連絡先:
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:
Researchmap,
Google Scholoar,
ORCID,
Research Gate,
Professional area:
Infectious Disease Epidemiology
Area of interest:
Theoretical Epidemiology
Mathematical Statistics
Decision Science
経歴
2005年8月 米国チューレーン公衆衛生熱帯医学大学院公衆衛生学修士（Master of Public health）取得
Chowell G, Dahal S, Bono R, Mizumoto K*.: Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises. Sci Rep. 2021;11(1):15482. (doi:10.1038/s41598-021-95032-4.)[URL]
Akhmetzhanov AR, Mizumoto K, JungS, Linton NM, Omori R, Nishiura H.: Estimation of the Actual Incidence of Coronavirus Disease (COVID-19) in Emergent Hotspots: The Example of Hokkaido, Japan during February–March 2020. J Clin Med. 2021;10(11),2392. (doi:10.3390/jcm10112392)[URL]
Dahal S, Banda JM, Bento AI,Mizumoto K, Chowell G.: Characterizing all-cause excess mortality patterns during COVID-19 pandemic in Mexico. BMC Infect Dis. 2021;21:432. (doi:10.1186/s12879-021-06122-7)[URL]
Undurraga EA, Chowell G, Mizumoto K.: Case fatality risk by age from COVID-19 in a high testing setting in Latin America: Chile, March-May, 2020. Infect Dis Poverty. 2021; 10(1):11. (doi:10.1186/s40249-020-00785-1)[URL]
Khare S, Dahal S, Luo R, Rothenbeg R, Mizumoto K, Chowell G.: Stillbirth Risk during the 1918 Influenza Pandemic in Arizona, USA. Epidemiologia. 2020;1(1):23-30 (doi:10.3390/epidemiologia1010005)[URL]
Mizumoto K, Kagaya K, Chowell G.: Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City: China, January-February, 2020. BMC Med. 2020;18(1):217. (doi:10.1186/s12916-020-01691-x.)[URL]
Munayco C*, Chowell G*,Tariq A, Undurraga EA, Mizumoto K.: Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020. Aging : Aging (Albany NY) (by Medline/PubMed), Aging-US (by Web of Science). 2020;12:1945-4589. (doi:10.18632/aging.103687)[URL]
Shim E, Mizumoto K, Choi W, Chowell G.: Estimating the risk of COVID-19 death during the course of the outbreak in Korea, February- May, 2020. J Clin Med. 2020; E1641. (doi:10.3390/jcm9061641)[URL]
Oshitani H, the Experts Members of The National COVID-19 Cluster Taskforce at Ministry of Health, Labour and Welfare, Japan.: Cluster-based approach to Coronavirus Disease 2019 (COVID-19) response in Japan—February–April 2020. Jpn J Infect Dis.2020. (doi:10.7883/yoken.JJID.2020.363.)[URL]
Mizumoto K*, Dahal S*, Chowell G.: Spatial variability in the risk of death from COVID-19 in 20 regions of Italy. Int J Tuberc Lung Dis.2020;24(8)829-837 (doi:10.5588/ijtld.20.0262.)
Mizumoto K, Kagaya K, Chowell G.: Effect of the Wet Market on the coronavirus disease (COVID-19) transmission dynamics in China, 2019-2020. Int J Infect Dis. 2020;97:96-101. (doi: 10.1016/j.ijid.2020.04.080)[URL]
Omori R, Mizumoto K, Nishiura H.: Ascertainment rate of novel coronavirus disease (COVID-19) in Japan. Int J Infect Dis. 2020;S1201-9712(20)30292-7. (doi: 10.1016/j.ijid.2020.04.080.)[URL]
Omori R, Mizumoto K, Chowell G.: Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate. Int J Infect Dis. 2020.pii: S1201-9712(20)30236-8. (doi:10.1016/j.ijid.2020.04.021)[URL]
Chowell G, Mizumoto K.: The COVID-19 pandemic in the USA: what might we expect? Lancet. 2020;395:1093-1094. Comment. (doi:10.1016/S0140-6736(20)30743-1)[doi]
Mizumoto K, Chowell G: Transmission potential of the novel coronavirus (COVID-19) onboard the diamond Princess Cruises Ship, 2020. Infect Dis Model. 2020;5:264-270. (doi:doi: 10.1016/j.idm.2020.02.003)[doi]
Mizumoto K, Chowell G.: Estimating Risk for Death from 2019 Novel Coronavirus Disease, China, January–February 2020. Emerg Infect Dis. 2020;26(6):1251-1256. (doi:10.3201/eid2606.200233)[doi]
Mizumoto K, Kagaya K, Zarebski A, Chowell G: Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill. 2020;25(10). (doi: )[doi]
Mizumoto K, Chowell G.: Temporary fertility decline after a large rubella outbreak, Japan. Emerg Infect Dis. 2020; 26(6):1122-1129. (doi:10.3201/eid2606.181718)[doi]
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]
Suzuki A, Mizumoto K, Akhmetzhanov AR, Nishiura H.: Interaction Among Influenza Viruses A/H1N1, A/H3N2, and B in Japan. Int J Environ Res Public Health. 2019;16(21). (doi: 10.3390/ijerph16214179.)[doi]
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]
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]
Dahal S, Mizumoto K, Bolin B, Viboud C, Chowell G.: Natality 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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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
【学会発表】国際学会口頭発表:
Mizumoto K et al.:Estimating the Asymptomatic Ratio of 2019 Novel Coronavirus onboard the PrincessCruises Ship, 2020, American Society of Tropical Medicine and Hygiene (ASTMH 2020), Virtual Meeting, 15-19 November 2020
Mizumoto K and Nishiura H:Disease burden attributable to seasonal and pandemic influenza in Japan, Innovative Mathematical Modeling for the Analysis of Infectious Disease Data(IMAID2016), Kobe, 11-12 October 2016
Mizumoto K and Nishiura H:Estimating the heterogenous CFR of MERS in the Republic of Korea, 2015, The Conference on Mathematical Modeling and Control of Communicable Diseases, headquarter of Fundação Getulio Vargas, Rio de Janeiro, 11-14 January 2016
Mizumoto K and Nishiura H:Estimation of the seasonal influenza associated disease burden in Japan, Innovative Mathematical Modeling for the Analysis of Infectious Disease Data(IMAID2015), Hokkaido University, Hokkaido, 29-30 October 2015
Mizumoto K and Nishiura H:Estimating disease burden of seasonal influenza in Japan, the 5th China-Japan-Korea Colloquium on Mathematical Biology, Doshisha University, Kyoto, Japan, 26-29 August 2015
Mizumoto K and Nishiura H:Epidemic extinction probability of measles in a highly vaccinated population, Society for Mathematical Biology,Student/University Center of Georgia State University, Atlanta, June 30-July 3, 2015
Mizumoto K, Ejima K, Yamamoto T, Nishiura H: On the risk of severe dengue during secondary infection:Mathematical modelling coupled with a systematic review, 12th International Conference on Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases, The Royal River Hotel,Bangkok, 11-13 December, 2014
Mizumoto K and Nishiura H:Identifying epidemic risk and size of measles outbreak attributable to imported cases in the Postelimination Era, the Joint Annual Meeting of the Japanese Society for Mathematical Biology and the Society for Mathematical Biology, Osaka International Convention Center, Osaka, July 28 - August 1 2014
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?, the 9th European Conference on Mathematical and Theoretical Biology, Chalmers Conference Centre, Gothenberg, 15-19 June 2014
【学会発表】国際学会ポスター発表:
Mizumoto K and Nishiura H:Estimating Influenza-Associated Deaths in Japan, Sixth International Conference on Infectious Disease Dynamics, the Mealia Hotel, Sitges, 29 November–3 December 2017
Mizumoto K and Nishiura H:Estimating the annual impact of seasonal influenza in Japan, Fifth International Conference on Infectious Disease Dynamics, Hilton Clearwater Beach, Florida, 1–4 December 2015
Mizumoto K and Nishiura H:Estimating the MERS associated risk of death in the Republic of Korea, 2015, the International Conference on Emerging Infectious Diseases , Atlanta, 24-26 August 2015
Mizumoto K, Yamamoto T, Nishiura H:Effectiveness of antiviral prophylaxis and contact tracing against the pandemic (H1N1) 2009: A systematic review and mathematical modelling, Epidemics 4 - Fourth International Conference on Infectious Disease Dynamics ,NH Grand Hotel Krasnapolsky, Amsterdam, 19–22 November 2013
Mizumoto K, Nishiura H: Estimating Seasonal Influenza-Associated Deaths in Japan, The 2016 (26th) annual meeting of the Japanese Society for Mathematical Biology, Kyushu University, Fukuoka, 7-9 September 2016
Nah K, Yasuda Y,Mizumoto K, Miyamatsu Y, Kinoshita R, Nihisura H: Estimating risks of importation and local transmission of Zika virus infection, The 2016 (26th) annual meeting of the Japanese Society for Mathematical Biology, Kyushu University, Fukuoka, 7-9 September 2016
水本憲治, 遠藤彰, Gerardo Chowell，宮松雄一郎, 斎藤正也, 西浦博 "Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea", 2015, 2016年度日本計量生物学会年会, 統計数理研究所, 東京, 2016.03.18-19
木下諒, 遠藤彰, 斎藤正也, 上野亮, 中岡慎治, 宮松雄一郎, Yueping Dong，Gerardo Chowell，水本憲治,"Identifying determinants of heterogeneous transmission dynamics of the MERS outbreak in the Republic of Korea", 2015, 2016年度日本計量生物学会年会, 統計数理研究所, 東京, 2016.03.18-19
西浦博, 宮松雄一郎, 水本憲治,"Objectively determining the end of MERS outbreak, South Korea", 2015, 2016年度日本計量生物学会年会, 統計数理研究所, 東京, 2016.03.18-19
西浦博, 水本憲治「Real-time characterization of the risk of death associated with MERS in the Republic of Korea」, 第26回日本疫学会学術総会,米子コンベンションセンター, 米子, 2016.1.21-23
水本憲治"Optimal amount and length of Oseltamivir stockpiling against pandemic influenza", 感染症数理モデルの実用化と産業及び政策での活用のための新たな展開, 九州大学マス・フォア・インダストリ研究所, 福岡, 2014.10.1-3
