JF - Philosophical Transactions of the Royal Society B: Biological Sciences

SN - 0800-4622

IS - 1818

M1 - 20150814

ER -