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Keisuke Ejima江島 啓介
Nanyang Technological University, Singapore
Academic titlePh.D.
InterestsInfectious diseases, Nutrition, Obesity, Mathematical models, Statistical models
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Education
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- PHD | 2014 | INFORMATION SCIENCE & TECHNOLOGY | THE UNIVERSITY OF TOKYO | JAPAN
- “Mathematical Modeling of Disease Transmission Dynamics with Data Generating Processes”, Advisor: Kazuyuki Aihara
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- MS | 2011 | INFORMATION SCIENCE & TECHNOLOGY | THE UNIVERSITY OF TOKYO | JAPAN
- “Modeling and Analysis of Spreads of Infectious Diseases on the Basis of Human Behavior”
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- BE | 2009 | ECONOMICS | THE UNIVERSITY OF TOKYO | JAPAN
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Career
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- ASSISTANT PROFESSOR | RESPIRATORY&INFECTIOUS DISEASES | LEE KONG CHIAN SCHOOL OF MEDICINE | NANYANG TECHNOLOGICAL UNIVERSITY | 2022 – PRESENT
- Application of viral dynamics model for epidemiology and clinical science.
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- VISITING SCHOLAR, ASSISTANT RESEARCH SCIENTIST | DEPARTMENT OF EPIDEMIOLOGY AND BIOSTATISTICS | INDIANA UNIVERSITY SCHOOL OF PUBLIC HEALTH | 2017-2022
- Assessment of the performance of measurement error correction approaches for self-reported nutrition intake. Assessment of association between BMI trajectory and mortality.
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- VISITING SCHOLAR | NUTRITION AND OBESITY RESEARCH CENTER | THE UNIVERSITY OF ALABAMA AT BIRMINGHAM | 2014-2017
- Development of a mathematical model to predict the prevalence of obesity in the US. Assessment of the predictive ability of mortality of obesity staging systems.
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- RESEARCH ASSISTANT | DEPARTMENT OF GLOBAL HEALTH POLICY | THE UNIVERSITY OF TOKYO GRADUATE SCHOOL OF MEDICINE | 2014
- Assessment of effectiveness of interventions (e.g., vaccine) to infectious diseases (flue, measles, dengue). Quantification of epidemiological characteristics (e.g., incubation period) of infectious diseases.
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- TECHNICAL ASSISTANT, RESEARCH FELLOW | THE UNIVERSITY OF TOKYO INSTITUTE OF INDUSTRIAL SCIENCE | 2010 – 2014
- Development of simulator of influenza pandemic in Tokyo metropolitan area.
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- Nomura S (co-first), Yoneoka D, Shi S, Tanoue Y, Kawashima T, Eguchi A, Matsuura K, Makiyama K, Uryu S, Ejima K, Sakamoto H, Taniguchi T, Kunishima H, Gilmour S, Nishiura H, Miyata H. Assessing the regional impact of Japan's COVID-19 state of emergency declaration: a population-level observational study using social networking services. BMJ Open. 2021; 11(2): e042002.
- Nomura S, Yoneoka D, Shi S, Tanoue Y, Kawashima T, Eguchi A, Matsuura K, Makiyama K, Ejima K, Taniguchi T, Sakamoto H, Kunishima H, Gilmour S, Nishiura H, Miyata H. An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency? The Lancet Regional Health – Western Pacific. 2020; 1: 100011.
- Nomura S(co-first), Eguchi A, Yoneoka D, Shi S, Tanoue Y, Kawashima T, Matsuura K, Makiyama K, Ejima K, Gilmour S, Nishiura H, Miyata H. Trend change of the transmission route of COVID-19-related symptoms in Japan. Public Health. 2020 Oct;187:157-160.