Ana Luz Cano Díaz | Infectious Diseases | Young Researcher Award

Dr. Ana Luz Cano Díaz | Infectious Diseases | Young Researcher Award

Infectious disease specialist | Instituto Mexicano del Seguro Social | Mexico

Ana Luz Cano Díaz is an infectious diseases specialist and attending physician at the Instituto Mexicano del Seguro Social, with advanced training in internal medicine, infectious diseases, and clinical research. Her expertise centers on HIV, antiretroviral therapy, hepatitis C, vaccination strategies, opportunistic infections, and infections in individuals with immune-mediated conditions. She has authored multiple peer-reviewed publications in high-impact international journals indexed in major scientific databases, contributing evidence on metabolic complications, viral coinfections, emerging infections, and real-world effectiveness of modern therapies. Her work involves multidisciplinary and international collaborations that integrate clinical care with translational research. In addition to her scientific output, she plays a key role in medical education as an adjunct professor and research mentor, guiding postgraduate trainees and strengthening clinical research capacity. Her contributions support improved patient outcomes, evidence-based public health strategies, and advancement of infectious disease care at national and global levels. She has 18 citations from 9 documents with an h-index of 2.

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Featured Publications

Rebecca Muhunuza Nalule | Infectious Diseases | Best Researcher Award

Dr. Rebecca Muhunuza Nalule | Infectious Diseases | Best Researcher Award 

Senior Lecturer | Busitema University | Uganda

Dr. Rebecca Muhumuza Nalule is an accomplished Ugandan academic and senior lecturer in Mathematics with a distinguished career dedicated to advancing applied statistics, stochastic processes, and mathematical modeling in research and education. Her scholarly contributions span areas of Bayesian inference, spatio-temporal analysis, and meta-analytic methodologies, reflecting a deep commitment to using mathematical frameworks to interpret complex data structures and support evidence-based decision-making across multidisciplinary domains. She has co-authored several peer-reviewed publications in reputable international journals, often collaborating with renowned statisticians and researchers from global institutions such as Örebro University in Sweden and Makerere University, Uganda. Her academic journey demonstrates a continuous pursuit of excellence, integrating mathematical rigor with practical applications that inform both the scientific community and policy-oriented research. Dr. Nalule has actively participated in international conferences and workshops across Europe and Africa, enhancing collaborative research networks and contributing to the global discourse on the role of mathematics in societal development. Beyond research, she has shown strong leadership in advancing women’s participation in science through her roles in regional and international organizations such as the Uganda Women Mathematicians and the Eastern Africa Network for Women in Basic Sciences. Her teaching portfolio encompasses undergraduate and postgraduate mathematics, emphasizing critical thinking, analytical skills, and research-driven pedagogy. Through her mentorship and outreach, Dr. Nalule continues to inspire a new generation of scientists and educators. Her work bridges theory and application, reflecting an enduring vision of mathematics as a transformative tool for innovation, problem-solving, and sustainable development within academia and society at large.

Profiles: Google Scholar | ORCID

Featured Publications

1. Skiadas, C. H., & Skiadas, C. (2020). Demography of population health, aging and health expenditures. Springer International Publishing.

2. Batiibwe, M. S. K., Nannyonga, B. K., Taliba, C., Nalule, R., & Puglia, C. (2020). Investigating math self-efficacy and math anxiety regarding gender, A-level math entry grade and mathematics achievement. Journal of Education and Practice

3. Bodnar, O., Muhumuza, R. N., & Possolo, A. (2020). Bayesian inference for heterogeneity in meta-analysis. Metrologia

4. Mbabazi, F. K., Osman, S., Kweyunga, E. H., Abubakar, M., Keikara, M. A., & others. (2023). An optimal control for Ebola virus disease with a convex incidence rate: Imputing from the outbreak in Uganda. Qeios.

5. Muhumuza, A. K., Mbabazi, F. K., Nalule, R. M., Mwasa, A., & others. (n.d.). Enhancing research output in higher institutions of learning: A case study of Busitema University research model. The Uganda Higher Education Review.