Dr. Janicke’s research efforts have focused on building a successful program of research related to pediatric obesity, including a specific emphasis on translation and dissemination of treatments for pediatric obesity, psychosocial adjustment of overweight and obese youth, family and environmental factors impacting healthy and unhealthy weight loss behaviors, and health…
Dr. Wiens’ research primarily focuses on program evaluation for school mental health programs and violence and substance use prevention efforts in the Columbia County School District. She also conducts research on child and adolescent peer victimization and aggression, as well as adolescent substance use and other risky behavior. Dr. Wiens…
Dr. Romero utilizes modern test theory methodologies to develop, evaluate, and improve clinical/research outcome measures and patient reported outcome measures. He is particularly interested in rehabilitation outcome measures to evaluate patients with mobility deficits leading to falls. Dr. Romero utilizes Item Response Theory to evaluate existing instruments and develop new…
Dr. Perri’s research focuses on health promotion and disease prevention through changes in diet and physical activity. His current studies involve the development of effective programs for the management of obesity in underserved rural communities. The empirical findings from the 16 randomized controlled trials conducted by Dr. Perri’s research team…
Dr. Gray’s current research interest include emerging infectious diseases, zoonotic infections, clinical trials, rapid diagostics, epidemiology of respiratory infections, adenovirus infections, influenza, human metapneumovirus, group A streptococcal infections, vaccinology, public health among military populations, and tropical infectious diseases.
Dr. Harle’s research focuses on understanding how patients, consumers and health care professionals perceive and use health information and information technology. He draws on theory and methods from behavioral decision making, risk communication and machine learning in order to improve information systems that support health-related decision making. This research has…
