Mrs Toktam Akbari Khalaj, Mashhad University of Medical Sciences, Iran
Mrs. Toktam Akbari Khalaj is a distinguished Iranian biostatistician known for her rigorous research in traffic injury prediction, prehospital emergency care, and health data modeling. With over two decades of professional experience and a dynamic academic career, she has significantly contributed to public health research, especially in North-Eastern Iran. Her publications, presented in reputed journals like Heliyon and BMC Public Health, emphasize the application of advanced statistical and machine learning techniques to address real-world health challenges. She serves as a project manager and biostatistician at Emergency Medical Services, and her proactive approach to forecasting health emergencies during crises like COVID-19 has drawn national attention. Fluent in both Persian and English, Mrs. Akbari Khalaj combines analytical excellence with outstanding communication and leadership skills. Her interdisciplinary approach and practical contributions make her an exceptional nominee for the Excellence in Research Award.
Publication Profile
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Education
Mrs. Akbari Khalaj holds a Master of Science (M.Sc.) in Biostatistics from Mashhad University of Medical Sciences (2017–2021), where she conducted a thesis on forecasting ambulance dispatches for traffic accidents using time series regression models. Prior to that, she earned a Bachelor of Science (B.Sc.) in Statistics from Azad University of Mashhad (2000–2004). Her academic background provided a solid foundation in statistical modeling, data mining, and biostatistical applications in health systems. Her postgraduate training enabled her to develop specialized expertise in predictive analytics and epidemiological modeling, particularly in trauma and emergency settings. Her advanced research skills have led her to publish and collaborate across multiple health domains. She also holds a TOEFL iBT score of 101, reflecting strong English proficiency. These academic credentials, combined with her practical research, reflect her dedication to applying theoretical insights into meaningful public health solutions.
Experience
Mrs. Akbari Khalaj brings a wealth of professional experience in statistical analysis and healthcare research. She began as a statistician at Emergency Medical Services (EMS) in 2007, transitioning into a biostatistician role in 2017. Since 2021, she has served as a project manager at EMS, overseeing data-driven projects in health surveillance, prehospital care, and trauma analytics. She has also worked as a researcher at Azad University (2002–2004) and Mashhad University of Medical Sciences (2018–2022), contributing to both academic and operational research. Her expertise in handling large datasets, implementing time series and logistic regression models, and her proficiency in R, Stata, SPSS, and Power BI, make her a cornerstone in data-informed decision-making. Beyond technical prowess, she is known for her leadership in emergency response analytics and evidence-based planning, especially during mass gatherings and pandemic crises. Her multidisciplinary involvement makes her an ideal candidate for research distinction.
Awards and Honors
While specific awards or formal recognitions are not explicitly listed, Mrs. Akbari Khalaj’s academic and professional contributions reflect honor-worthy distinction. Her co-authored and first-authored publications in high-impact journals such as BMC Public Health and Heliyon indicate peer recognition and scholarly influence. She has presented at prestigious events like the International Congress on Health in Arbaeen and the International Congress on Prehospital Emergency Innovation, signifying academic acknowledgment. Her long-standing role as project manager at EMS and her collaborative research with top Iranian health institutions underscore her leadership and credibility. Notably, her involvement in managing and modeling public health emergencies, such as during COVID-19, highlights the real-world impact of her work. These accomplishments reflect an ongoing trajectory of professional recognition that aligns with the spirit of the Excellence in Research Award.
Research Focus
Mrs. Akbari Khalaj’s research is rooted in biostatistics and emergency health systems, with a core focus on time series modeling, logistic regression, and big data analytics in traffic and trauma-related health incidents. She has applied innovative statistical methods to predict ambulance dispatches, assess injury mortality, and evaluate prehospital emergency trends in urban Iran. Her work addresses the intersection of public health, emergency response, and predictive modeling, often exploring the effects of external factors like COVID-19. Additionally, she is engaged in meta-analysis, count data modeling, machine learning, and data visualization for public health monitoring. Her research is both preventive and responsive, aiming to enhance policy decisions and emergency service planning. By integrating advanced computational tools with field data, Mrs. Akbari Khalaj’s work significantly contributes to predictive healthcare and operational efficiency. Her research output supports a data-driven approach to public health crisis management.
Publication Top Notes
Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015–2019
Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice
Comparison of GAP, R-GAP, and new trauma score (NTS) systems in predicting mortality of traffic accidents that injure hospitals at Mashhad University of medical sciences
An exploration of occupational violence among emergency medical staff of a major medical university; 2020
Evaluation of Prehospital Emergency Medical Services before and after COVID-19 in Mashhad
GENERAL WIEW OF COMPARISON BETWEEN SMART BOARD & BLACK BOARD IN GENERAL MATHEMATHICS BOOK 1 & 2 AMONG IRANIAN HIGH SCHOOL
Analysis of the Patterns of Mortality Causes in Traffic Accident Injuries Using Logistic Regression Model in Northeastern Iran