Nomura, Shuhei

写真a

Affiliation

Research Centers and Institutes, Keio University Global Research Institute (Shinanomachi)

Position

Project Professor (Non-tenured)

External Links

Other Affiliation 【 Display / hide

  • National Cancer Center, Center for Public Health Sciences, Visiting Researcher

  • National Institute of Infectious Diseases, Infectious Disease Surveillance Center, Visiting Researcher

  • Osaka University, Center for Infectious Disease Education and Research (CiDER), Collaborative Researcher

  • Economist Impact, Advisory Council on Long COVID

  • Center for Asia-Pacific Resilience and Innovation (CAPRI), Senior Fellow

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Career 【 Display / hide

  • 2012.08
    -
    2012.10

    United Nations Development Programme (UNDP) Tajikistan Office, Disaster Risk Management Programme, Intern

  • 2013.04
    -
    2013.09

    The University of Tokyo, グローバルヘルス・リーダーシップ・プログラム, Fellow

  • 2014.07
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    2014.09

    World Health Organization (WHO), Policy, Practice and Evaluation Unit, Emergency Risk Management and Humanitarian Response Department, Intern

  • 2016.12
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    2024.07

    The University of Tokyo, Graduate School of Medicine, Assistant Professor

  • 2017.07
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    2020.03

    National Center for Global Health and Medicine, Institute for Global Health Policy Research (iGHP), Researcher

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Academic Background 【 Display / hide

  • 2007.04
    -
    2011.03

    The University of Tokyo, Faculty of Pharmaceutical Sciences

    University, Graduated

  • 2011.04
    -
    2013.03

    The University of Tokyo, Graduate School of Medicine, Department of Global Health Policy

    Graduate School, Completed, Master's course

  • 2013.09
    -
    2019.02

    Imperial College London, School of Public Health, Department of Epidemiology and Biostatistics

    United Kingdom, Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide

  • Master of Health Science, The University of Tokyo, Coursework, 2013.03

  • PhD in Epidemiology & Biostatistics, Imperial College London , Coursework, 2019.02

 

Research Keywords 【 Display / hide

  • Pandemic Prevention, Preparedness and Response (PPR)

  • Universal Health Coverage (UHC)

  • Global Burden of Disease (GBD)

  • Global Health Diplomacy

  • Global Health Policy

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Research Themes 【 Display / hide

  • Global Health Policy​, Global Health Diplomacy​, Global Burden of Disease (GBD)​, Universal Health Coverage (UHC)​, Non-Communicable Diseases (NCDs)​ Prevention and Control​, Nutrition Science and Policy​, Health Emergency and Disaster Risk Management (Health EDRM)​, Pandemic Prevention, Preparedness and Response (PPR), 

    2011.04
    -
    Present

 

Books 【 Display / hide

  • Response to COVID-19: A Record (Continued) <2022-2024>

    Masahiro Hashizume, Shuhei Nomura, Motoi Suzuki, Japan Public Health Association, 2024.12

    Scope: わが国における超過死亡の推定

  • 第3期「健康・医療戦略」策定に向けた提言―求められるグローバルな視点—

    「グローバルヘルスと人間の安全保障」運営委員会 有志一同, Japan Center for International Exchange, 2024.10

  • Financing Global Health 2023: The Future of Health Financing in the Post-Pandemic Era

    Angela Micah, Joseph Dieleman, Katherine Leach-Kemon, Enis Bariş, Ian E. Cogswell, Hans Elliot, Brendan Lidral-Porter, Christopher J.L. Murray, Seong Nam, Shuhei Nomura, Nishali K. Patel, Carolyn Shyong, Juan Solorio, Golsum Tsakalos, Wesley Warriner, Asrat A. Wolde, Dereje Y. Yada, Yingxi Zhao, Bianca Zlavog, 2024.05

  • An incomplete picture: understanding the burden of long Covid

    Economist Impact, Economist Impact, 2024.04

  • Modernizing Global Health Security to Prevent, Detect, and Respond

    Qudsia Huda, Erin L. Downey, Ali Ardalan, Shuhei Nomura, Ambrose Otau Talisuna, Ankur Rakesh, Elsevier, 2023.11

    Scope: Rights-based Global Health Security through all-hazard risk management

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Papers 【 Display / hide

  • The Unseen Aftermath: Associations Between the COVID-19 Pandemic and Shifts in Mortality Trends in Japan

    Hasan Jamil, Shuhei Nomura, Stuart Gilmour

    International Journal of Environmental Research and Public Health 22 ( 1 ) 74 2025.01

    Accepted,  ISSN  16617827

     View Summary

    The COVID-19 pandemic disrupted healthcare systems globally, potentially altering mortality trends for non-COVID-19 diseases, particularly in aging populations like Japan’s. Assessing these impacts is essential for responsive healthcare planning. We analyzed Japanese vital registration mortality records from January 2018 to December 2021 for adults aged 25 and older, excluding COVID-19-related deaths. Data were stratified by sex and ICD-10 cause-of-death chapters. Poisson regression models assessed changes in mortality rates and trends, incorporating pandemic-related variables and interactions between time, age group, and the pandemic term. Among the 4,920,942 deaths analyzed, 2,456,750 occurred during the pandemic years. Significant sex-specific changes in mortality trends were observed. Women experienced increases in mortality rates and trends for endocrine, nutritional, and metabolic diseases; skin and subcutaneous tissue diseases; circulatory diseases; and genitourinary diseases, reversing some pre-pandemic declines. Men showed increases in mortality trends for endocrine, nutritional, and metabolic diseases and genitourinary diseases but no significant changes for skin or circulatory diseases. These findings indicate that the pandemic differentially affected mortality trends between sexes, with women experiencing broader increases across multiple disease categories. The COVID-19 pandemic was associated with significant changes in mortality trends for certain non-COVID-19 diseases in Japan, with notable sex differences. Increased mortality among women across multiple disease categories highlights the pandemic’s indirect health impacts and underscores the need for sex-specific healthcare strategies in the post-pandemic era.

  • Cost-Benefit Analysis of Pre-Entry Tuberculosis Screening Policy: Nepalese and Japanese Perspectives

    Y Iwaki, T Hayashi, S Nomura, S Shimamura, R Gauchan, MC Huang

     2025

  • Trading-Off Privacy and Willingness to Share Personal Health Information: A Survey of Municipal Employees in Fukuoka City, Japan

    Shuhei Nomura, Yasumasa Segawa, Cyrus Ghaznavi, Takanori Fujita, Keiko Maruyama-Sakurai, Manae Uchibori, Akifumi Eguchi, Masaharu Ishigaki, Kazuto Fujiwara, Masayuki Kido, Hiroaki Miyata, Takanori Yamashita, Naoki Nakashima

    Health (Scientific Research Publishing, Inc.)  16 ( 12 ) 1315 - 1331 2024.12

    Lead author, Corresponding author, Accepted,  ISSN  1949-4998

  • Indirect and direct effects of nighttime light on COVID-19 mortality using satellite image mapping approach

    Daisuke Yoneoka, Akifumi Eguchi, Shuhei Nomura, Takayuki Kawashima, Yuta Tanoue, Masahiro Hashizume, Motoi Suzuki

    Scientific reports 14 ( 1 ) 25063 - 25063 2024.12

    ISSN  2045-2322

     View Summary

    The COVID-19 pandemic has highlighted the importance of understanding environmental factors in disease transmission. This study aims to explore the spatial association between nighttime light (NTL) from satellite imagery and COVID-19 mortality. It particularly examines how NTL serves as a pragmatic proxy to estimate human interaction in illuminated nocturnal area, thereby impacting viral transmission dynamics to neighboring areas, which is defined as spillover effect. Analyzing 43,199 COVID-19 deaths from national mortality data during January 2020 and October 2022, satellite-derived NTL data, and various environmental and socio-demographic covariates, we employed the Spatial Durbin Error Model to estimate the direct and indirect effect of NTL on COVID-19 mortality. Higher NTL was initially directly linked to increased COVID-19 mortality but this association diminished over time. The spillover effect also changed: during the early 3rd wave (December 2020 - February 2021), a unit (nanoWatts/sr/cm2) increase in NTL led to a 7.9% increase in neighboring area mortality (p = 0.013). In contrast, in the later 7th wave (July - September 2022), dominated by Omicron, a unit increase in NTL resulted in an 8.9% decrease in mortality in neighboring areas (p = 0.029). The shift from a positive to a negative spillover effect indicates a change in infection dynamics during the pandemic. The study provided a novel approach to assess nighttime human activity and its influence on disease transmission, offering insights for public health strategies utilizing satellite imagery, particularly when direct data collection is impractical while the collection from space is readily available.

  • Lifestyle differences in the metabolic comorbidity score of adult population from South Asian countries: a cross-sectional study

    Sabera Sultana, Shuhei Nomura, Chris Fook Sheng, Masahiro Hashizume

    AJPM Focus (Elsevier BV)  3 ( 6 ) 100273 - 100273 2024.12

    Accepted,  ISSN  2773-0654

     View Summary

    Introduction: Metabolic comorbidities are involved in the development and progression of noncommunicable diseases. There is convincing evidence that lifestyles are important contributors to metabolic comorbidities. This study measured the metabolic comorbidity score of South Asian adults and identified its relationship with lifestyles. Methods: The authors studied 5 South Asian countries, including Afghanistan, Bangladesh, Bhutan, Nepal, and Sri Lanka, using the World Health Organization's STEPwise approach to noncommunicable disease risk factor surveillance data between 2014 and 2019. This was a nationally representative and cross-sectional survey on participants aged 15–69 years. The sample size was 27,616. The outcome was metabolic comorbidity score, calculated on the basis of total cholesterol, fasting plasma glucose, blood pressure, and abdominal obesity. Total metabolic comorbidity score of each participant varied between 0 and 8. It was then divided into 3 ranges: the lowest range (total metabolic comorbidity score <3), medium range (total metabolic comorbidity score ≥3 and ≤5), and the highest range (total metabolic comorbidity score ≥6). On the basis of the outcome of nonparametric receiver operating characteristics analysis, the medium and the highest ranges together were considered as higher metabolic comorbidity score. The lowest range was considered as lower metabolic comorbidity score. The higher metabolic comorbidity score was coded as 1, and the lower metabolic comorbidity score was coded as 0. Thus, the outcome variable, metabolic comorbidity score, became a binary variable. Exposures included physical inactivity (<150 minutes of medium-to-vigorous physical activity/week), high daily sedentary time (≥9 hours/day), use of tobacco (present or past smoking or daily use of smokeless tobacco products), and consumption of alcohol (at least once per month in the last 1 year). Binomial logistic regression model produced the OR with corresponding 95% CIs. Results: The prevalence of higher metabolic comorbidity score was 34% among South Asian adults, 25% among the male respondents, and 41% among the female respondents. Participants who were physically inactive (OR=1.26; 95% CI= 1.17, 1.36), had high sedentary time (OR=1.24; 95% CI=1.11, 1.33), and consumed alcohol (OR=1.40; 95% CI=1.23, 1.53) showed higher metabolic comorbidity score than participants who were physically active, had low sedentary time, and did not consume alcohol respectively. However, the authors found an inverse association (OR=0.75; 95% CI=0.71, 0.81) between the use of tobacco and metabolic comorbidity score. Conclusions: One third of South Asian adults had higher metabolic comorbidity score. Physical inactivity, daily sedentary hours, and minimal alcohol consumption were associated with higher metabolic comorbidity score.

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Reviews, Commentaries, etc. 【 Display / hide

  • The importance of methodological vigilance: Reevaluating suicide trends in Japan post-2022

    Koda M., Harada N., Nomura S.

    Psychiatry and Clinical Neurosciences Reports 3 ( 2 )  2024.06

  • 空間スキャン統計量と高次元回帰モデルの接点

    川島孝行, 米岡大輔, 田上悠太, 江口哲史, 野村周平

    統計関連学会連合大会講演報告集 2023 2023

  • コロナ禍における迅速サーベイランスを用いたビッグデータ解析における機械学習・統計学的方法論の整備

    米岡大輔, 野村周平, ギルモー スチュアート, 斎藤英子, 田上悠太, 川島孝行, 史蕭逸, 江口哲史

    大和証券ヘルス財団研究業績集 46 2023

  • Inter-prefectural Travel and Network Connectedness During the COVID-19 Pandemic in Japan

    Ghaznavi Cyrus, Ghaznavi Cyrus, Yoneoka Daisuke, Yoneoka Daisuke, Tanoue Yuta, Tanoue Yuta, Gilmour Stuart, Kawashima Takayuki, Kawashima Takayuki, Eguchi Akifumi, Eguchi Akifumi, Kawamura Yumi, Miyata Hiroaki, Miyata Hiroaki, Nomura Shuhei, Nomura Shuhei, Nomura Shuhei

    Journal of Epidemiology (Web) 32 ( 11 )  2022

    ISSN  1349-9092

  • Correction to: Tracking Japan’s development assistance for health, 2012–2016 (Globalization and Health, (2020), 16, 1, (32), 10.1186/s12992-020-00559-2)

    Nomura S., Sakamoto H., Sugai M.K., Nakamura H., Maruyama-Sakurai K., Lee S., Ishizuka A., Shibuya K.

    Globalization and Health 17 ( 1 )  2021.12

     View Summary

    Following publication of the original article [1], the authors reported a conversion error that concerned the estimated amounts of development assistance for health (DAH) for 2012–2015; when the authors converted the current prices of 2012–2015 to the constant prices of 2016 using the gross domestic product (GDP) deflator, they erroneously multiplied the current prices by the GDP deflator instead of dividing them. Please find the details of this error in this correction. Firstly, the ‘Results’ in the article’s Abstract stated that “Japan’s DAH was estimated at 1,472.94 (2012), 823.15 (2013), 832.06 (2014), 701.98 (2015), and 894.57 million USD (2016) in constant prices of 2016”, while it should state that “Japan’s DAH was estimated at 853.87 (2012), 718.16 (2013), 824.95 (2014), 873.04 (2015), and 894.57 million USD (2016) in constant prices of 2016”. Secondly, the first sentence of the article’s Results section stated that “Japan’s DAH was estimated at 1, 472.94 (2012), 823.15 (2013), 832.06 (2014), 701.98 (2015), and 894.57 million USD (2016) in constant prices of 2016”, while it should state that “Japan’s DAH was estimated at 853.87 (2012), 718.16 (2013), 824.95 (2014), 873.04 (2015), and 894.57 million USD (2016) in constant prices of 2016”. In addition to the above mentioned parts of the article, the conversion error affected Table 1, Fig. 1a, Fig. 2a, and Additional file 2, for the data of 2012–2015; please find (the corrected version of) these files in this correction. The errors have now been corrected in the original article. Furthermore, the authors would like to assure the reader that the discussions proposed in their article were based on the part of the results not related to the conversion by the GBD deflator (i.e. percentage value rather than amount) and, therefore, that the miscalculated amounts of DAH mentioned above do not affect the interpretation or conclusions of the study. The authors thank you for reading this correction, and apologize for any inconvenience caused.

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • Reassessing and Utilizing Japan's Burden of Disease: Prefectural Analysis in the Post-COVID Era and the Challenge of New Methodologies

    2024.04
    -
    2027.03

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Shuhei Nomura, Grant-in-Aid for Scientific Research (A), Principal investigator

  • Natural Disasters and Health Crisis Management in the Reiwa Era: Advancing Research with a Focus on WHO Research Methodology Guidance

    2024.04
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    2027.03

    Ministry of Health, Labour and Welfare, 健康安全・危機管理対 策総合研究事業, Shuhei Nomura, Coinvestigator(s)

  • Research Towards Establishing a Multilayered Infectious Disease Surveillance System in the Era of Medical Digital Transformation

    2023.04
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    2024.03

    Ministry of Health, Labour and Welfare, 新興・再興感染症及び予防接種政策推進研究事業, Shuhei Nomura, Coinvestigator(s)

  • with/postコロナ時代の保健医療課題への疾病負荷の活用と実証分析

    2021.04
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    2024.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

  • Research on cancer risk assessment and cancer prevention guideline recommendations based on scientific evidence

    2021.04
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    2025.03

    National Cancer Center Japan, National Cancer Center Research and Development Fund, Shuhei Nomura, Coinvestigator(s)

Awards 【 Display / hide

  • Symbols of Tomorrow

    2014.09, Symbols of Tomorrow