Browse > Article
http://dx.doi.org/10.14317/jami.2013.747

DYNAMICAL BEHAVIOUR OF A DRINKING EPIDEMIC MODEL  

Sharma, Swarnali (Department of Mathematics, Heritage Institute of Technology)
Samanta, G.P. (Department of Mathematics, Bengal Engineering and Science University)
Publication Information
Journal of applied mathematics & informatics / v.31, no.5_6, 2013 , pp. 747-767 More about this Journal
Abstract
In this paper we have constructed a mathematical model of alcohol abuse which consists of four compartments corresponding to four population classes, namely, moderate and occasional drinkers, heavy drinkers, drinkers in treatment and temporarily recovered class. Basic reproduction number $R_0$ has been determined and sensitivity analysis of $R_0$ indicates that ${\beta}1$ (the transmission coefficient from moderate and occasional drinker to heavy drinker) is the most useful parameter for preventing drinking habit. Stability analysis of the model is made using the basic reproduction number. The model is locally asymptotically stable at disease free or problem free equilibrium (DFE) $E_0$ when $R_0<1$. It is found that, when $R_0=1$, a backward bifurcation can occur and when $R_0>1$, the endemic equilibrium $E^*$ becomes stable. Further analysis gives the global asymptotic stability of DFE under some conditions. Our important analytical findings are illustrated through computer simulation. Epidemiological implications of our analytical findings are addressed critically.
Keywords
Basic reproduction number; Sensitivity; Local and global Stability; Forward and Backward bifurcations;
Citations & Related Records
연도 인용수 순위
  • Reference
1 G. P. Samanta, Dynamic behaviiour for a nonautonomous heroin epidemic model with time delay, J. Appl. Math. Comput. 35 (2009) 161-178.
2 F. Sanchez, Studies in Epidemiology and Social Dynamics, Dissertation, Cornell University, 2006.
3 F. Sanchez, X. Wang, C. Castillo-Cahvez, D. M.Gorman, P.J. Gruenwald, Drinking as an epidemic: a simple mathematical model with recovery and relapse,In: K. Witkiewitz, G.A. Marlett,(eds.) Therapist's Guide to Evidence- Based Relapse Prevention: Practical Resources for the Mental Health Professional, Academic Press, Burlington (2007) 353-368.
4 O.Sharomi, C.N. Podder, A. B. Gumel, E. H. Elbasha, J. Watmough, Role of incidence function in vaccine-induced backward bifurcation in some HIV models, Mathematical Biosciences 210 (2007) 436-463.   DOI   ScienceOn
5 B. Song, Seminar Notes, Backward or Forward at $R_0$ / 1, Mathematical and Theoretical Biology Institute, Summer, 2005.
6 P. Van den Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Mathematical Biosciences 180 (2002) 29-48.   DOI   ScienceOn
7 W. Wang, Backward bifurcation of an epidemic model with treatment, mathematical Biosciences 201 (2006) 58-71.   DOI   ScienceOn
8 E. R. Weitzman, A. Flokman, K.L.Folkman, H. Weschler, The relationship of alcohol outlet density to heavy and frequent drinking and drinking related problems among college students at eight universities, Health Place (2003) 1-6.
9 E. White, C. Comiskey, Heroin epidemics, treatment and ODE modelling, Mathematical Biosciences 208 (2007) 312-324.   DOI   ScienceOn
10 X. Zhang, X. Liu, Backward bifurcation of an epidemic model with saturated treatment function, J. Math. Anal. Appl. 348 (2008) 433-443.
11 H. Hethcote, J. Yorke, Gonorrhea Transmission Dynamics and Control, Lecture Notes in Biomathematics, Springer-Verlag, Berlin 56, 1984.
12 G. Mulone, B. Straughan, A note on heroin epidemics, Mathematical Biosciences 218 (2009) 138-141.   DOI   ScienceOn
13 M. Kot, Elements of Mathematical Ecology, Cambridge, Cambridge University Press, 2001.
14 J. Liu, T. Zhang, Global behaviour of a heroin epidemic model with distributive delays, Applied Mathematics Letters 24 (2011) 1685-1692.   DOI   ScienceOn
15 A. Mubayi, P. Greenwood, C. Castillo-Chavez, P.J.Gruenewald, D.M.Gorman,On the impact of Relative Residence Times, in highly distinct environments, on the distribution of heavy drinkers, Socio. Econ. Plan. Sci.(In Press).
16 National Institute of Alcohol Abuse and Alcoholism (2008) Five Year Strategic Plan. http://www.niaaa.nih.gov/publications/srtategicplan/NIAAASTRATEGICPLAN.htm. Cited 29 Apr 2008.
17 National Institute of Alcohol Abuse and Alcoholism (2008) Frequently Asked Questions for the General Public. http://www.niaaa.nih.gov/FAQs/General-English/default.htm. Cited 29 Apr 2008.
18 NHS Information Centre. http://www.ic.nhs.uk/wefiles/publications. Cited 26 May 2011.
19 F. Nyabadza, S. D. Hove-Musekwa, From heroin epidemics to methamphetamine epidemics: Modelling substance abuse in a South African province, Mathematical Biosciences 225 (2010) 132-140.   DOI   ScienceOn
20 J. Orford, M. Krishnan, M. Balaam, M. Everitt, K. Van der Graaf, University student drinking: the role of motivational and social factors, Drug-Educ. Prev. Polic. 11 (2004) 407-421.   DOI   ScienceOn
21 C. Parry, Substance abuse trends in the Western Capes: Summary (25/2/05), Alcohol and Drug Abuse Research Unit, Medical Research Council, 2005.
22 P E. Renshaw, Modelling Biological Populations in Space and Time, Cambridge University Press, Cambridge, 1991.
23 C. Castillo-Chavez, B.Song, Dynamical models of tuberculosis and their applications, Mathematical Biosciences and Engineering,1 (2004) 361-404.   DOI
24 S. Busenberg, C. Castillo-Chavez, Interaction, pair formation and force of infection terms in sexually transmitted diseases. In: C. Castillo-Chavez (ed.) Mathematical Epidemiology, Lecture Notes in Biomathematics 83 (1989) 280-300.
25 J. Carr, Applications of Center Manifold Theory, Springer-Verlag, New York, 1981.
26 C. Castillo-Chavez, W. Huang, Competitive exclusion in gonorrhea models and other sexually-transmitted diseases, SIAM, J. Appl. Math. 56 (1996) 494-508.   DOI   ScienceOn
27 Centers for Disease Control and Prevention (2008), Alcohol and Public Health. http://www.cdc.gov/alcohol/index.htm. Cited 29 Apr 2008.
28 Centers for Disease Control and Prevention (2008),Frequently Asked Questions: What do you mean by heavy drinking? http://www.cdc.gov/alcohol/faqs.htm# 10. Cited 11 May 2008.
29 Centers for Disease Control and Prevention (2008),Frequently Asked Questions: What does moderate drinking means? http://www.cdc.gov/alcohol/faqs.htm# 6. Cited 11 May 2008.
30 Centers for Disease Control and Prevention (2008), General Information on Alcohol Use and health. http://www.cdc.gov/alcohol/quickstats/generalinfo.htm. Cited 1 May 2008.
31 G. Chowell, P. W. Fenimore, M. A. Castillo-Carsow, C. Castillo-Chavez, SARS out-breaks in Ontario, HOng Kong and Singapore: the role of diagnosis and isolation as a control mechanism, J. Theor. Biol, 224 (2003) 1-8.   DOI   ScienceOn
32 College Drinking (2008). http://www.collegedrinkingprevention.gov. Cited 11 May 2008.
33 S. M. Garba, A. B. Gumel, M. R. Abu Bakar, Backward bifurcations in dengue transmission dynamics, Mathematical Biosciences 215 (2008) 11-25.   DOI   ScienceOn
34 F. Brauer, C. Castillo-Chavez, Mathematical Models in Population Biology and Epidemiology, Springer-Verlay, New York, 2001.
35 H. Hethcote, The mathematics of infectious disease, SIAM Rev. 42 (2000) 599-653.   DOI   ScienceOn
36 L. Arriola, J. Hyman, Lecture notes, Forward and adjoint sensitivity analysis: with applications in Dynamical Systems, Linear Algebra and Optimization, Mathematical and Theoretical Biology Institute, Summer, 2005.
37 F. Brauer, Backward bifurcation of an epidemic model with saturated treatment function, J. Math. Anal. Appl. 348 (2008) 433-443.   DOI   ScienceOn