Predicting self-initiated preventive behavior against epidemics with an agent-based relative agreement model

JASSS

Volumn 18, Issue 4, 2015, Pages

  Mao, Liang ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

Agent based modeling; Infectious diseases; Relative agreement rules; Self initiated behavior; Social network

Indexed keywords

EID: 84945943541     PISSN: 14607425     EISSN: None     Source Type: Journal    
DOI: 10.18564/jasss.2892     Document Type: Article

References (39)

1. AMBLARD, F., & Deffuant, G. (2004). The role of network topology on extremism propagation with the relative agreement opinion dynamics. Physica A: Statistical Mechanics and its Applications, 343(15), 725–738. [doi:10.1016/j.physa.2004.06.102]
2. ANDERSON, R. M., & May, R. M. (1992). Infectious Diseases of Humans: Dynamics and Control. New York: Oxford University Press.
3. BAUMAN, K. E., & Ennett, S. T. (1994). Peer influence on adolescent drug use. American Psychologist, 49(9), 820. [doi:10.1037/0003-066X.49.9.820]
4. BIAN, L., & Liebner, D. (2007). A network model for dispersion of communicable diseases. Transactions in GIS, 11 (2), 155–173. [doi:10.1111/j.1467-9671.2007.01039.x]
5. CDC. (2008). Preventing Seasonal Flu, 2009, from http://www.cdc.gov/flu/protect/preventing.htm
6. CHOWELL, G., Miller, M. A., & Viboud, C. (2007). Seasonal influenza in the United States, France, and Australia: transmission and prospects for control. Epidemiology and Infection, 136(6), 852–864.
7. CHRISTAKIS, N. A., & Fowler, J. H. (2007). The Spread of Obesity in a Large Social Network over 32 Years. New England Journal of Medicine, 357 (4), 370–379. [doi:10.1056/NEJMsa066082]
8. CHRISTAKIS, N. A., & Fowler, J. H. (2008). The collective dynamics of smoking in a large social network. New England Journal of medicine, 358 (21), 2249–2258. [doi:10.1056/NEJMsa0706154]
9. DEFFUANT, G., Amblard, F., Weisbuch, G., & Faure, T. (2002). How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation, 5(4), 1. http://jasss.soc.surrey.ac.uk/5/4/1.html
10. DEFFUANT, G., Huet, S., & Amblard, F. (2005). An Individual-Based Model of Innovation Diffusion Mixing Social Value and Individual Benefit. American Journal of Sociology, 110(4), 1041–1069. [doi:10.1086/430220]
11. EPSTEIN, J. M., Parker, J., Cummings, D., & Hammond, R. A. (2008). Coupled contagion dynamics of fear and disease: mathematical and computational explorations. PLoS One, 3(12), e3955. [doi:10.1371/journal.pone.0003955]
12. FENICHEL, E. P., Castillo-Chavez, C., Ceddia, M., Chowell, G., Parra, P. A. G., Hickling, G. J., Perrings, C. (2011). Adaptive human behavior in epidemiological models. Proceedings of the National Academy of Sciences, 108(15), 6306–6311. [doi:10.1073/pnas.1011250108]
13. FERGUSON, N. M., Cummings, D. A., Fraser, C., Cajka, J. C., Cooley, P. C., & Burke, D. S. (2006). Strategies for mitigating an influenza pandemic. Nature, 442(7101), 448–452. [doi:10.1038/nature04795]
14. FUNK, S., Bansal, S., Bauch, C. T., Eames, K. T., Edmunds, W. J., Galvani, A. P., & Klepac, P. (2014). Nine challenges in incorporating the dynamics of behaviour in infectious diseases models. Epidemics, 10, 21-15. [doi:10.1016/j.epidem.2014.09.005]
15. FUNK, S., Gilad, E., Watkins, C., & Jansen, V. A. (2009). The spread of awareness and its impact on epidemic outbreaks. Proceedings of the National Academy of Sciences, 106(16), 6872–6877. [doi:10.1073/pnas.0810762106]
16. FUNK, S., Salathé, M., & Jansen, V. A. (2010). Modelling the influence of human behaviour on the spread of infectious diseases: a review. Journal of the Royal Society Interface, 7(50), 1247–1256. [doi:10.1098/rsif.2010.0142]
17. GLANZ, K., Rimer, B. K., & Lewis, F. M. (2002). Health Behavior and Health Education: Theory, Research, and Practice (3rd ed.). San Francisco: Jossey-Bass.
18. GRANOVETTER, M. (1978). Threshold models of collective behavior. American journal of sociology, 83(6), 1420–1443. [doi:10.1086/226707]
19. HÄGERSTRAND, T. (1967). Innovation diffusion as a spatial process. Chicago: University of Chicago Press.
20. HEYMANN, D. L. (2004). Control of Communicable Diseases Manual (18th ed.). Washington, DC: American Public Health Association.
21. KERMACK, W. O., & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings Royal Statistics Society, 115(772), 700–721. [doi:10.1098/rspa.1927.0118]
22. KISS, I. Z., Cassell, J., Recker, M., & Simon, P. L. (2010). The impact of information transmission on epidemic outbreaks. Mathematical biosciences, 225(1), 1–10. [doi:10.1016/j.mbs.2009.11.009]
23. KOOPMAN, J. S., & Lynch, J. W. (1999). Individual causal models and population system models in epidemiology. American Journal of Public Health, 89(8), 1170–1174. [doi:10.2105/AJPH.89.8.1170]
24. LONGINI, I. M., Halloran, M. E., Nizam, A., & Yang, Y. (2004). Containing pandemic influenza with antiviral agents. American Journal of Epidemiology, 159 (7), 623–633. [doi:10.1093/aje/kwh092]
25. LONGINI, I. M., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D. A. T., & Halloran, M. E. (2005). Containing pandemic influenza at the source. Science, 309(5737), 1083–1087. [doi:10.1126/science.1115717]
26. MCKENZIE, F. E. (2004). Smallpox models as policy tools. Emerging Infectious Diseases, 10(11), 2044–2047. [doi:10.3201/eid1011.040455]
27. MELONI, S., Perra, N., Arenas, A., Gómez, S., Moreno, Y., & Vespignani, A. (2011). Modeling human mobility responses to the large-scale spreading of infectious diseases. Scientific reports, 1 (62): 62. [doi:10.1038/srep00062]
28. MILLS, C. E., Robins, J. M., & Lipsitch, M. (2004). Transmissibility of 1918 pandemic influenza. Nature, 432(7019), 904–906. [doi:10.1038/nature03063]
29. NICHOL, K. L., & Zimmerman, R. (2001). Generalist and Subspecialist Physicians' Knowledge, Attitudes, and Practices Regarding Influenza and Pneumococcal Vaccinations for Elderly and Other High-Risk Patients. Archives of Internal Medicine, 161(22), 2702–2708. [doi:10.1001/archinte.161.22.2702]
30. PERISIC, A., & Bauch, C. T. (2009). Social contact networks and disease eradicability under voluntary vaccination. PLoS computational biology, 5(2), e1000280. [doi:10.1371/journal.pcbi.1000280]
31. POLETTI, P., Caprile, B., Ajelli, M., Pugliese, A., & Merler, S. (2009). Spontaneous behavioural changes in response to epidemics. Journal of theoretical biology, 260(1), 31–40. [doi:10.1016/j.jtbi.2009.04.029]
32. RELUGA, T. C. (2010). Game theory of social distancing in response to an epidemic. PLoS computational biology, 6(5), e1000793. [doi:10.1371/journal.pcbi.1000793]
33. SAHNEH, F. D., Chowdhury, F. N., & Scoglio, C. M. (2012). On the existence of a threshold for preventive behavioral responses to suppress epidemic spreading. Scientific reports, 2(632), 10.1038/srep00632. [doi:10.1038/srep00632]
34. TOY, W. C., Janosky, J. E., & Laird, S. B. (2005). Influenza immunization of medical residents: knowledge, attitudes, and behaviors. AJIC: American Journal of Infection Control, 33(8), 473–475. [doi:10.1016/j.ajic.2005.06.003]
35. VALENTE, T. W. (1995). Network Models of the Diffusion of Innovations. Cresskill: Hampton Press.
36. WATTS, D. J., & Strogatz, S. H. (1998). Collective dynamics of'small-world networks. Nature, 393(6684), 409–410. [doi:10.1038/30918]
37. WEINSTEIN, N. D., & Sandman, P. M. (1992). A model of the precaution adoption process: Evidence from home radon testing. Health Psychology, 11(3), 170–180. [doi:10.1037/0278-6133.11.3.170]
38. WU, Q., Fu, X., Small, M., & Xu, X.-J. (2012). The impact of awareness on epidemic spreading in networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 22(1), 013101. [doi:10.1063/1.3673573]
39. YANG, Y., Sugimoto, J. D., Halloran, M. E., Basta, N. E., Chao, D. L., Matrajt, L., Potter, G., Kenah, E. Longini, I. M. (2009). The transmissibility and control of pandemic influenza A (H1N1) virus. Science, 326(5953), 729–733. [doi:10.1126/science.1177373]