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Modeling and analysis of the dynamics of an excessive gambling problem with modified fractional operator
Funding 8. Kong Y, Li T, Wang Y. (2021). Dynamics analysis
of an online gambling spreading model on scale-
None.
free networks. Adv Differ Equ. 2021; 11(2021).
https://doi.org/10.1186/s13662-020-03165-z
Conflict of interest 9. Shaffer HJ, Korn DA. Gambling and re-
lated mental disorders: a public health anal-
The authors declare they have no competing in- ysis. Annu Rev Public Health. 2002;23:171-212.
terests. https://doi.org/10.1146/annurev.publhealth.23.
100901.140532
Author contributions 10. Young SL, Tae SD. A mathematical modeling
approach to gambling among older adults. Appl
Conceptualization: Mulualem Aychluh, D.L. Math Comput. 2013;221:403-410.
Suthar https://doi.org/10.1016/j.amc.2013.05.075
Formal analysis: S.D. Purohit 11. Weiwei L, Grace PL, Asha G, et al. Impulsivity
Investigation: Clemente Cesarano trajectories and gambling in adolescence among
urban male youth. Addiction. 2013;108(4):780-
Methodology: D.L. Suthar
788. https://doi.org/10.1111/add.12049
Writing-original draft: Mulualem Aychluh, D.L.
12. Brevers D, Cleeremans A, Tibboel H, et al. Re-
Suthar
duced attentional blink for gambling-related stim-
Writing-review & editing: Clemente Cesarano,
uli in problem gamblers. J Behav Ther Exp Psy-
S.D. Purohit
chiatry. 2011;42(3):265–269.
https://doi.org/10.1016/j.jbtep.2011.01.005
Availability of data 13. Brown SL, Rodda S, Phillips JG. Differences be-
tween problem and nonproblem gamblers in sub-
Not applicable. jective arousal and affective valence amongst elec-
tronic gaming machine players. Addict Behav.
AI tools statement 2004;29(9):1863–1867.
https://doi.org/10.1016/j.addbeh.2004.03.030
All authors confirm that no AI tools were used in 14. Gupta R, Derevensky J, Marget N. Coping
the preparation of this manuscript. strategies employed by adolescents with gam-
bling problems. Child Adolesc Ment Health.
2004;9(3): 115–120.
References
https://doi.org/10.1111/j.1475-
1. Reith G. The Age of Chance: Gambling and 3588.2004.00092.x
Western Culture. New York: Routledge; 1999. 15. Michalczuk R, Bowden-Jones H, Verdejo-Garc´ıa
2. Peter F, Nigel ET. The History of Problem Gam- A, Clark L. Impulsivity and cognitive distortions
bling. Springer: New York Heidelberg Dordrecht in pathological gamblers attending the UK Na-
London; 2013 tional Problem Gambling Clinic: a preliminary
http://doi.org/10.1007/978-1-4614-6699-4 report. Psychol Med. 2011;41(12):2625–2635.
3. Skitch SA, Hodgins DC. (2004). Impulsivity, https://doi.org/10.1017/s003329171100095x
compulsivity and pathological gambling: an ex- 16. Sharpe L. A reformulated cognitive-behavioral
ploratory study of pathological gambling as an model of problem gambling: a biopsychosocial
impulsivity-compulsivity spectrum disorder. Int perspective. Clin Psychol Rev. 2002;22(1):1–25.
Gambl Stud. 2004;4(2):175–88. doi: 10.1016/s0272-7358(00)00087-8
4. Zendle D, Meyer R, Over, H. (2019). Adoles- 17. C˘at˘alin B. Understanding Your Game: A Math-
cents and loot boxes: links with problem gam- ematician’s Advice for Rational and Safe Gam-
bling and motivations for purchase. R Soc Open bling. PhilScience Press; 2022. ISBN 978-606-
Sci. 2019;6(6):190049. 9735-00-8
http://doi.org/10.1098/rsos.190049 18. Aychluh M, Suthar DL, Purohit SD. Analysis of
5. American Psychiatric Association [APA]. Diag- the nonlinear Fitzhugh-Nagumo equation and its
nostic and Statistical Manual of Mental Disorders derivative based on the Rabotnov fractional ex-
(4th ed., text revision (DSM-IV-TR)). Washing- ponential function. Partial Diff Equat Appl Math.
ton, DC; 2000. 2024;11:100764.
6. Room R, Turner NE, Ialomiteanu A. Community https://doi.org/10.1016/j.padiff.2024.100764
effects of the opening of the Niagara Casino: a 19. Ndolane S. Existence, uniqueness, and stability
first report. Addiction. 1999;94:1449–1466. analysis results for the SIR epidemic model with
http://doi.org/10.1046/j.1360- a fractional operator. In: Mathematical Methods
0443.1999.941014492.x in Medical and Biological Sciences; 2025:267-278.
7. Do TS, Lee YS. A differential equation model for https://doi.org/10.1016/B978-0-44-328814-
the dynamics of youth gambling. Osong Public 2.00020-5
Health Res Perspect. 2014;5(4):233-241.
423

