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Health Care Management Science

, Volume 18, Issue 3, pp 318–333 | Cite as

Effect of individual protective behaviors on influenza transmission: an agent-based model

  • Elnaz Karimi
  • Ketra Schmitt
  • Ali Akgunduz
Article

Abstract

It is well established in the epidemiological literature that individual behaviors have a significant effect on the spread of infectious diseases. Agent-based models are increasingly being recognized as the next generation of epidemiological models. In this research, we use the ability of agent-based models to incorporate behavior into simulations by examining the relative importance of vaccination and social distancing, two common measures for controlling the spread of infectious diseases, with respect to seasonal influenza. We modeled health behaviour using the result of a Health Belief Model study focused on influenza. We considered a control and a treatment group to explore the effect of education on people's health-related behaviors patterns. The control group reflects the behavioral patterns of students based on their general knowledge of influenza and its interventions while the treatment group illustrates the level of behavioral changes after individuals have been educated by a health care expert. The results of this study indicate that self-initiated behaviors are successful in controlling an outbreak in a high contact rate location such as a university. Self-initiated behaviors resulted in a population attack rate decrease of 17 % and a 25 % reduction in the peak number of cases. The simulation also provides significant evidence for the effect of an HBM theory-based educational program to increase the rate of applying the target interventions (vaccination by 22 % percent and social distancing by 41 %) and consequently to control the outbreak.

Keywords

Influenza Agent-based simulation Health belief model Individual behavior Effectiveness 

References

  1. 1.
    Bell DM (2006) Non-pharmaceutical interventions for pandemic influenza, international measures. Emerging infectious diseases 12(1):81–87CrossRefGoogle Scholar
  2. 2.
    Molinari NA, Ortega-Sanchez IR, Messonnier ML, Thompson WW, Wortley PM, Weintraub E, Bridges CB (2007) The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine 25(27):5086–5096CrossRefGoogle Scholar
  3. 3.
    Thompson WW, Shay DK, Weintraub E, Brammer L, Bridges CB, Cox NJ, Fukuda K (2004) Influenza-associated hospitalizations in the United States. the journal of the. American Medical Association 292(11):1333–1340CrossRefGoogle Scholar
  4. 4.
    Thompson WW, Shay DK, Weintraub E, Brammer L, Cox N, Anderson LJ, Fukuda K (2003) Mortality associated with influenza and respiratory syncytial virus in the United States. The journal of the American Medical Association 289(2):179–186CrossRefGoogle Scholar
  5. 5.
    Heymann A, Chodick G, Reichman B, Kokia E, Laufer J (2004) Influence of school closure on the incidence of viral respiratory diseases among children and on health care utilization. The Pediatric Infectious Disease Journal 675–677Google Scholar
  6. 6.
    Barry, J. (2005). The great influenza: The story of the deadliest pandemic in history. PenguinGoogle Scholar
  7. 7.
    Durham DP, Casman EA (2012) Incorporating individual health-protective decisions into disease transmission models: a mathematical framework. Journal of The Royal Society Interface 9(68):562–570CrossRefGoogle Scholar
  8. 8.
    Yang Y, Atkinson P (2008) Individual space-time activity-based model: a model forthe simulation of airborne infectious-disease transmission by activity-bundle simulation. Environment and Planning B, Planning and Design, pp 80–99Google Scholar
  9. 9.
    Dalton CB, Durrheim DN, Conroy MA (2008) Likely impact of school and childcare closures on public health workforce during an influenza pandemic: a survey. Commun Dis Intell 32(2):261–262Google Scholar
  10. 10.
    King JC Jr, Stoddard JJ, Gaglani MJ, Moore KA, Magder L, McClure E, Neuzil K (2006) Effectiveness of school-based influenza vaccination. New England Journal of Medicine 355(24):2523–2532CrossRefGoogle Scholar
  11. 11.
    Hilyer, B., Veasey, A., Oldfield, K., & Craft-McCormick, L. (1999). Effective safety and health training. CRC PressGoogle Scholar
  12. 12.
    Janz NK, Becker MH (1984) The health belief model: A decade later. Health Education & Behavior 11(1):1–47CrossRefGoogle Scholar
  13. 13.
    Coe AB, Gatewood SB, Moczygemba LR (2012) The use of the health belief model to assess predictors of intent to receive the novel (2009) H1N1 influenza vaccine. Innovations in pharmacy 3(2):1Google Scholar
  14. 14.
    Lau J, Nelson TF, Yeunga CY, Choia KC, Chenga Mabel YM, Tsuia G (2010) Factors in association with acceptability of A/H1N1 vaccination during the influenza A/H1N1 pandemic phase in the Hong Kong general population. Vaccine 28:4632–4637CrossRefGoogle Scholar
  15. 15.
    Maurer J, Uscher-Pines L, Harris KM (2010) Awareness of government seasonal and 2009 H1N1 influenza vaccination recommendations among targeted US adults: The role of provider interactions. American journal of infection control 38(6):489–490CrossRefGoogle Scholar
  16. 16.
    Painter JE et al (2010) Development, theoretical framework, and lessons learned from implementation of a school-based influenza vaccination intervention. Health promotion practice 11.3(suppl):42S–52SCrossRefGoogle Scholar
  17. 17.
    Durham DP, Casman EA, Albert SM (2012) Deriving behavior model parameters from survey data: self‐protective behavior adoption during the 2009–2010 influenza a (H1N1) pandemic. Risk Analysis 32(12):2020–2031CrossRefGoogle Scholar
  18. 18.
    Elveback LR, Fox JP, Ackerman E, Langworthy A, Boyd M, Gatewood L (1976) An influenza simulation model for immunization studies. American Journal of Epidemiology 103(2):152–165Google Scholar
  19. 19.
    Halloran ME, Ferguson NM, Eubank S, Longini IM (2008) Modeling targeted layered containment of an influenza pandemic in the United States. PNAS 105–12:4639–44CrossRefGoogle Scholar
  20. 20.
    Haber MJ, Shay DK, Davis XM, Patel R, Jin X, Weintraub E, Thompson WW (2007) Effectiveness of interventions to reduce contact rates during a simulated influenza pandemic. Emerging infectious diseases 13(4):581CrossRefGoogle Scholar
  21. 21.
    Das TK, Savachkin AA, Zhu Y (2008) A large-scale simulation model of pandemic influenza outbreaks for development of dynamic mitigation strategies. IIE Transactions 40(9):893–905CrossRefGoogle Scholar
  22. 22.
    Longini IM, Halloran ME, Nizam A, Yang Y (2004) Containing pandemic influenza with antiviral agents. American journal of epidemiology 159(7):623–633CrossRefGoogle Scholar
  23. 23.
    Lee BY, Brown ST, Cooley P, Potter MA, Wheaton WD, Voorhees RE, Burke DS (2010) Simulating school closure strategies to mitigate an influenza epidemic. Journal of public health management and practice : JPHMP 16(3):252CrossRefGoogle Scholar
  24. 24.
    Mniszewski SM, Del Valle SY, Stroud PD, Riese JM, Sydoriak SJ (2008) Pandemic simulation of antivirals + school closures: buying time until strain-specific vaccine is available. Computational and Mathematical Organization Theory 14(3):209–221CrossRefGoogle Scholar
  25. 25.
    Longini IM, Nizam A, Xu S, Ungchusak K, Hanshaoworakul W, Cummings DA, Halloran ME (2005) Containing pandemic influenza at the source. Science 309(5737):1083–1087CrossRefGoogle Scholar
  26. 26.
    Brankston G, Gitterman L, Hirji Z, Lemieux C, Gardam M (2007) Transmission of influenza A in human beings. Lancet Infectious Diseases 257–65Google Scholar
  27. 27.
    Diekmann OH (1990) On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. Journal of mathematical biology 28(4):365–382CrossRefGoogle Scholar
  28. 28.
    Mills CE, Robins JM, Lipsitch M (2004) Transmissibility of 1918 pandemic influenza. Nature 432(7019):904–906CrossRefGoogle Scholar
  29. 29.
    Ferguson NM, Cummings DA, Cauchemez S, Fraser C, Riley S, Meeyai A, Burke DS (2005) Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437(7056):209–214CrossRefGoogle Scholar
  30. 30.
    Chowell G, Miller MA, Viboud C (2008) Seasonal influenza in the United States, France, and Australia: transmission and prospects for control. Epidemiology and infection 136(06):852–864CrossRefGoogle Scholar
  31. 31.
    Mao L (2011) Agent-based simulation for weekend-extension strategies to mitigate influenza outbreaks. BMC public health 11(1):522CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Mechanical and Industrial EngineeringConcordia UniversityMontrealCanada
  2. 2.Centre for Engineering in SocietyConcordia UniversityMontrealCanada

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