Xinjiang Medical University | China
Author Profile
Scopus
Orcid ID
Jaina Razbek, Ph.D. Candidate 🩺📊
Pioneering Research in Tuberculosis Prevention and Genetic Epidemiology
EARLY ACADEMIC PURSUITS 🎓
Jaina Razbek embarked on her academic journey with a strong foundation in public health and epidemiology. She is currently pursuing her doctoral studies at the Department of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University. Her early academic training provided her with the skills to analyze disease patterns, conduct large-scale epidemiological studies, and develop statistical models for public health interventions.
PROFESSIONAL ENDEAVORS & RESEARCH PROJECTS 🔬📚
Jaina's research primarily focuses on tuberculosis prevention and control, genetic epidemiology, and health economic evaluations. She has actively contributed to various prestigious research projects, playing critical roles in data organization, statistical analysis, and causal inference modeling.
Notable Research Projects:
🔹 Health Economic Evaluation of Early Screening and Preventive Treatment for Latent Tuberculosis Infection (2023-2025): Investigating cost-effectiveness models for TB prevention strategies.
🔹 Evaluation of Tuberculosis Prevention Models in Southern Xinjiang (2023-2024): Analyzing key intervention factors using cohort and implementation science frameworks.
🔹 Causal Effect Evaluation of the ‘Xinjiang Model’ for TB Prevention (2025-2028): Studying the impact of TB control policies through RE-AIM and stepped-cluster randomized trials.
🔹 Role of Vitamin D in Latent Tuberculosis Infection (2021-2024): Conducting causal inference studies on the effects of vitamin D in TB progression.
CONTRIBUTIONS & RESEARCH FOCUS ON EPIDEMIOLOGY🔍📖
Jaina’s research has significantly contributed to understanding the genetic and epidemiological factors influencing tuberculosis and metabolic diseases. Her studies focus on:
✅ Tuberculosis Prevention & Control – Developing early screening methods and evaluating intervention effectiveness.
✅ Genetic Polymorphisms & Disease Susceptibility – Examining the role of vitamin D receptor gene polymorphisms in TB.
✅ Public Health Strategies – Enhancing disease prevention strategies through statistical modeling and health economics.
✅ Epidemiological Methods & Causal Inference – Applying advanced statistical frameworks to investigate complex disease mechanisms.
IMPACT & INFLUENCE 🌍
Jaina's research has played a vital role in shaping tuberculosis prevention strategies in high-incidence regions like Xinjiang. Her contributions to causal inference in genetic epidemiology have furthered the understanding of gene-disease interactions, helping predict disease susceptibility and treatment responses.
Her involvement in major national and provincial-level research projects underscores her ability to bridge theoretical epidemiology with practical public health solutions.
ACADEMIC CITATIONS & SCHOLARLY OUTPUT 📑
Jaina Razbek has published multiple high-impact research papers in SCI-indexed journals, demonstrating her scholarly excellence. Some of her most notable publications include:
📄 Vitamin D Receptor Gene Polymorphisms Differentiated Between Tuberculosis Disease and Infection – Published in Infection and Drug Resistance (2024).
📄 Association of Serum Levels of TNF-α, IL-10, IFN-γ, and CXCL5 with Latent Tuberculosis – Published in Infection and Drug Resistance (2024).
📄 Causal Association Study of Metabolic Syndrome Development Using Longitudinal Data – Published in Scientific Reports (2024).
📄 Dynamic Progression and Risk Assessment of Metabolic Syndrome Using a Multi-State Markov Model – Published in Diabetes, Metabolic Syndrome, and Obesity (2022).
📄 Xinjiang Metabolic Syndrome Risk Prediction Model Using Interpretable Models – Published in BMC Public Health (2022).
These contributions have earned her widespread recognition, with citations in public health and epidemiology research worldwide.
LEGACY & FUTURE CONTRIBUTIONS 🔮
Jaina Razbek's research has laid the groundwork for improving tuberculosis prevention strategies through genetic and economic evaluations. Moving forward, she aims to:
🌟 Advance the field of epidemiological modeling for infectious diseases.
🌟 Develop precision medicine approaches for tuberculosis based on genetic susceptibility markers.
🌟 Integrate AI-driven analytics into public health decision-making.
🌟 Mentor future epidemiologists and expand global collaborations in disease prevention research.
CONCLUSION 🏆
Jaina Razbek is an emerging leader in epidemiology and public health research, with a deep commitment to disease prevention and health policy optimization. Her innovative research, impactful publications, and dedication to public health continue to shape the future of tuberculosis control and epidemiological science.
NOTABLE PUBLICATIONS📑
"Causal association study of the dynamic development of the metabolic syndrome based on longitudinal data"
- Authors: Razbek, J. , Bao, L. , Zhang, Y. , Daken, M. , Cao, M.
- Journal: Scientific Reports
- Year: 2024
"Vitamin D Receptor Gene Polymorphisms Differentiated Between Tuberculosis Disease and Infection: Causal Association Study"
- Authors: Razbek, J. , Chen, Y. , Yang, J. , Aili, A. , Cao, M.
- Journal: Infection and Drug Resistance
- Year: 2024
"Association Studies of Serum Levels of TNF-α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts"
- Authors: Razbek, J. , Daken, M. , Chen, Y. , Wang, X. , Cao, M.
- Journal: Infection and Drug Resistance
- Year: 2024
"Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome"
- Authors: Zhang, Y. , Zhang, X. , Razbek, J. , Daken, M. , Cao, M
- Journal:BMC Endocrine Disorders
- Year: 2022
"Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models"
- Authors: Zhang, Y. , Razbek, J. , Li, D. , Zhang, X. , Cao, M.
- Journal: BMC Public Health
- Year: 2022