基本信息
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职业迁徙
个人简介
Areas of Interest:
Epidemiologic and Causal Inference Methods
Predictive Modeling and Health Forecasting
Computational Modeling and Simulations aka Systems Science
Cost-effectiveness Analysis and Decision Analysis
Evidence Synthesis and Integration
Comparative Effectiveness Research
Quasi- and Natural experiments
Randomized Controlled Trials and Pragmatic Trials
Clinical Preventive Services
Evidence-Based Primary Care
Dr. Nianogo’s research strives to help reduce the burden of preventable chronic diseases, promote the health and wellbeing of patients and populations, especially those most vulnerable, and assist clinical, public health and policy decision-making. To this end, Dr. Nianogo has developed research interests that are both methodological and substantive in nature. Methodologically, his research interests involve the development and application of cutting-edge epidemiologic and causal inference methods, as well as computational modeling and simulation tools (aka systems science) for translating research evidence into effective clinical, public health and policy interventions. Substantively, Dr. Nianogo’s work has focused on the improvement of the quality of healthcare, the reduction of health disparities and the prevention and treatment of chronic diseases such as cardiovascular diseases, diabetes and obesity both globally and in the U.S.
Epidemiologic and Causal Inference Methods
Predictive Modeling and Health Forecasting
Computational Modeling and Simulations aka Systems Science
Cost-effectiveness Analysis and Decision Analysis
Evidence Synthesis and Integration
Comparative Effectiveness Research
Quasi- and Natural experiments
Randomized Controlled Trials and Pragmatic Trials
Clinical Preventive Services
Evidence-Based Primary Care
Dr. Nianogo’s research strives to help reduce the burden of preventable chronic diseases, promote the health and wellbeing of patients and populations, especially those most vulnerable, and assist clinical, public health and policy decision-making. To this end, Dr. Nianogo has developed research interests that are both methodological and substantive in nature. Methodologically, his research interests involve the development and application of cutting-edge epidemiologic and causal inference methods, as well as computational modeling and simulation tools (aka systems science) for translating research evidence into effective clinical, public health and policy interventions. Substantively, Dr. Nianogo’s work has focused on the improvement of the quality of healthcare, the reduction of health disparities and the prevention and treatment of chronic diseases such as cardiovascular diseases, diabetes and obesity both globally and in the U.S.
研究兴趣
论文共 41 篇作者统计合作学者相似作者
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Diabetes research and clinical practice (2024): 111576-111576
Preventive Medicine (2024): 107857-107857
Archives of Gerontology and Geriatricspp.105487, (2024)
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFMno. 1 (2024): 101217-101217
DIABETES RESEARCH AND CLINICAL PRACTICE (2024)
The Lancet Regional Health. Americas (2023): 100565-100565
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