Shahab Reaeian | Prevention | Best Researcher Award

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Assoc Prof Dr. Shahab Reaeian | Prevention | Best Researcher Award

Academic member, Kermanshah University of Medical Sciences, Iran

Dr. Shahab Rezaeian is an esteemed epidemiologist from Iran, specializing in public health and epidemiology. With a PhD from Shiraz University of Medical Sciences, he has dedicated his career to understanding the dynamics of diseases and their impact on communities. He is currently a faculty member at Kermanshah University of Medical Sciences, contributing to the field through both research and education. 🩺📚

Publication Profile

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Education

Dr. Rezaeian earned his B.S. in Public Health from Iran University of Medical Sciences in 2007, followed by an MSc in Epidemiology from Hamadan University of Medical Sciences in 2012. He completed his PhD in Epidemiology at Shiraz University of Medical Sciences in 2016, focusing his research on the survival trends and blood demand of beta-thalassemia patients. 🎓

Experience

Dr. Rezaeian has extensive experience in epidemiological research, particularly in assessing the risk factors for various health conditions, including congenital hypothyroidism and HIV. His professional journey reflects a commitment to advancing public health through rigorous data analysis and interpretation. 💼

Research Focus

His primary research interests include epidemiological modeling, public health interventions, and the study of congenital conditions. Dr. Rezaeian aims to contribute to effective health policies and practices by analyzing health data and identifying key determinants of health outcomes. 🔬📈

Awards and Honours

Dr. Rezaeian has received several accolades for his contributions to epidemiology and public health, including recognition for his impactful research publications and involvement in various health initiatives. His work continues to inspire future generations of health professionals. 🏆

Publication Top Notes

Dr. Rezaeian has authored numerous significant publications in reputable journals, contributing to the scientific community’s understanding of epidemiology and public health. Some notable works include:

Influenza A (H1N1) in Hamedan Province, Western Iran in 2009: A Case-Control Study (2010, J Res Health Sci) – Cited by 30

Quality of Cohort Studies Reporting Post the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement (2011, Epidemiology and Health) – Cited by 50

The Quality of the Reporting of Randomized Controlled Trials after CONSORT Statement in the Prestigious Journals (2013, Shiraz E Medical Journal) – Cited by 40

Difference in the Incidence of Congenital Hypothyroidism Among World Countries (2013, Ann Saudi Med) – Cited by 20

Social Determinants of Health Associated with Self-Reported HIV Testing Among Women (2013, Iran J Public Health) – Cited by 35

Risk Factors of Congenital Hypothyroidism Using Propensity Score: A Matched Case-Control Study (2013, J Res Health Sci) – Cited by 25

Wei Meiqi | Exercise and health promotion | Best Researcher Award

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Dr. Wei Meiqi | Exercise and health promotion | Best Researcher Award

PhD Candidate, Northeast Normal University, China

Meiqi Wei is a dedicated PhD candidate specializing in Exercise and Health Promotion at Northeast Normal University. Her academic journey began with a Bachelor’s degree in Sports Medicine from Shandong First Medical University, followed by a Master’s in Exercise and Human Science from Jilin University. She is actively engaged in research at the Chinese Center of Exercise Epidemiology, focusing on the integration of Big Data and AI with health promotion. Meiqi has published several influential papers and contributed significantly to interdisciplinary projects aimed at improving public health through data-driven insights.

Profile

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Education 🎓

Meiqi Wei’s educational background is marked by a strong foundation and advanced studies in sports and health sciences. She earned her B.S. in Sports Medicine from Shandong First Medical University. This was followed by an M.S. in Exercise and Human Science from Jilin University. Currently, she is pursuing her PhD in Exercise and Health Promotion at Northeast Normal University, where she continues to develop her expertise and contribute to her field.

Experience 💼

Throughout her academic career, Meiqi Wei has gained substantial experience in both research and practical applications of exercise and health sciences. She has been actively involved as a researcher in Computational Biology at the Chinese Center of Exercise Epidemiology. Her work spans several collaborative projects and consultancy roles, highlighting her ability to apply her research to real-world health challenges. Her experience is further solidified by her contributions to numerous high-impact scientific publications.

Research Interests 🔬

Meiqi Wei’s research interests lie at the intersection of Big Data, Artificial Intelligence, and Health Promotion. She focuses on leveraging computational biology methodologies to enhance epidemiological strategies. Her work aims to transform public health practices through data-driven insights, particularly in the areas of sarcopenia, physical fitness, and frailty in older adults. Her innovative approach seeks to improve the well-being of diverse populations by integrating advanced technological solutions into health promotion.

Awards 🏆

Meiqi Wei’s contributions to her field have been recognized through multiple nominations and accolades. She has authored three first-author SCI papers and published seven articles in indexed journals, three of which she led. Additionally, she holds two patents and has been involved in several high-profile collaborative projects. These achievements underscore her commitment to advancing health promotion through rigorous and impactful research.

Publications Top Notes📄

  1. Self-determined sequence exercise program for elderly with sarcopenia: A Randomized controlled trial with clinical assistance from explainable artificial intelligence
  2. Hybrid Exercise Program Enhances Physical Fitness and Reverses Frailty in Older Adults: Insights and Predictions from Machine Learning
  3. The Effectiveness of a Hybrid Exercise Program on the Physical Fitness of Frail Elderly
  4. Hybrid Exercise Program for Sarcopenia in Older Adults: The Effectiveness of Explainable Artificial Intelligence-Based Clinical Assistance in Assessing Skeletal Muscle Area