Dr. Amos Kipkorir Langat | Global Health - Jomo Kenyatta University of Agriculture and Technology,Kenya
Dr. Amos Kipkorir Langat is a visionary academic with a dynamic presence in Global Health research. His extensive work in mathematics, statistics, and epidemiology has catalyzed significant advancements in Global Health. Dr. Langat's expertise in Global Health modeling, infectious disease analytics, and climate-health intersections has made him a cornerstone in Global Health innovation. His teaching roles, supervisory leadership, and scholarly collaborations are deeply rooted in improving Global Health systems. Through interdisciplinary approaches, Dr. Langat continuously addresses pressing Global Health issues, offering policy and research-driven solutions. His impactful presence in Global Health spans academia, government advisory, and international workshops. Dr. Langat’s career stands as a beacon of commitment to solving complex Global Health challenges with statistical rigor.
AUTHOR PROFILE
EDUCATION
Dr. Langat’s academic path reflects a deep investment in Global Health. Earning his PhD in Mathematics (Statistics) from PAUSTI, with a Master’s in Applied Statistics and a Bachelor’s in Economics and Mathematics, he forged a trajectory toward solving Global Health issues using statistical methodologies. Each degree enhanced his capability to tackle complex Global Health problems through quantitative reasoning. His studies provided foundational knowledge vital to the analysis and modeling of Global Health patterns. Global Health implications were a central focus of his academic research and thesis work. His education consistently intersected with Global Health challenges, equipping him with skills to perform predictive modeling and health-based risk assessments vital to Global Health development.
PROFESSIONAL EXPERIENCE
Dr. Langat’s professional journey is a testament to his unwavering dedication to Global Health. As Head of the Centre for Climate Epidemic and Mathematical Innovation at PAUSTI, he integrates Global Health frameworks with mathematical modeling. His lectureship at JKUAT and previous positions at Maasai Mara and Kabarak University further expanded his impact on Global Health education. As a senior economist with the County Government of Bomet, he has advanced evidence-based policy grounded in Global Health data analytics. Across academia, administration, and public service, Global Health has remained the core theme. Through grant-funded projects, he supports African scholars in Global Health domains, nurturing a new generation of experts focused on Global Health equity.
RESEARCH INTEREST
Dr. Langat's research revolves around enhancing Global Health through statistical innovation. His focus on infectious disease modeling, Bayesian analysis, survival analysis, and environmental health positions him at the forefront of Global Health research. He applies functional and time-series analysis to derive actionable insights into critical Global Health trends. From maternal health to air pollution and COVID-19 transmission, each research angle aims to strengthen Global Health systems. His interdisciplinary investigations align mathematics with practical Global Health outcomes, promoting sustainable solutions. His interest in modeling HIV risk exposures and child survival statistics directly addresses Global Health priorities. Through his work, Global Health continues to benefit from advanced mathematical methodologies and evidence-led strategies.
AWARD AND HONOR
Dr. Langat has earned numerous accolades acknowledging his commitment to Global Health. Awarded the prestigious Pan African University PhD scholarship, his research focus on statistics consistently intersected with Global Health modeling. A postgraduate scholarship from the Higher Education Loan Board further propelled his Global Health studies. He has received grants from SICSS and the African Union, all directed toward Global Health and epidemiological research. These honors recognize his scholarly rigor and his strategic use of data science in Global Health innovation. As a recipient of these awards, Dr. Langat remains a critical contributor to Global Health capacity building in Africa. Each recognition reinforces his devotion to elevating Global Health research standards.
RESEARCH SKILL
Dr. Langat brings a vast repertoire of research skills centered on Global Health solutions. He is proficient in Bayesian modeling, time-series forecasting, spatial epidemiology, and multilevel regression—all tailored for Global Health applications. His technical command of tools like STATA, R, SPSS, and Python allows him to analyze massive Global Health datasets. Through modeling infectious diseases, climate-health linkages, and health system inefficiencies, he elevates Global Health analytics. His mastery in measurement error correction and hierarchical modeling further enhances Global Health projections. His skills empower decision-makers with real-time insights for Global Health interventions. Each statistical tool in his arsenal contributes to addressing urgent Global Health disparities across diverse populations.
PUBLICATIONS
Dr. Langat has authored over 30 impactful publications on Global Health. His studies cover topics like COVID-19 impact, maternal health, air pollution, child survival, and spatial regression—all centered on enhancing Global Health understanding. Journals like Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine and Surgery have featured his Global Health research. His work on infectious diseases, Bayesian modeling, and data-driven interventions supports critical decision-making in Global Health policy. Many articles are collaborative efforts with international researchers, reinforcing Global Health knowledge networks. Each publication advances the field of Global Health by transforming complex data into actionable public health solutions rooted in mathematical precision.
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Title: Spatial epidemiology based on the analysis of COVID-19 in Africa
Authors: Joyce Akhalakwa Mukolwe, John Kamwele Mutinda, Amos Kipkorir Langat
Journal: Scientific African
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Title: Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
Authors: John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili, Ayesha Ikram
Journal: International Journal of Mathematics and Mathematical Sciences
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Title: Fighting the Monkeypox in Rwanda, An overview of current state and future recommendations
Authors: Amos Kipkorir Langat, M.A. Rusho, E. Byiringiro, G.Y. Scott, A. Alhassan, V.K. Cyubahiro, C. Tague, E. Kihanduka, M. Nkeshimana, A. Akilimali
Journal: New Microbes and New Infections
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Title: Mixed Effects and Semi-Parametric Bayesian Integration Models for Measurement Error Correction in the Context of Fertilizer Application Levels: A Simulation Study
Authors: Amos Kipkorir Langat, Samuel Musili Mwalili, Lawrence Ndekeleni Kazembe
Journal: Communications in Mathematical Biology and Neuroscience
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Title: Modeling the Impact of Air Pollution and Meteorological Variables on COVID-19 Transmission in Western Cape, South Africa
Authors: John Kamwele Mutinda, Amos Kipkorir Langat
Journal: International Journal of Mathematics and Mathematical Sciences
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Title: Hierarchical Bayesian Semi-Parametric Models for Measurement Error Correction in Determining Optimal Fertilizer Application Levels
Authors: Amos Kipkorir Langat, Samuel Musili Mwalili, Lawrence Ndekeleni Kazembe
Journal: Scientific African
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Title: Stock Price Prediction Using Combined GARCH-AI Models
Authors: John Kamwele Mutinda, Amos Kipkorir Langat
Journal: Scientific African
CONCLUSION
Dr. Amos Kipkorir Langat embodies a lifelong commitment to Global Health. His multidisciplinary approach integrates mathematics, statistics, and public policy to confront Global Health issues with clarity and innovation. From mentoring graduate students to shaping international research forums, his mission remains enhancing Global Health equity and resilience. He continuously leverages research, education, and collaboration to support sustainable Global Health systems. By embedding rigorous statistical analysis into every phase of his work, Dr. Langat ensures that Global Health challenges are met with scientifically grounded solutions. His legacy will persist through impactful research, strategic partnerships, and his unrelenting pursuit of excellence in Global Health scholarship.