Coevolution of Epidemics, Social Networks, and Individual Behavior: A Case Study
This research shows how a limited supply of antivirals can be distributed optimally between the hospitals and the market so that the attack rate is minimized and enough revenue is generated to recover the cost of the antivirals. Results using an individual based model find that prevalence elastic demand behavior delays the epidemic and change in the social contact network induced by isolation reduces the peak of the epidemic significantly. A microeconomic analysis methodology combining behavioral economics and agent-based simulation is a major contribution of this work. In this paper we apply this methodology to analyze the fairness of the stockpile distribution, and the response of human behavior to disease prevalence level and its interaction with the market.
Keywordssocial network epidemic antiviral behavioral economics microeconomic analysis
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- 1.Centre approves restricted retail sale of Tamiflu (2009), http://www.livemint.com/2009/08/28001825/Centre-approves-restricted-ret.html
- 3.Barrett, C., Bisset, K., Leidig, J., Marathe, A., Marathe, M.: Estimating the impact of public and private strategies for controlling an epidemic: A multi-agent approach. In: Proceedings of the 21st IAAI Conference (2009)Google Scholar
- 5.Bisset, K., Chen, J., Feng, X., Kumar, V.A., Marathe, M.: EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems. In: Proceedings of the 23rd International Conference on Supercomputing (ICS), pp. 430–439 (2009)Google Scholar
- 6.Bisset, K., Marathe, M.: A cyber environment to support pandemic planning and response. DOE SciDAC Review Magazine (13) (Summer 2009)Google Scholar
- 7.Dept. of Health and Huamn Services. Guidance on antiviral drug use during an influenza pandemic (2009), http://www.flu.gov/individualfamily/vaccination/antiviral_use.pdf (accessed on November 6, 2009)
- 8.Dept. of Health and Huamn Services. HHS pandemic influenza plan (2007)Google Scholar
- 9.Epstein, J., Eubank, S., Lipsitch, M., Hammond, R., Bergstrom, C., Goldstein, E., Marathe, A., Raifman, M., Lewis, B.: Modeling of distribution alternatives of home antiviral drug stockpiling. In: NIH MIDAS Meeting (June 17, 2008)Google Scholar
- 17.Meyers, L., Newman, M., Martin, M., Schrag, S.: Applying network theory to epidemics: Control measures for outbreaks of mycoplasma pneumonia. Emerging Infectious Diseases 9, 204–210 (2003)Google Scholar
- 19.Murray, J.D.: Mathematical Biology: I. An Introduction, 3rd edn. Springer, Heidelberg (2007)Google Scholar
- 20.Philipson, T.: Economic epidemiology and infectious diseases. In: Culyer, A.J., Newhouse, J.P. (eds.) Handbook of Health Economics, vol. 1, ch.33, pp. 1761–1799. Elsevier, Amsterdam (2000)Google Scholar