業績

原著英文

2019年
1.Kayano T, Lee KD, Nishiura H. Estimating the force of infection with Helicobacter pylori in Japan. Canadian Journal of Infectious Diseases and Medical Microbiology 2019; 2019:Article ID 1451490. DOI: 10.1155/2019/1451490

2. Nishiura H. Estimating the incidence and diagnosed proportion of HIV infections in Japan: a statistical modeling study. PeerJ 2019;7:e6275. DOI: 10.7717/peerj.6275

3. Akhmetzhanov AR, Asai Y, Nishiura H. Quantifying the seasonal driver of transmission for Lassa fever in Nigeria. Philosophical Transactions of the Royal Society B 2019;374(1775):20180268. DOI: 10.1098/rstb.2018.0268

4. Lee H, Kayano T, Nishiura H. Predicting congenital rubella syndrome in Japan, 2018-2019. International Journal of Infectious Diseases 2019; 82:1-5. DOI: 10.1016/j.ijid.2019.02.021

5. Yamaguchi T, Nishiura H. Predicting the epidemiological dynamics of lung cancer in Japan. Journal of Clinical Medicine 2019; 8(3):pii=E326. DOI:10.3390/jcm8030326.

6. Munasinghe L, Asai Y, Nishiura H. Quantifying heterogeneous contact patterns in Japan: A social contact survey. Theoretical Biology and Medical Modelling 2019; 16(1):6. DOI: 10.1186/s12976-019-0102-8.

7. Lee H, Nishiura H. Sexual transmission and the probability of an end of the Ebola virus disease epidemic. Journal of Theoretical Biology 2019; 471:1-12. DOI:10.1016/j.jtbi.2019.03.022.

8. Ponce L, Kinoshita R, Nishiura H. Exploring human-animal interface of Ebola virus disease outbreaks. Mathematical Biosciences and Engineering 2019; 16(4): 3130-3143. DOI:10.3934/mbe.2019155

9. Terahara F, Nishiura H. Fluoroquinolone consumption and Escherichia coli resistance in Japan: An ecological study. BMC Public Health 2019; 19:426. DOI: 10.1186/s12889-019-6804-3.

10. Yamamoto N, Lee H, Nishiura H. Exploring the mechanisms behind the country-specific time of Zika virus importation. Mathematical Biosciences and Engineering 2019; 16(5):3272-3284. DOI: 10.3934/mbe.2019163

11. Hamaguchi Y, Nishiura H. Estimate of the annual risk of tuberculosis infection in a general population of Japan. Journal of Theoretical Biology 2019;460:125-133. DOI: 10.1016/j.jtbi.2018.10.017

12. Kayano T, Lee H, Nishiura H. Modelling a supplementary vaccination program of rubella using the 2012–2013 epidemic data in Japan. International Journal of Environmental Research and Public Health 2019; 16(8):pii=E1473. DOI: 10.3390/ijerph16081473

13. Akhmetzhanov AR, Lee H, Jung S-M, Kayano T, Yuan B, Nishiura H. Analyzing and forecasting the Ebola incidence in North Kivu, the Democratic Republic of the Congo from 2018-19 in real time. Epidemics 2019; 27:127-131. DOI:10.1016/j.epidem.2019.05.002

14. Sakamoto Y, Nishiura H. Time dependent risk of cytomegalovirus infection in Japan. Mathematical Biosciences and Engineering 2019; 16(5):4082-4091. DOI: 10.3934/mbe.2019202

15. Nishiura H, Kayano T, Kinoshita R. Overcoming the difficulty of achieving elimination goal for measles and rubella due to imported infections: Estimation of the reproduction number R for measles and rubella. Travel Medicine and Infectious Diseases 2019; in press. DOI: 10.1016/j.tmaid.2019.05.004

16. Yuan B, Lee H, Nishiura H. Assessing dengue control in Tokyo, 2014. PLoS Neglected Tropical Diseases 2019; in press.

17. Yasuo K, Nishiura H. Spatial epidemiological determinants of severe fever with thrombocytopenia syndrome in Miyazaki, Japan: A GWLR modeling study. BMC Infectious Diseases 2019; in press.

18. Shimizu K, Nishiura H, Imamura A. Investigation of the proportion of diagnosed people living with HIV/AIDS among foreign residents in Japan. Journal of Clinical Medicine 2019; 8: Article ID 804; doi:10.3390/jcm8060804

2018年
1. Endo A, Ejima K, Nishiura H. Capturing the transmission dynamics of pandemic influenza H1N1-2009 in the presence of heterogeneous immunity. Annals of Epidemiology 2018;28(5):293-300(doi: 10.1016/j.annepidem.2018.02.011). https://doi.org/10.1016/j.annepidem.2018.02.011

2. Ejima K, Nishiura H. Real-time quantification of the next generation matrix and age-dependent forecasting of pandemic influenza H1N1 2009 in Japan. Annals of Epidemiology 2018; 28(5):301-308 (10.1016/j.annepidem.2018.02.010). https://doi.org/10.1016/j.annepidem.2018.02.010

3. Endo A, Nishiura H. The role of migration in maintaining the transmission of avian influenza in waterfowl: a multi-site multi-species transmission model along East Asian-Australian Flyway. Canadian Journal of Infectious Diseases and Medical Microbiology 2018; Article ID: 3420535. https://doi.org/10.1155/2018/3420535

4. Saito MM, Ejima K, Kinoshita R, Nishiura H. Assessing the Effectiveness and Cost-Benefit of Test-and-Vaccinate Policy for Supplementary Vaccination against Rubella with Limited Doses. Int J Environ Res Public Health. 2018;15(4):pii:E572. https://doi.org/10.3390/ijerph15040572.

5. Matsuyama R, Akhmetzhanov AR, Endo A, Lee H, Yamaguchi T, Tsuzuki S, Nishiura H. Uncertainty and sensitivity analysis of the basic reproduction number of diphtheria: A case study of Rohingya refugee camp in Bangladesh, November-December 2017. PeerJ 2018;6:e4583. doi: 10.7717/peerj.4583.

6. Matsuyama R, Miura F, Tsuzuki S, Nishiura H. Household transmission of acute gastroenteritis during winter season in Japan. Journal of International Medical Research 2018; 46(7):2866-2874. https://doi.org/10.1177/0300060518776451

7. Belser JA, Barclay W, Barr I, Fouchier RAM, Matsuyama R, Nishiura H, Peiris M, Russell CJ, Subbarao K, Zhu H, Yen HL. Ferrets as models for influenza virus transmission studies and pandemic risk assessments. Emerg Infect Dis 2018;24(6):965-971. doi: 10.3201/eid2406.172114

8. Yamamoto N, Ejima K, Nishiura H. Modelling the impact of correlations between condom use and sexual contact pattern on the dynamics of sexually transmitted infections. Theoretical Biology and Medical Modelling 2018; 15: 6. https://dx.doi.org/10.1186/s12976-018-0078-9

9. Yuan B, Nishiura H. Estimating the actual importation risk of dengue virus infection among Japanese travelers. PLoS ONE 2018; 13(6):e0198734. doi: 10.1371/journal.pone.0198734.

10. Sakamoto Y, Yamaguchi T, Yamamoto N, Nishiura H. Modeling the elevated risk of yellow fever among travelers visiting Brazil, 2018. Theoretical Biology and Medical Modelling 2018; 15(1):9. doi: 10.1186/s12976-018-0081-1.

11. Shimizu K, Kinoshita R, Yoshii K, Akhmetzhanov AR, Jung SM, Lee H, Nishiura H. An investigation of a measles outbreak in Japan and Taiwan, China, March–May 2018. Western Pacific Surveillance and Response Journal 2018;9(3).doi: 10.5365/wpsar.2018.9.2.00

12. Kinoshita R, Shimizu K, Nishiura H. Measles control in a measles-eliminated country, Japan. Travel Medicine and Infectious Diseases 2018; 25:8-9. doi:10.1016/j.tmaid.2018.08.006(Correspondence)

13. Kishida N, Nishiura H. Demographic supply-demand imbalance in industrial structure in the super-aged nation Japan. Theoretical Biology and Medical Modelling 2018; 15(1):19. doi: 10.1186/s12976-018-0091-z

14. Akhmetzhanov AR, Lee H, Jung SM, Kinoshita R, Shimizu K, Yoshii K, Nishiura H. Real time forecasting of measles using generation-dependent mathematical model in Japan, 2018. PLOS Currents Outbreaks 2018; 10. pii: ecurrents.outbreaks.3cc277d133e2d6078912800748dbb492. doi: 10.1371/currents.outbreaks.3cc277d133e2d6078912800748dbb492

15. Saito MM, Nishiura H, Higuchi T. Reconstructing the transmission dynamics of rubella in Japan, 2012-2013. PLoS ONE 2018;13(10):e0205889. doi: 10.1371/journal.pone.0205889

16. Hamaguchi Y, Yamaguchi T, Nishiura H. Estimating the annual risk of tuberculosis infection in Japan from interferon-gamma release assay data. Journal of Theoretical Biology 2019;460:125-133. doi: 10.1016/j.jtbi.2018.10.017

17. Fujita T, Nishiura H. Environmental Drivers of Bacillus-Positive Blood Cultures in a Cancer Hospital, Sapporo, Japan. International Journal of Environmental Research and Public Health 2018; 15(10):2201. doi: 10.3390/ijerph15102201

18. Jung SM, Lee H, Nishiura H. The impact of pneumococcal vaccination on pneumonia mortality among the elderly in Japan: A difference-in-difference study. PeerJ 2018;6:e6085. doi: 10.7717/peerj.6085

Conference Proceedings
C1. Wu Y, Yang Y, Nishiura H, Saitoh M. Deep learning for epidemiological predictions. In SIGIR’18: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, July 8-12, 2018, Ann Arbor, MI, USA, Jennifer B. Sartor, Theo D’Hondt, and Wolfgang De Meuter (Eds.) ACM, New York, NY, USA, Article 4, 4 pages. https://doi.org/10.1145/3209978.3210077

2017年
1. Asai Y, Nishiura H. Joint estimation of the transmissibility and severity of Ebola virus disease in real time. Journal of Biological Systems 2017; 25(4): 587-603. https://doi.org/10.1142/S0218339017400022

2. Kinoshita R, Nishiura H. Assessing age-dependent susceptibility to measles in Japan. Vaccine. 2017;35(25):3309-3317. (doi: 10.1016/j.vaccine.2017.05.011)

3. 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.

4. Matsuyama R, Miura F, Nishiura H. The transmissibility of noroviruses: Statistical modeling of outbreak events with known route of transmission in Japan. PLoS ONE. 2017 Mar 15; 12(3): e0173996. (doi: 10.1371/journal.pone.0173996)

5. Nishiura H, Tsuzuki S, Yuan B, Yamaguchi T, Asai Y. Transmission dynamics of cholera in Yemen, 2017: a real time forecasting. Theor Biol Med Model. 2017;14(1):14. doi: 10.1186/s12976-017-0061-x.

6. Yoshii K, Kojima R, Nishiura H. Unrecognized Subclinical Infection with Tick-Borne Encephalitis Virus, Japan. Emerging Infectious Diseases 2017;23(10):1753-1754. doi: 10.3201/eid2310.170918.

7. Miura F, Matsuyama R, Nishiura H. Estimating the asymptomatic ratio of norovirus infection during foodborne outbreaks with laboratory testing in Japan. Journal of Epidemiology 2017; 28(9):382-387. doi: 10.2188/jea.JE20170040

8. Nah K, Nishiura H, Tsuchiya N, Asai Y, Imamura A. Test-and-treat approach to HIV/AIDS: A primer for mathematical modeling. Theoretical Biology and Medical Modelling 2017;14(1):16 (doi: 10.1186/s12976-017-0062-9).

9. Lee H, Nishiura H. Recrudescence of Ebola virus disease outbreak in West Africa, 2014-2016. International Journal of Infectious Diseases 2017; 64:90-92. doi: 10.1016/j.ijid.2017.09.013.

10. Nishiura H, Tsuzuki S, Asai Y. Forecasting the size and peak of cholera epidemic in Yemen, 2017. Future Microbiology 2017;13(4):399–402. https://doi.org/10.2217/fmb-2017-0244

11. Nishiura H, Lee H, Yuan B, Endo A, Akhmetzhanov AR, Chowell G. Infectious disease risks among refugees from North Korea. International Journal of Infectious Diseases 2018;66:22-25. doi: 10.1016/j.ijid.2017.10.021.

12. Tsuzuki S, Lee H, Miura F, Chan YH, Jung S, Akhmetzhanov AR, Nishiura H. Dynamics of the pneumonic plague epidemic in Madagascar, August to October 2017. Eurosurveillance 2017;22(46):pii=17-00710.

2016年
1. Matsuyama R, Nishiura H, Kutsuna S, Hayakawa K, Ohmagari N. Clinical determinants of the severity of Middle East respiratory syndrome (MERS): a systematic review and meta-analysis. BMC Public Health. 2016;16(1):1203.

2. 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(1):20.

3. Nah K, Otsuki S, Chowell G, Nishiura H. Predicting the international spread of Middle East respiratory syndrome (MERS). BMC Infect Dis. 2016;16:356. doi: 10.1186/s12879-016-1675-z.

4. Otsuki S, Nishiura H. Reduced Risk of Importing Ebola Virus Disease because of Travel Restrictions in 2014: A Retrospective Epidemiological Modeling Study. PLoS One. 2016;11(9):e0163418. doi: 10.1371/journal.pone.0163418.

5. 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)

6. 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 Medicine and Infectious Diseases. 2016; 14(3):274-6 (doi: 10.1016/j.tmaid.2016.03.016)

7. 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. doi: 10.7717/peerj.1904.

8. Nishiura H, Kinoshita R, Mizumoto K, Yasuda Y, Nah K. Transmission potential of Zika virus infection in the South Pacific. International Journal of Infectious Diseases. 2016;45:95-7. doi: 10.1016/j.ijid.2016.02.017.

9. 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(2):e009936. doi: 10.1136/bmjopen-2015-009936.

10. Kinoshita R, Nishiura H. Assessing herd immunity against rubella in Japan: a retrospective seroepidemiological analysis of age-dependent transmission dynamics. BMJ Open. 2016 Jan 27;6(1):e009928. doi: 10.1136/bmjopen-2015-009928.

11. Nishiura H, Miyamatsu Y, Mizumoto K. Objective Determination of End of MERS Outbreak, South Korea, 2015. Emerging Infectious Diseases. 2016;22(1):146-8. doi: 10.3201/eid2201.151383.