Modelling corruption using modified lotka-volterra equations and its analysis: A perspective of interactions between academic staff and students / (Record no. 88260)

MARC details
000 -LEADER
fixed length control field 02836nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field KE-MeUCS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221103163905.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221103b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number
040 ## - CATALOGING SOURCE
Transcribing agency KE-MeUCS
Modifying agency KE-MeUCS
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA431.K3 2022
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kawira, Mercy
245 ## - TITLE STATEMENT
Title Modelling corruption using modified lotka-volterra equations and its analysis: A perspective of interactions between academic staff and students /
Statement of responsibility, etc Mercy Kawira
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Meru:
Name of publisher, distributor, etc Meru University of Science and Technology,
Date of publication, distribution, etc 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xiv,85 p.
520 ## - SUMMARY, ETC.
Summary, etc Corruption is a social vice that has also penetrated the institutions of higher learning just like other sectors of the economy. Corruption distorts the institutional fabrics and undermines the institutional management and governance while compromising the professional code of regulations and ethics. This study adopts the Lotka-Volterra approach to develop a model that is used to analyze the dynamics of corruption between the academic staff and students in an institution of higher learning. The Lotka-Voltera equations describes a predator-prey relationships in an ecosystem. The predator and prey competes for resources in the same habitation. Four first order non-linear ordinary differential equations were used to analyze this competition; two for the predator and the other two for the prey population. In our case, the academic staff and students are considered as the predator and prey interchangeably. These equations are further modified to describe the corruption patterns in the institution. A deterministic compartmental model consisting of corrupt academic staff, students and their non-corrupt counterparts was formulated and analyzed. The steady states were determined and their stabilities investigated using the trace and determinant conditions as well the Lyapunov criterion. A bifurcation analysis of the system was further assessed. The model exhibited three feasible steady states that are both locally asymptotically stable (LAS) and globally asymptotically stable (GAS). The numerical simulations were obtained with the aid of MATLAB and using the assumed values of the initial conditions and parameters. The variation of corrupt academic staff with time showed an increasing trend while the variation of corrupt students with time showed an increasing trend while the variation of corrupt students with time showed a decreasing behavior. Subsequently, the variation of corrupt academic staff against corrupt students indicated that the number of corrupt students declined whereas the number of corrupt academic staff increases. This dynamics of corruption among the academic staff and students implied that more focus should be geared towards the academic staff in attempt to reduce the rate of corruption.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Periodicals
Cataloguer Intern
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Cataloger Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     Meru University Meru University Periodical Section 03/11/2022 Government Printers 0.00 Intern   QA431.K3 2022 22-36012 03/11/2022 03/11/2022 Periodicals


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