Sunday Aloke | Mathematics | Best Researcher Award

Published on by Academic Excellence

Best Researcher Award

Sunday Aloke
David Umahi Federal University,Nigeria

Sunday Aloke
Affiliation David Umahi Federal University
Country Nigeria
Google Scholar  ID xJSAYHgAAAAJ
Documents 25
Citations 27
h-index 4
Subject Area Mathematics
Event International Academic Excellence Awards

Sunday Aloke is a mathematics researcher affiliated with David Umahi Federal University, Nigeria. His scholarly work encompasses mathematical modelling, infectious disease transmission dynamics, sensitivity analysis and the application of quantitative methods to public health challenges.His publications address epidemiological modelling of diseases including Lassa fever, HIV/AIDS, malaria and dengue, alongside research concerning academic capacity building and the utilization of data analysis software. These contributions provide the basis for considering his research profile in connection with the Best Researcher Award at the International Academic Excellence Awards.

Abstract

Sunday Aloke’s research focuses on mathematical approaches to understanding infectious disease transmission and evaluating possible intervention strategies. His scholarly contributions include epidemiological models addressing Lassa fever, HIV/AIDS, malaria and dengue. These studies employ mathematical modelling, sensitivity analysis and related analytical techniques to investigate disease dynamics and identify influential parameters. His research also extends to the application of data analysis software in academic capacity building. The reported publication and citation indicators provide a quantitative overview of his scholarly activity. His work reflects the relevance of mathematical analysis to epidemiology, public health research and evidence-based decision-making in Nigeria. [1][2]

Keywords

Mathematical modelling, Mathematics, Epidemiology, Infectious disease dynamics, Lassa fever, HIV/AIDS, Malaria transmission, Dengue modelling, Sensitivity analysis, Bifurcation analysis, Public health, Data analysis.

Introduction

Mathematical modelling is an important research discipline for investigating complex biological and epidemiological systems. It provides quantitative frameworks for examining transmission patterns, assessing intervention strategies and understanding how changes in model parameters influence disease outcomes. In Nigeria, mathematical investigations of infectious diseases are particularly relevant to public health planning and the interpretation of epidemiological conditions.

Within this research context, Sunday Aloke has contributed to studies examining infectious disease transmission through mathematical frameworks. His publications demonstrate engagement with regional epidemiological problems and analytical approaches that support the study of disease progression and control. [1][3]

Research Profile

Aloke’s research profile is primarily associated with applied mathematics and mathematical modelling. His reported publications indicate an interdisciplinary orientation connecting mathematical analysis with epidemiology, infectious disease research and academic development. His research activities involve collaborative investigations with other scholars and address problems requiring quantitative interpretation.

The available publication information identifies several recurring research interests:

  • Mathematical modelling of infectious disease transmission.
  • Sensitivity and perturbation analysis of epidemiological systems.
  • Bifurcation analysis and optimal disease control.
  • Quantitative approaches to public health challenges in Nigeria.
  • Application of data analysis software in academic capacity building.

Research Contributions

One notable contribution is the 2024 study, A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. Co-authored with Patrick A. Okpara, the research applies mathematical modelling to examine Lassa fever transmission and control within a defined Nigerian setting. The publication provides an example of the application of mathematical methods to a significant regional health concern. [1]

His collaborative research also includes a 2026 investigation of HIV/AIDS transmission dynamics through an age-structured model. This study incorporates sensitivity analysis to examine the influence of relevant parameters on disease transmission. [2]

Additional publications address malaria transmission through asymptotic perturbation and sensitivity analysis, as well as dengue infection dynamics using perturbation, bifurcation analysis and optimal control. These studies illustrate the application of mathematical techniques to different epidemiological systems. [3][4]

Publications

Selected scholarly publications associated with Sunday Aloke include:

  1. Aloke, S. N., & Okpara, P. A. (2024). A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. American Journal of Applied Mathematics, 12(2), 24–36. DOI: 10.11648/j.ajam.20241202.11
  2. Agha, C., Adagba, H. O., Aloke, S. N., Efor, T. E., Nwite, O., et al. (2026). Sensitivity analysis of an age-structured model of HIV/AIDS transmission dynamics in Nigeria through mathematical modelling. Asian Journal of Pure and Applied Mathematics, 8(1), 30–41. Publication record
  3. Aloke, S. N., Adagba, H. O., Michael, U. E., Nwite, O., Efor, T., et al. (2026). Asymptotic perturbation and sensitivity analysis of malaria transmission in Nigeria: A mathematical model. Recent Advances in Natural Sciences. Publication record
  4. Ezaka, A. N., Adagba, H. O., Aloke, S. N., Omenyi, L. O., Efor, T. E., Nwite, O., & Agha, C. (2026). Perturbation and bifurcation analysis of a primary-secondary dengue infection transmission model with explicit vector dynamics and optimal control. African Scientific Reports. Publication record
  5. Okeh, U., Okpara, P., Aloke, S., & Igwe, T. (2025). Evaluating the adoption and utilization of data analysis software packages for academic capacity building among lecturers at David Umahi Federal University of Health Sciences. Nature Journal of Emerging Sciences Technologies and Innovations, 3(2), 60–71. Publication record

Research Impact

The reported research indicators comprise 25 documents, 27 citations and an h-index of 4. These figures offer a quantitative snapshot of the researcher’s scholarly output and citation activity. His publications also demonstrate collaboration across mathematical and public health research themes. The regional focus of several studies provides an applied dimension, particularly through mathematical investigations of infectious diseases affecting Nigerian communities. Citation indicators should be interpreted in relation to publication dates, disciplinary practices and the development of an individual research portfolio.

Award Suitability

The Best Researcher Award recognizes scholarly contributions, research productivity and the relevance of academic work within a particular discipline. Sunday Aloke’s documented publications provide evidence of research engagement in applied mathematics, epidemiological modelling and quantitative public health investigations. His work on Lassa fever, HIV/AIDS, malaria and dengue demonstrates the application of mathematical techniques to important scientific and societal problems. His reported publication and citation indicators offer additional information for assessing his academic development. These documented activities provide a basis for consideration under the Best Researcher Award category at the International Academic Excellence Awards. Final recognition remains subject to the event’s independent evaluation and selection procedures.

Conclusion

Sunday Aloke’s academic profile reflects an ongoing engagement with mathematical modelling and interdisciplinary research, particularly in infectious disease transmission dynamics. His publications address epidemiological challenges through sensitivity analysis, perturbation methods, bifurcation analysis and mathematical approaches to disease control. Together with his reported scholarly indicators, these contributions establish a research record relevant to applied mathematics and public health. His profile provides a documented foundation for consideration in the Best Researcher Award category of the International Academic Excellence Awards.

References

  1. Aloke, S. N., & Okpara, P. A. (2024). A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. American Journal of Applied Mathematics, 12(2), 24–36. https://doi.org/10.11648/j.ajam.20241202.11
  2. Agha, C., Adagba, H. O., Aloke, S. N., Efor, T. E., Nwite, O., et al. (2026). Sensitivity analysis of an age-structured model of HIV/AIDS transmission dynamics in Nigeria through mathematical modelling. Asian Journal of Pure and Applied Mathematics, 8(1), 30–41. https://jofmath.com/index.php/AJPAM/article/view/249
  3. Aloke, S. N., Adagba, H. O., Michael, U. E., Nwite, O., Efor, T., et al. (2026). Asymptotic perturbation and sensitivity analysis of malaria transmission in Nigeria: A mathematical model. Recent Advances in Natural Sciences. https://rans.nsps.org.ng/index.php/rans/article/view/203
  4. Ezaka, A. N., Adagba, H. O., Aloke, S. N., Omenyi, L. O., Efor, T. E., Nwite, O., & Agha, C. (2026). Perturbation and bifurcation analysis of a primary-secondary dengue infection transmission model with explicit vector dynamics and optimal control. African Scientific Reports. https://asr.nsps.org.ng/index.php/asr/article/view/438
  5. Okeh, U., Okpara, P., Aloke, S., & Igwe, T. (2025). Evaluating the adoption and utilization of data analysis software packages for academic capacity building among lecturers at David Umahi Federal University of Health Sciences. Nature Journal of Emerging Sciences Technologies and Innovations, 3(2), 60–71. https://naturerust.com/index.php/njesti/article/view/15
  6. Google Scholar. (n.d.). Sunday Aloke – Research publications and citation profile. Google Scholar Author Profile
  7. International Academic Excellence Awards. (n.d.). Official award website. https://academicexcellenceawards.com/