A fractional order model that studies terrorism and corruption codynamics as epidemic disease. (April 2023)
- Record Type:
- Journal Article
- Title:
- A fractional order model that studies terrorism and corruption codynamics as epidemic disease. (April 2023)
- Main Title:
- A fractional order model that studies terrorism and corruption codynamics as epidemic disease
- Authors:
- Baba, Isa Abdullahi
Rihan, Fathalla A.
Hincal, Evren - Abstract:
- Abstract: Terrorism and corruption have extreme sequel towards developing economies. Many research studied terrorism, corruption and organized crime effect on macroeconomic aggregates in developing countries. Still, there is no enough literature on the coexistence of the duo. In this study, we formulate a fractional order mathematical model to study the dynamics of terrorism and corruption coexistence in communities. Existence, uniqueness and stability analysis of the solution of the model is shown. Numerical simulations are carried out to support the analytic results. Dynamics of different populations in the model is studied over a period of two years. Significance of terrorism transmission rate and corruption transmission rate in the propagation of terrorism and corruption is shown respectively. Recommendations are given to relevant stake holders for the most significant way to avert the spread of both terrorism and corruption.
- Is Part Of:
- Chaos, solitons and fractals. Volume 169(2023)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 169(2023)
- Issue Display:
- Volume 169, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 169
- Issue:
- 2023
- Issue Sort Value:
- 2023-0169-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04
- Subjects:
- Terrorism -- Corruption -- Existence -- Uniqueness -- Stability -- Fractional order -- Numerical simulation
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2023.113292 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26337.xml