(Updated on: 17th, October, 2019)
水本 憲治, M.D., MPH, Ph.D.

E-mail: mizumoto.kenji.5a(at)kyoto-u.ac.jp.SPAM
(when you send me an e-mail, please replace (at) by @ and remove ".SPAM").
Researcher profile: ORCID, Google Scholoar, Research Gate,

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職歴 (Research)


  1. Mizumoto K, Tariq A, Roosa K, Kong J, Yan P, Chowell G.: Spatial variability in the reproduction number of Ebola virus disease, Democratic Republic of the Congo, January–September 2019. Euro Surveill. 2019;24(42):pii=1900588. (doi: 10.2807/1560-7917.ES.2019.24.42.1900588.)[doi]
  2. Tariq A, Roosa K, Mizumoto K, Chowell G.: Assessing reporting delays and the effective reproduction number: The 2018-19 Ebola epidemic in DRC, May 2018-January 2019. EPIDEMICS. 2019;26:128-133. (doi: 10.1016/j.epidem.2019.01.003.)[doi]
  3. Chowell G, Mizumoto K, Juan B, Silvestro P, Charles P.: Assessing the potential impact of vector-borne disease transmission following heavy rainfall events: A mathematical framework. Philosophical Transactions B. 2019;374:20180272. (doi:10.1098/rstb.2018.0272.)[doi]
  4. Dahal S, Mizumoto K, Bolin B, Viboud C, Chowell G.: Natailty decline and Spatial Variation in Excess Death Rates During the 1918-1920 Influenza Pandemic in Arizona, USA. Am J Epidemiol. 2018;187:2577-2584. (doi:10.1093/aje/kwy146)[doi]
  5. Mizumoto K, Kobayashi T, Chowell G: Transmission potential of modified measles during an outbreak, Japan, March–May 2018. Euro Surveill. 2018;23(24):pii=1800239. (doi:10.2807/1560-7917.ES.2018.23.24.1800239)[doi]
  6. Dahal S, Jenner M, Dinh L, Mizumoto K, Viboud C, Chowell G: Excess mortality patterns during 1918-1921 influenza pandemic in the state of Arizona,USA. Annals of Epidemiology. 2017;pii:S1047-2797:30682-8. (doi: 10.1016/j.annepidem.2017.12.005)[doi]
  7. Nishiura H, Mizumoto K, Asai Y: Assessing the transmission dynamics of measles in Japan, 2016. Epidemics. 2017;20:67-72. (doi: 10.1016/j.epidem.2017.03.005.)[doi]
  8. Dinh L, Chowell G, Mizumoto K, Nishiura H: Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016. Theor Biol Med Model. 2016;13:20. (doi: 10.1186/s12976-016-0046-1.)[doi]
  9. Nah K, Mizumoto K, Miyamatsu Y, Yasuda Y, Kinoshita R, Nishiura H: Estimating risks of importation and local transmission of Zika virus infection. PeerJ. 2016;4:e1904. [journal]
  10. Nishiura H, Mizumoto K, Villamil-Gomez WE, Rodriguez-Morales AJ: Preliminary estimation of the basic reproduction number of Zika virus infection during Colombia epidemic, 2015-2016. Travel Med Infect Dis. 2016;14:274-6. (doi: 10.1016/j.tmaid.2016.03.016)[doi]
  11. Nishiura H, Mizumoto K, Rock KS, Yasuda Y, Kinoshita R, Miyamatsu Y: A theoretical estimate of the risk of microcephaly during pregnancy with Zika virus infection. Epidemics. 2016;15:66-70. (doi: 10.1016/j.epidem.2016.03.001.)[doi]
  12. Nishiura H, Kinoshita R, Mizumoto K, Yasuda Y, Nah K: Transmission potential of Zika virus infection in the South Pacific. Int J Infect Dis. 2016;45:95-7. (doi: 10.1016/j.ijid.2016.02.017.)[doi]
  13. Nishiura H, Endo A, Saitoh M, Kinoshita R, Ueno R, Nakaoka S, Miyamatsu Y, Dong Y, Chowell G, Mizumoto K: Identifying determinants of heterogeneous transmission dynamics of the Middle East respiratory syndrome (MERS) outbreak in the Republic of Korea, 2015: a retrospective epidemiological analysis. BMJ Open. 2016;6:e009936. (doi: 10.1136/bmjopen-2015-009936.)[doi]
  14. Nishiura H, Miyamatsu Y, Mizumoto K: Objective Determination of End of MERS Outbreak, South Korea, 2015. Emerg Infect Dis. 2016;22:146-8. Letter (doi: 10.3201/eid2201.151383.)[doi]
  15. Mizumoto K , Endo A, Chowell G, Miyamatsu Y, Saitoh M, Nishiura H: Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015. BMC Med. 2015;13. (doi: 10.1186/s12916-015-0468-3.)[doi]
  16. Mizumoto K, Saitoh M, Chowell G, Miyamatsu Y, Nishiura H: Estimating the risk of Middle East respiratory syndrome (MERS) death during the course of the outbreak in the Republic of Korea, 2015. Int J Infect Dis. 2015;39. (doi: 10.1016/j.ijid.2015.08.005.)[doi]
  17. Nishiura H, Kinoshita R, Miyamatsu Y,Mizumoto K: Investigating the immunizing effect of the rubella epidemic in Japan, 2012-14.  Int J Infect Dis. 2015;38. (doi: 10.1016/j.ijid.2015.07.006.)[doi]
  18. Mizumoto K, Ejima K, Yamamoto T, Nishiura H: On the risk of severe dengue during secondary infection: A systematic review coupled with mathematical modeling. Journal of Vector Borne Diseases. 2014;51:153-64. [journal]
  19. Nishiura H, Ejima K, Mizumoto K, Nakaoka S, Inaba H, Imoto S, Yamaguchi R, Saito MM: Cost-effective length and timing of school closure during an influenza pandemic depend on the severity. Theor Biol Med Model. 2014;11:5. (doi: 10.1186/1742-4682-11-5.)[doi]
  20. Nishiura H, Ejima K, Mizumoto K: Missing information in animal surveillance of MERS-CoV. Lancet Infectious Diseases.  2014;14:100. Correspondence. (doi: 10.1016/S1473-3099(13)70699-6)[doi]
  21. Nishiura H, Mizumoto K, Ejima K: How to interpret the transmissibility of novel influenza A(H7N9): an analysis of initial epidemiological data of human cases from China. Theoretical Biology and Medical Modelling. 2013;10:30. (doi: 10.1186/1742-4682-10-30)[doi]
  22. Mizumoto K, Ejima K, Yamamoto T, Nishiura H: Vaccination and clinical severity: Is the effectiveness of contact tracing and case isolation hampered by past vaccination? International Journal of Environmental Research and Public Health. 2013;10:816-829. (doi: 10.3390/ijerph10030816)[doi]
  23. Nishiura H, Mizumoto K: Epidemiological determinants of successful vaccine development. International Journal of Medical Sciences. 2013;10:382-384 (doi: 10.7150/ijms.5689)[doi]
  24. Mizumoto K, Yamamoto T, Nishiura H: Age-dependent estimates of the epidemiological impact of pandemic influenza (H1N1-2009) in Japan. Computational and Mathematical Methods in Medicine. 2013;2013:637064. (doi: 10.1155/2013/637064)[doi]
  25. Mizumoto K, Nishiura H, Yamamoto T: Effectiveness of antiviral prophylaxis coupled with contact tracing in reducing the transmission of the influenza A (H1N1-2009): A systematic review. Theoretical Biology and Medical Modelling. 2013;10:4. (doi: 10.1186/1742-4682-10-4)[doi]
  26. Mizumoto K, Yamamoto T, Nishiura H: Contact behaviour of children and parental employment behaviour during school closure against the pandemic influenza A (H1N1-2009) in Japan. The Journal of International Medical Research. 2013;41:716-724. (doi: 10.1177/0300060513478061)[doi]
  27. Nishiura H, Mizumoto K, Ejima K, Zhong Y, Cowling BJ, Omori R: Incubation period as part of the case definition of severe respiratory illness caused by a novel coronavirus. Eurosurveillance. 2012;17:pii=20296. [journal]


  1. 水本憲治, 季節性インフルエンザの疾病負荷推定, RIMS 研究集会報告集 1937, 157-162, 2015
  2. 水本憲治, 予防内服用抗インフルエンザウイルス薬の備蓄政策に対する費用効果分析, MI Lecture Note 60, 114-120, 2014
  3. 水本憲治, 確率論的モデルを用いた排除期における麻疹流行と予防接種効果, RIMS 研究集会報告集 1937, 157-162, 2014

【総  説】

  1. 水本憲治, これからのインフルエンザ臨床と感染対策-どのようにインフルエンザは流行しているか. 臨床看護 37, 1738-1744, 2011
  2. 水本憲治, 小児におけるインフルエンザ対策-行政におけるインフルエンザ対策. 小児看護 34, 1325-1330, 2011
  3. 水本憲治, インフルエンザ対策のすべて-H1N1 2009 の総括と今後の対策-行政の立場から. INFECTION CONTROL 19, 1150-1151, 2010