Mathematical Modeling of Dengue Disease under Random Effects
Abstract
In this study, the deterministic mathematical model of Dengue disease is examined under Laplacian
random effects. Random variables with Laplace distribution are used for randomizing the deterministic
parameters. Simulations of the numerical results of the equation system are made with Monte-Carlo
methods and the results are used for commenting on the disease. Comments are made on the random
behavior of the components of the model after the calculation of their numerical characteristics like the
expected value, variance, standard deviation, confidence interval and moments along with the coefficients
of skewness and kurtosis from the results of the simulations. Results from the deterministic model are
compared with the results from the random model to point out the possible contribution of random
modeling to mathematical analysis studies on the disease.
Keywords
Mathematical Model,Random Effect,Simulation,Laplace Distribution
References
- [1] Bailey, N., The Mathematical Theory of Infectious Diseases and its Applications, Griffin, London, 1975.
- [2] Bhatt, S., Gething, P.W., Brady, O.J., Messina, J.P., Farlow, A.W., Moyes, C.L. et al., The global distribution and burden of dengue. Nature, 496 (2013), 504-507.
- [3] Brady, O.J., Gething, P.W., Bhatt, S., Messina, J.P., Brownstein, J.S., Hoen, A.G. et al., Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLOS Negl Trop Dis 6 (20120), no. 8.
- [4] Bronson, R., Schaum’s Outline of Differential Equations, 4th Edition, McGraw-Hill Education, New York, 2014.
- [5] Butcher, J.C., Numerical Methods for Ordinary Differential Equations, John Wiley & Sons, New York, 2008.
- [6] Cyganowski, S., Kloeden, P. and Ombach, J., From Elementary Probability to Stochastic Differential Equations with MAPLE , Springer-Verlag, New York, 2001.
- [7] Dietz, K., Transmission and control of arbovirus diseases. In D. Ludwig and K. L. Cooke, editors, Epidemiology, 104–121. SIAM, 1975.
- [8] Esteva, L. and Vargas, C., Analysis of a dengue disease transmission model. Mathematical Biosciences, 150 (1998), 131-151.
- [9] Feller W., An Introduction to Probability Theory and Its Applications, Volume I, 3rd Edition John Wiley & Sons, Inc., New York, 1968.
- [10] Feller W., An Introduction to Probability Theory and Its Application, Volume II, John Wiley & Sons, Inc., New York, 1971.