Abdul-rahman Mumbu | Epidemiology | Best Researcher Award

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Mr. Abdul-rahman Mumbu | Epidemiology | Best Researcher Award

Lecturer | Muslim University of Morogoro | Tanzania

Dr. Abdul-Rahman Japhary Mumbu is a dedicated Lecturer in Mathematics at the Muslim University of Morogoro, Tanzania, recognized for his expertise in applied mathematics, mathematical modeling, and epidemiological systems. He holds a Bachelor of Islamic Education (Mathematics/Islamic Studies) from the Muslim University of Morogoro, a Master of Science in Mathematics from the University of Dodoma, and is currently pursuing a Ph.D. in Mathematics at the University of Dar es Salaam. His professional journey reflects progressive academic leadership, having served as an Assistant Lecturer, Examinations Officer, and active participant in numerous international workshops and conferences on infectious disease modeling, partial differential equations, and data-driven research integration. Dr. Mumbu’s research primarily focuses on mathematical modeling of infectious diseases, with notable contributions to tuberculosis, pneumonia, and rabies dynamics, employing deterministic and fractional-order approaches integrated with sensitivity and optimal control analyses. His scholarly works, published in reputable journals such as Nonlinear Science, Scientific African, and Research in Mathematics, highlight his commitment to advancing public health modeling and data-driven decision-making. With 40 citations, 4 publications, and an h-index of 2, Dr. Mumbu continues to make impactful contributions to mathematical epidemiology and interdisciplinary research collaboration.

Profiles: Scopus | Google Scholar

Featured Publications

1. Mumbu, A. J., & Hugo, A. K. (2020). Mathematical modelling on COVID-19 transmission impacts with preventive measures: A case study of Tanzania. Journal of Biological Dynamics, 14(1), 748–766.

2. Mumbu, A. (2024). Modeling dynamics and stability analysis of pneumonia disease infection with parameters uncertainties control. Mathematics Open, 3(2430001), 1–35.

3. Abdulrahman, M., James, D., Dickson, B., & Jufren, N. (2025). Mathematical modeling of culling and vaccination for dog rabies disease transmission with optimal control and sensitivity analysis approach. Clinical and Molecular Epidemiology, 2(2), 1–11.

4. Mumbu, A., Mlay, G., Mayige, M., & Shaban, N. (2025). Modeling the transmission dynamics of two-strain TB with drug-sensitive and drug-resistant in Tanzania: A fractional order approach. Scientific African, e02731.

5. Mumbu, A. R., Mlay, G., Alendal, G., Mayige, M., Senkoro, M., & Shaban, N. (2025). Fractional order derivative modelling dynamics of tuberculosis with treatment and nutrition in Tanzania. Research in Mathematics, 12(1), 2517440.

Lateef Busari | Epidemiology | Best Researcher Award

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Dr. Lateef Busari | Epidemiology | Best Researcher Award 

Researcher | Osun State University | Nigeria

Lateef Oluwatoyin Busari is a researcher at Osun State University, Nigeria, specializing in public health entomology, vector biology, medical parasitology, and neglected tropical diseases (NTDs). His research primarily focuses on vector-borne diseases, particularly onchocerciasis and malaria, with extensive work on black flies (Simulium damnosum complex) and mosquito vectors (Anopheles and Culex species) in Osun State and Southwestern Nigeria. He has authored and co-authored 14 scientific publications in reputable journals such as PLoS Neglected Tropical Diseases, PLoS ONE, Scientific Reports, Discover Animals, FUDMA Journal of Sciences, and Ife Journal of Science. His notable works include studies on black fly infectivity and community knowledge of onchocerciasis, insecticide susceptibility in mosquito populations, and larval habitat characteristics influencing mosquito breeding and distribution. Busari’s recent contributions also extend to geospatial modeling of mosquito distribution, bioethics awareness among biomedical researchers, and molecular detection of parasite infectivity in vectors, reflecting his multidisciplinary engagement in public health and ecological research. His collaborative network includes eminent scientists such as Prof. Monsuru Adeleke, Dr. Olabanji Surakat, Dr. Kamilu Ayo Fasasi, and others across Osun State University and Ladoke Akintola University of Technology. With a growing academic footprint, Busari has accumulated 31 citations, an h-index of 3, and an i10-index of 1, demonstrating his rising impact in vector research and tropical disease epidemiology. His scholarly contributions continue to enhance understanding and control strategies for vector-borne diseases in Nigeria.

1. Busari, L. O., Adeleke, M. A., Surakat, O. A., Akindele, A. A., Fasasi, K. A., & others. (2022). Black flies and Onchocerciasis: Knowledge, attitude and practices among inhabitants of Alabameta, Osun State, Southwestern, Nigeria.PLoS Neglected Tropical Diseases, 16(4), e0010320. Cited by: 15

2. Busari, L. O., Raheem, H. O., Iwalewa, Z. O., Fasasi, K. A., & Adeleke, M. A. (2023). Investigating insecticide susceptibility status of adult mosquitoes against some class of insecticides in Osogbo metropolis, Osun State, Nigeria. PLoS ONE, 18(5), e0285605. Cited by: 8

3. Busari, L. O., Ojurongbe, O., Adeleke, M. A., Surakat, O. A., & Akindele, A. A. (2021). Biting behaviour and infectivity of Simulium damnosum complex with Onchocerca parasite in Alabameta, Osun State, Southwestern, Nigeria. PLoS ONE, 16(6), e0252652. Cited by: 7

4. Adeleke, M. A., Babalola, A. S., Busari, L. O., Surakat, O. A., Rufai, A. M., Fasasi, K. A., & others. (2025). Modelling species distribution of Anopheles gambiae s.l. in Osun State using random forest modeling approach. Scientific Reports, 15(1), 16524. Cited by: 1

5. Busari, L. O., Surakat, O. A., Adeogun, A. O., Rufai, A. M., Fasasi, K. A., & Adeleke, M. A. (2025). Anopheles gambiae s.l. (Diptera: Culicidae) larval habitat and its public health implication in Osun State, Nigeria. Discover Animals, 2(1), 1–7.

Achilleas Livieratos | Infectious Diseases Vaccines | Best Researcher Award

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Dr. Achilleas Livieratos | Infectious Diseases Vaccines | Best Researcher Award

Medical Researcher | Stanford University | Greece

Dr. Achilleas Livieratos, PhD, MRSB, is a distinguished biomedical researcher whose work bridges immunology, infectious diseases, circadian biology, and artificial intelligence applications in health sciences. His research integrates advanced computational methods, including machine learning and multi-agent transformer frameworks, to enhance evidence generation, vaccine immunology, and drug safety analytics. He has published extensively in leading journals such as Vaccines, Pathogens, Viruses, eClinicalMedicine, and Value in Health, contributing to global understanding of immune response dynamics, precision medicine, and outcomes research. Notably, his development of MetaMind, an AI-driven framework for automated network meta-analyses, and his studies on circadian influences on influenza vaccine immunity have been recognized as groundbreaking contributions. His investigations into immune durability across respiratory viruses, including RSV, SARS-CoV-2, and influenza, as well as his exploration of alternative therapies for long COVID, have significantly advanced clinical and translational knowledge. As a lead collaborator with Stanford University and the University of California, San Francisco, Dr. Livieratos has directed international research initiatives on infectious disease modeling, biomarker discovery, and the application of AI in health outcomes research. His earlier work at the University of Oxford produced landmark discoveries in neurogenetics and circadian disruption, underpinning his multidisciplinary expertise. Through leadership in European Pharma and AI consortia, he continues to drive innovation in predictive health analytics and precision therapeutics, demonstrating an exceptional fusion of biomedical insight, computational innovation, and translational research impact.

Profiles : Google Scholar | Scopus

Featured Publication

Oliver, P. L., Sobczyk, M. V., Maywood, E. S., Edwards, B., Lee, S., Livieratos, A., et al. (2012). Disrupted circadian rhythms in a mouse model of schizophrenia. Current Biology, 22(4), 314–319.

Taylor, T. N., Potgieter, D., Anwar, S., Senior, S. L., Janezic, S., Threlfell, S., Ryan, B., et al. (2014). Region-specific deficits in dopamine, but not norepinephrine, signaling in a novel A30P α-synuclein BAC transgenic mouse. Neurobiology of Disease, 62, 193–207.

Wobst, H. J., Denk, F., Oliver, P. L., Livieratos, A., Taylor, T. N., Knudsen, M. H., et al. (2017). Increased 4R tau expression and behavioural changes in a novel MAPT-N296H genomic mouse model of tauopathy. Scientific Reports, 7(1), 43198.

Livieratos, A., Gogos, C., & Akinosoglou, K. (2024). Impact of prior COVID-19 immunization and/or prior infection on immune responses and clinical outcomes. Viruses, 16(5), 685.

Livieratos, A., Gogos, C., & Akinosoglou, K. (2024). Beyond antivirals: Alternative therapies for long COVID. Viruses, 16(11), 1795.