HUMAN BEHAVIORAL CHANGES AND ITS IMPACT IN DISEASE MODELING
DOI:
https://doi.org/10.11113/jt.v77.7001Keywords:
Infectious diseases, individual-based model, human behavioral changes, vaccination decision, level of fearfulnessAbstract
One of the threats of the world health is the infectious diseases. This leads to the raise of concern of the policymakers and disease researchers. Vaccination program is one of the methods to prevent the vaccine-preventable diseases and hence help to eradicate the diseases. The impact of the preventive actions is related to the human behavioral changes. Fear of the diseases will increase one’s incentive in taking the preventive actions to avoid the diseases. As human behavioral changes affecting the impact of the preventive actions, the individual-based model is constructed to incorporate the behavioral changes in disease modeling. The agents in the individual-based model are allowed to move randomly and interact with each other in the environment. The interactions will cause the disease viruses as well as the fearfulness to be spread in the population. In addition, the individual-based model can have different environment setups to distinguish the urban and rural areas. The results shown in this paper are divided into two subsections, which are the justification of using uniform distribution as random number generator, and the variation of disease spread dynamics in urban and rural areas. Based on the results, the uniform distribution is found to be sufficient in generating the random numbers in this model as there is no extreme outlier reported in the experiment. We have hypothesized the individuals in urban area to have higher level of fearfulness compared to those in rural area. However, the preliminary results of the survey conducted show a disagreement with the hypothesis. Nevertheless, the data collected still show two distinct classes of behavior. Thus, the distinction does not fall into the samples taken from rural or urban areas but perhaps more on the demographic factors. Therefore, the survey has to be study again and demographic factors have to be included in the survey as we could not distinguish the level of fearfulness by areas. Â
References
Centers of Disease Control and Prevention. 2014. Ebola Outbreak in West Africa. Accessed on 13 November 2015. http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/index.html.
Kollmuss, A. & Agyeman, J. 2002. Mind the Gap: Why Do People Act Environmentally And What Are The Barriers To Pro-Environmental Behavior?. Environmental Education Research, 8(3): 239-260.
Ferguson, N. 2007. Capturing Human Behavior. Nature. 446.
Li, J. and Zou, X. 2009. Generalization Of The Kermack-McKendrick SIR Model To A Patch Environment For A Disease With Latency. Math. Model. Nat. Phenom. 4(2): 92-118.
Funk, S., Salathe, M., & Jansen, V.A.A. 2010. Modelling The Influence Of Human Behaviour On The Spread Of Infectious Diseases: A Review. Journal of the Royal Society Interface, 7(50): 1247-56.
Perra, N., Balcan, D., Goncalves, B., & Vespignani, A. 2011. Towards A Characterization Of Behavior-Disease Models. PLoS ONE 6(8): e23084. doi:10.1371/journal.pone.0023084.
Neuberg, S. L., Kendrick, D. & Schaller, M. 2011. Human Threatment Management Systems: Self-Protection and Disease Avoidance. Neurosci Biobehav Rev. 35(4): 1042–1051. doi:10.1016/j.neubiorev.2010.08.011.
Xia, S. & Liu, J. 2014. A Belief-Based Model For Characterizing The Spread Of Awareness And Its Impacts On Individuals' Vaccination Decisions. Journal of the Royal Society Interface. 11: 20140013.
Lamb, A., Paul, M. J., Dredze, M. 2013. Separating Fact from Fear: Tracking Flu Infections On Twitter. Proceedings of NAACL-HLT. 2013. 789-795.
Teoh, S. L., Phang, P. and Labadin, J. 2014. A Computational Approach in Epidemiological Game Theory. Proceedings of the Society for Design and Process Sciences. 15-19 Jun 2014. 53-59.
Khalil, K.M., Abdel-Aziz, M., Nazmy, T.T., Salem, A.-B.M. 2010. An agent-based modeling for pandemic influenza in Egypt. Informatics and Systems (INFOS), 2010 The 7th International Conference on. 28-30 March 2010. 1-7.
Keeling, M.J. and Danon, L. 2009. Mathematical Modelling Of Infectious Diseases. British Medical Bulletin 2009, 92: 33–42.
Fu, S., and Milne, G. 2003. Epidemic Modelling Using Cellular Automata. Proceedings of the Australian Conference On Artificial Life.
Parunak, H. V. D., Savit, R., and Riolo, R. L. 1998. Agent-Based Modelling vs. Equation-Based Modelling: A Case Study and Users’ Guide. Proceedings of Multi-Agent systems And Agent-Based Simulation (MABS’98). 10-25, Springer, LNAI 1534.
Macal, C. M. and North, M. J. 2010. Tutorial On Agent-Based Modelling And Simulation. Journal Of Simulation. 4: 151-162.
Macal, C. M. and North, M. J. 2007. Agent-Based Modeling and Simulation: Desktop ABMS. Proceedings of the 2007 Winter Simulation Conference.
LeBaron, B. 1999. Agent-Based Computational Finance: Suggested Readings And Early Research. Journal of Economic Dynamics & Control. 24(2000): 679-702.
Hommes, C. 2005. Heterogeneous Agent Models in Economics and Finance. Tinbergen Institute Discussion Paper. No. 05-056/1.
Rahmandad, H. and Sterman, J. 2008. Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models. Management Science. 54(5): 998–1014.
Perez, L. and Dragicevic, S. 2009. An Agent-Based Approach For Modeling Dynamics Of Contagious Disease Spread. International Journal of Health Geographics. 8(50).
Epstein, J. M. 2002. Modeling Civil Violence: An Agent-Based Computational Approach. Proceedings of the National Academy of Sciences of the United States of America. May 14th 2002. 99(3): 7243-7250.
Smith, E. R. and Conrey, F. R. 2007. Agent-Based Modeling: A New Approach for Theory Building in Social Psychology. Personality and Social Psychology Review. 11(1): 87-104.
Miekisz, J. 2008. Evolutionary Game Theory and Population Dynamics. In Capasso, V. and Lachowicz, M. (Eds.). Lecture Notes In Mathematics. Multiscale Problems In Life Sciences, From Microscopic To Macroscopic. 1940: 296-316.
David, E. and Jon, K. 2010. Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge: Cambridge University Press.
Perisic, A. and 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.
Joseph Howse. 2013. Open CV Computer Vision with Python. Birmingham: Packt Publishing Ltd.
Bauch, C. T. 2005. Imitation Dynamics Predict Vaccinating Behaviour. Proceedings of The Royal Society B. 272: 1669-1675.
Tisue, S., and Wilensky, U. 2004. NetLogo: Design And Implementation Of A Multi-Agent Modeling Environment. In Proceedings Of Agent. October, 2004. 2004: 7-9.
Taillandier, P., Vo, D. A., Amouroux, E., and Drogoul, A. 2012. GAMA: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling And Multi-Scale Control. Principles And Practice Of Multi-Agent System. 7057/2012: 242-258.
North, M. J., Tatara, E., Collier, N. T., & Ozik, J. 2007. Visual Agent-Based Model Development With Repast Simphony. Tech. Rep. Argonne National Laboratory.
NetLogo 5.1.0 User Manual. Accessed on 20 November 2014. https://ccl.northwestern.edu/netlogo/docs/.
Larson, R., & Farber, B. 2006. Elementary Statistics: Picturing The World. 3rd Ed. New Jersey: Pearson Prentice Hall.
Chapman, L. K., Vines, L., and Petrie, J. 2010. Fear Factors: Cross Validation Of Speciï¬c Phobia Domains In A Community-Based Sample Of African American Adults. Journal of Anxiety Disorders. 25(4): 539-544.
Fear Survey Schedule. Accessed on 10 August 2014. http://www.edits.net/products/psychological-assessments/fss.html.
Fu, F., Rosenbloom, D. I., Wang, L., and Nowak, M. A. 2010. Imitation Dynamics of Vaccination Behavior On Social Networks. Proceedings
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