Peter Asaga Mac | Infectious diseases | Best Researcher Award

Published on by Global Diseases Research

Dr. Peter Asaga Mac | Infectious diseases | Best Researcher Award 

Senior clinical research fellow | University Hospital Freiburg | Germany

Dr. Peter Asaga Mac is a dedicated researcher at Universitätsklinikum Freiburg, Freiburg im Breisgau, Germany, specializing in infectious and zoonotic diseases. His scientific work focuses on understanding the epidemiology, immune response, and transmission dynamics of emerging viral infections, particularly mosquito-borne diseases such as Chikungunya and Dengue. Through a combination of field-based studies, serological analyses, and molecular surveillance, Dr. Mac investigates how co-circulating arboviruses interact within populations and contribute to public health challenges in endemic regions, especially in Africa. His notable publication, “An Undetected Expansion, Spread, and Burden of Chikungunya and Dengue Cocirculating Antibodies in Nigeria” (Zoonotic Diseases, 2024), provides valuable insight into the unnoticed expansion of these viruses and their long-term implications for disease control strategies. Dr. Mac’s research is characterized by its translational value—bridging scientific discovery with actionable health interventions to improve epidemic preparedness and response. His collaborations with international scientists strengthen global efforts to monitor zoonotic threats and develop more resilient surveillance systems. Despite being an early-career researcher, his contributions are gaining recognition within the academic community. With 3 publications, 14 citations  and an h-index of 2, Dr. Mac’s growing academic footprint reflects his potential to make lasting contributions to infectious disease research, particularly in the areas of viral immunology, epidemiological modeling, and global health resilience. His commitment to evidence-based solutions continues to shape a better understanding of emerging diseases and their impact on human health worldwide.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Chackalackal, D. J., Al-Aghbari, A. A. A., Jang, S. Y., Ramirez, T. R., Vincent, J., Joshi, A., et al. (2021). The Covid-19 pandemic in low- and middle-income countries: Who carries the burden? Review of mass media and publications from six countries. Pathogens and Global Health, 115(3), 178–187.
Cited by: 49

2. Mac, P. A., Suleiman, A. C., & Airiohuodion, P. E. (2019). High prevalence of hepatitis B virus infection among pregnant women attending antenatal care in Central Nigeria. Journal of Infectious Diseases and Epidemiology, 5(1), 068.
Cited by: 34

3. Mac, P. A., Asheadzi, H. F., Gideon, A., Thaker, P., & Airiohuodion, P. (2019). Prevalence of Plasmodium falciparum among Nigerians in Abuja and Central States: A comparative analysis of sensitivity and specificity using rapid diagnostic test and microscopy. International Journal of Tropical Diseases, 1, 014.
Cited by: 22

4. Mac, P. A., Kroeger, A., & Airiohuodion, P. E. (2019). Needs assessment of emergency medical and rescue services in Abuja/Nigeria and environs. BMC Emergency Medicine, 19(78), 8.
Cited by: 21

5. Mac, P. A., Airiohuodion, P. E., Yako, A. B., et al. (2022). The seroprevalence and hidden burden of chikungunya endemicity and malaria mono- and coinfection in Nigeria. International Journal of Environmental Research and Public Health, 19(15), 8896.
Cited by: 19

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

Published on by Global Diseases Research

Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4