Year 2016,
Volume: 4 Issue: 2, 58 - 70, 30.10.2016
Zafer Bekiryazici
,
Mehmet Merdan
,
Tülay Kesemen
,
Mohammed Najmuldeen
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.
- [11] Imran, M., Hassan, M., Dur-E-Ahmad, M. and Khan, A., A comparison of a deterministic and stochastic model
for Hepatitis C with an isolation stage. Journal of Biological Dynamics, 7 (2013), no. 1, 276-301.
- [12] Kermack, W.O. and McKendrick, A.G., A Contribution the Mathematical Theory of Epidemics. Proceedings of
The Royal Society A, 115 (1927), no. 772, 700-721.
- [13] Kloeden, P.E. and Platen, E., Numerical Solution of Stochastic Differential Equations, Second Edition, SpringerVerlag,
New York, 1995.
- [14] Kolmogorov A. N., Foundations of the Theory of Probability, Chelsea Publishing Company, New York, 1956.
- [15] Lahrouz, A., Omari, L., Kiouach, D. and Belmaati, A., Deterministic and Stochastic Stability of a Mathematical
Model of Smoking. Statistics and Probability Letters, 81 (2011), 1276-1284.
- [16] Martcheva, M., An Introduction to Mathematical Epidemiology, Springer Science+Business Media, New York,
2015.
- [17] Merdan M., Bekiryazici Z. and Kesemen T., Stochastic and Deterministic Stability of Models for Hepatitis C, 7th
International Conference on Mathematical Analysis, Differential Equations and their Applications, September
2015, Baku, Abstracts Book, p. 114.
- [18] Merdan, M., and Khaniyev, T., On the Behaviour of Solutions under the Influence of Stochastic Effect of
Avian-Human Influenza Epidemic Model. International Journal of Biotechnology and Biochemistry, 4 (2008), no. 1,
75-100.
- [19] Pang, L., Zhao, Z., Liu, S., Zhang, X., A Mathematical Model Approach for Tobacco Control in China. Applied
Mathematics and Computation, 259 (2015), 497-509.
- [20] Phaijoo, G.R. and Gurung, D.B., Mathematical Study of Biting Rates of Mosquitoes in Transmission of Dengue
Disease, Journal of Science. Engineering and Technology, 11 (2015), no. 2, 25-33.
- [21] Shiryayev A. N., Gradute Texts in Mathematics: Probability, Spring Science+ Business Media, LLC, New York,
1984.
- [22] Soong, T.T., Random Differential Equations in Science and Engineering, Academic Press Inc., New York, 1973.
- [23] Tan, W. and Wu, H., Stochastic Modeling of the Dynamics of CD4+ T-Cell Infection by HIV ad Some Monte
Carlo Studies. Mathematical Biosciences, 147 (1998), 173-205.
- [24] Yaacob, Y., Analysis of a Dengue Disease Transmission Model without Immunity. Matematika, 23 (2007), no. 2,
75-81.
- [25] World Health Org., Dengue and severe dengue, http://www.who.int/mediacentre/factsheets/fs117/en/, 23
March 2016.
Mathematical Modeling of Dengue Disease under Random Effects
Year 2016,
Volume: 4 Issue: 2, 58 - 70, 30.10.2016
Zafer Bekiryazici
,
Mehmet Merdan
,
Tülay Kesemen
,
Mohammed Najmuldeen
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.
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.
- [11] Imran, M., Hassan, M., Dur-E-Ahmad, M. and Khan, A., A comparison of a deterministic and stochastic model
for Hepatitis C with an isolation stage. Journal of Biological Dynamics, 7 (2013), no. 1, 276-301.
- [12] Kermack, W.O. and McKendrick, A.G., A Contribution the Mathematical Theory of Epidemics. Proceedings of
The Royal Society A, 115 (1927), no. 772, 700-721.
- [13] Kloeden, P.E. and Platen, E., Numerical Solution of Stochastic Differential Equations, Second Edition, SpringerVerlag,
New York, 1995.
- [14] Kolmogorov A. N., Foundations of the Theory of Probability, Chelsea Publishing Company, New York, 1956.
- [15] Lahrouz, A., Omari, L., Kiouach, D. and Belmaati, A., Deterministic and Stochastic Stability of a Mathematical
Model of Smoking. Statistics and Probability Letters, 81 (2011), 1276-1284.
- [16] Martcheva, M., An Introduction to Mathematical Epidemiology, Springer Science+Business Media, New York,
2015.
- [17] Merdan M., Bekiryazici Z. and Kesemen T., Stochastic and Deterministic Stability of Models for Hepatitis C, 7th
International Conference on Mathematical Analysis, Differential Equations and their Applications, September
2015, Baku, Abstracts Book, p. 114.
- [18] Merdan, M., and Khaniyev, T., On the Behaviour of Solutions under the Influence of Stochastic Effect of
Avian-Human Influenza Epidemic Model. International Journal of Biotechnology and Biochemistry, 4 (2008), no. 1,
75-100.
- [19] Pang, L., Zhao, Z., Liu, S., Zhang, X., A Mathematical Model Approach for Tobacco Control in China. Applied
Mathematics and Computation, 259 (2015), 497-509.
- [20] Phaijoo, G.R. and Gurung, D.B., Mathematical Study of Biting Rates of Mosquitoes in Transmission of Dengue
Disease, Journal of Science. Engineering and Technology, 11 (2015), no. 2, 25-33.
- [21] Shiryayev A. N., Gradute Texts in Mathematics: Probability, Spring Science+ Business Media, LLC, New York,
1984.
- [22] Soong, T.T., Random Differential Equations in Science and Engineering, Academic Press Inc., New York, 1973.
- [23] Tan, W. and Wu, H., Stochastic Modeling of the Dynamics of CD4+ T-Cell Infection by HIV ad Some Monte
Carlo Studies. Mathematical Biosciences, 147 (1998), 173-205.
- [24] Yaacob, Y., Analysis of a Dengue Disease Transmission Model without Immunity. Matematika, 23 (2007), no. 2,
75-81.
- [25] World Health Org., Dengue and severe dengue, http://www.who.int/mediacentre/factsheets/fs117/en/, 23
March 2016.