Abstract
Much of trajectory analysis currently exists at the theoretical and modeling/simulation stage. NetLogo and other simulation programs for Agent Based Models (ABM) utilize differential equations to model real-world processes. They can be used for theory development and testing in comparison to natural systems. Combined with statistical methods and trajectory analysis, they can validate health models for a tremendous variety of situations and conditions, measuring the causative driving and dissipative forces for processes that can inform medical and health interventions.
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Abbreviations
- ABM:
-
Agent-Based Model
- PRC:
-
Phase response curve
References
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl. 3), 7280–7287.
Bracewell, R. (1965). The Fourier transform and its applications. New York: McGraw-Hill.
Brown, C. (2007). Differential equations: A modeling approach. Los Angeles: SAGE Publications.
Christian, J. J., & Davis, D. E. (1964). Endocrines, behavior, and population. Science, 146(3651), 1550–1560.
Frey, S., & Goldstone, R. L. (2013). Cyclic game dynamics driven by iterated reasoning. PloS One, 8(2), e56416. doi:10.1371/journal.pone.0056416.
Gilbert, N. (2008). Agent-based models. Los Angeles: SAGE Publications.
Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist (2nd ed.). Berkshire, UK: Open University Press.
Grimm, V., & Railsback, S. F. (2005). Individual-based modeling and ecology. Princeton, NJ: Princeton University Press.
Lotka, A. J. (1956). Elements of mathematical biology. New York: Dover.
Nasritdinov, G., & Dalimov, R. (2010). Limit cycle, trophic function and the dynamics of intersectoral interaction. Current Research Journal of Economic Theory, 2(2), 32–40.
Smith, R. L., & Smith, T. M. (1998). Elements of ecology (4th ed.). Menlo Park, CA: Benjamin/Cummings.
Thom, R. (1977). Structural stability, Catastrophe theory, and applied mathematics: The John von Neumann lecture, 1976. SIAM Review, 19(2), 189–201.
Wilensky, U. (1997). NetLogo wolf sheep predation model. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern Institute on Complex Systems, Northwestern University. http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation. Accessed 10 January 2017.
Wilensky, U. (1999). NetLogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern Institute on Complex Systems, Northwestern University. http://ccl.northwestern.edu/netlogo/. Accessed 1 March 2014.
Wolfram, S. (2002). A new kind of science. Champaign, IL: Wolfram Media.
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Hollar, D.W. (2018). Simulations, Applications, and the Challenge for Public Health. In: Trajectory Analysis in Health Care. Springer, Cham. https://doi.org/10.1007/978-3-319-59626-6_16
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DOI: https://doi.org/10.1007/978-3-319-59626-6_16
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