https://journals.itb.ac.id/index.php/cbms/issue/feed Communication in Biomathematical Sciences 2025-04-08T16:32:43+07:00 Prof.Dr. Edy Soewono esoewono@itb.ac.id Open Journal Systems <p><a href="https://journals.itb.ac.id/index.php/cbms"><img class="imgdesc" src="https://journals.itb.ac.id/public/site/images/budini/cbms-small.png" alt="" width="189" height="265" /></a></p> <p style="text-align: justify;"><strong>Communication in Biomathematical Sciences</strong> welcomes full research articles in the area of <em>Applications of Mathematics in biological processes and phenomena</em>. Review papers with insightful, integrative and up-to-date progress of major topics are also welcome. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.</p> <p style="text-align: justify;">Review articles describing recent significant developments and trends in the fields of biomathematics are also welcome.</p> <p style="text-align: justify;">The editorial board of CBMS is strongly committed to promoting recent progress and interdisciplinary research in Biomatematical Sciences.</p> <p style="text-align: justify;"><strong>Communication in Biomathematical Sciences published by <a href="https://biomath.id/" target="_blank" rel="noopener">The Indonesian Biomathematical Society</a>.</strong></p> <p>e-ISSN: <a href="https://portal.issn.org/resource/ISSN/2549-2896" target="_blank" rel="noopener">2549-2896</a></p> <p><strong>Accreditation:</strong></p> <p>1. <a href="https://lppm.itb.ac.id/wp-content/uploads/sites/55/2021/12/Hasil_Akreditasi_Jurnal_Nasional_Periode_1_Tahun_2020.pdf" target="_blank" rel="noopener">No. 85/M/KPT/2020</a> (Vol. 1, No. 1, 2007 - Vol. 4, No. 2, 2021)</p> <p>2. <a href="https://drive.google.com/file/d/1PHCIyw3IRd3q1ICJ9FhoNbuG0797xtJK/view?usp=sharing">No. 169/E/KPT/2024</a> (Vol. 4, No. 1, 2021 - present)</p> https://journals.itb.ac.id/index.php/cbms/article/view/25332 A fractional optimal control model of electoral behavior in a multi-party democracy 2025-04-08T16:32:43+07:00 Binandam Stephen Lassong stephenlasong@yahoo.com Shaibu Osman shaibuo1010@gmail.com John Christian Etwire ectwire@cktutas.edu.gh Douglas Kwasi Boah dboah@cktutas.edu.gh Munkaila Dasumani munkaila5@gmail.com <p>Political participation is a cornerstone that enables citizens to shape their nation’s political<br>system in every democratic environment. Registering on electoral lists, joining the political party<br>of choice, and voting during the election collectively contribute to the selection of representatives<br>for political positions. In the current work, we propose a fractional optimal control strategy for<br>an awareness program aimed at increasing the number of registered voters who vote during the<br>election. To accurately capture a number of desirable qualities such as non-locality and nonsingularity in the kernel, we employ the Atangana-Baleanu derivative. In addition, the existence<br>and uniqueness of the solutions of the model are established. The political party reproduction<br>number is also achieved. The stability of the model is demonstrated through the Hyers-Ulam<br>stability criteria. The model is validated using empirical data from the 2020 Ghana presidential<br>elections. We considered controls: the awareness campaign effort– this control represents the<br>resources dedicated to motivate registered voters to join the political party P1 and cast their votes<br>during an election; the persuasion effort– this control measures the effort required to persuade<br>registered voters to change their allegiance to party P2 and participate in the election; and the<br>electoral campaign effort– this control focuses on convincing non-participating registered voters<br>to support a political party by joining and voting during an election. Our findings indicate that<br>implementing all three control measures is crucial to increasing voter participation in elections.<br>This multifaceted approach will not only increase the participation rate, but will also have a<br>significant political impact. Again, this will help reduce the number of registered voters who do<br>not cast their ballots, making the elections more representative and inclusive. By focusing on<br>these three control areas, we can address the underlying issues that lead to low voter turnout.</p> Copyright (c) https://journals.itb.ac.id/index.php/cbms/article/view/25317 Modelling the Transmission Dynamics of Malaria in Human and Non-human Hosts 2025-04-01T15:17:15+07:00 Joel Ndam ndamj@unijos.edu.ng <p>Malaria has been a global health menace for long, affecting mainly countries in Asia and Africa, especially the Sub-Saharan Africa. Recent investigations indicate that malaria can also affect non-human primates, which poses a threat to the current efforts towards eradicating malaria. With this new development, a continuous resurgence of the disease is possible if not contained in non-human primates. This work therefore aims at modelling the transmission dynamics of malaria incorporating non-human population hitherto not adequately addressed. A compartmental model consisting of ten compartments is formulated. The basic reproduction number is determined using the next generation matrix approach. The local and global stability analysis of the malaria-free equilibrium as well as the numerical simulations of the model equations are carried out. The results show that the malaria-free equilibrium is conditionally locally asymptotically stable for $R_{0hav}&lt;1$, indicating that the disease can be contained subject to fulfilling the stated conditions. The results of the theoretical analysis also shows that the malaria-free equilibrium state is also globally asymptotically stable when $R_{0hav}&lt;1$. Numerical results indicate that even in the absence of malaria in the human population, the disease still persists in the vector and non-human animal populations. The implications of the results of this research are that managing malaria in human population alone cannot lead to the eradication of the disease, hence the scope of treatment and other control strategies must be extended to non-human primates. Eliminating the malaria causing vectors remains the best strategy towards eradicating malaria in endemic regions.</p> Copyright (c) https://journals.itb.ac.id/index.php/cbms/article/view/25287 The Optimal Control Analysis of Insecticide Susceptibility Status on Anopheles-gambiae Mosquitoes and the Community Knowledge on Malaria in Nigeria 2025-03-23T12:36:58+07:00 Adamu Gambo adamu.gambo@naub.edu.ng Ibrahim Isa Adamu ibrahimadamu.iia@gmail.com Holy-Heavy Msirati Balami holyheavy45@yahoo.com Usman Alhaji Mohammed ahlul_baity@yahoo.com Ahmed Kawu Dotia dotia.kawu@naub.edu.ng Husseini Abdulmumini abdulmumini.husseini@naub.edu.ng Amidu Akinola Oyebanjo oyebanjo.amidu@naub.edu.ng <p>This study investigates the insecticide susceptibility status of Anopheles gambiae mosquitoes in Nigeria, and assesses community knowledge on malaria prevention and control. Using optimal control analysis, which subdivides the model into seven (7) compartments, aims to understand the dynamics of mosquito resistance and its implications for malaria transmission. The findings show that combining three control strategies combats malaria more effectively than applying a single control. Furthermore, the study employed a mathematical model to examine the resistance patterns of Anopheles gambiae mosquitoes to commonly used insecticides and evaluated the community's awareness and practices related to malaria prevention. By incorporating control techniques into the model equations, the paper identifies malathion, propoxur, and permethrin as key interventions that could enhance the effectiveness of existing malaria control techniques. Finally, the findings suggest the need to modify insecticide tactics and improve educational initiatives in order to combat the spread of malaria in Nigeria</p> Copyright (c) https://journals.itb.ac.id/index.php/cbms/article/view/25203 Exploring the Squared XLindley Distribution: Improved Statistical Modeling and Estimation Methods with Application to the Ebola Dataset 2025-03-04T18:50:51+07:00 Meriem Bouhadjar hzeghdoudi@yahoo.fr halim zeghdoudi halimzeghdoudi77@gmail.com Naim BOUDJELIDA halim.zeghdoudi@univ-annaba.dz <p>This paper presents the Squared XLindley (SXL) distribution, which serves as an extension of the XLindley distribution. Several essential statistical characteristics of the proposed distribution were identified and rigorously analyzed through comprehensive analytical techniques. The fuzzy reliability of the SXL model was systematically assessed using statistical methods, confirming its robustness and precision.<br>Various estimation techniques were proposed to accurately ascertain the parameters of the model, demonstrating its adaptability. The dynamics of these parameters were extensively investigated using data sets generated randomly along with the employed estimation techniques, yielding profound insights into the performance of the model across diverse scenarios.<br>Moreover, the SXL model was utilized in the analysis of the Ebola data set. The findings revealed the model’s superior performance relative to the fundamental XLindley model and several others well-established related distributions, highlighting its practical relevance and effectiveness in analyzing real-world data. This<br>research emphasizes the SXL distribution’s potential utility as a significant instrument in statistical modeling and analysis</p> Copyright (c)