Kinoshita R, Miyamoto S, Sakuraba S, Sugihara J, Suzuki M, Suzuki T, Yoneoka D. Infection and Vaccine-Induced SARS-CoV-2 Seroprevalence in the Japanese Population, 0-101 Years Old, 2023. Emerg Infect Dis. 2024 Jun;30(6).
Kinoshita R, Arai S, Suzuki M, Nishiura H. Identifying the Population Susceptible to Rubella in Japan, 2020: Fine-Scale Risk Mapping. Journal of Infection and Public Health. 2024. Mar 29;17(6):947-955.
Sassa M, Kinoshita R, Murano Y, Shoji H, Yoneoka D. Holiday effect on childbirth: A population-based analysis of 21,869,652 birth records, 1979-2018. PLoS One. 2024 Feb 14;19(2):e0296403.
Kitamura N, Otani K, Kinoshita R, Yan F, Takizawa Y, Fukushima K, Yoneoka D, Suzuki M, Kamigaki T. Protective effect of previous infection and vaccination against reinfection with BA.5 Omicron subvariant in Japan. The Lancet Regional Health-Western Pacific. 2023 Sep 25:41:100911.
Kinoshita R, Arashiro T, Kitamura N, Arai S, Takahashi K, Suzuki T, Suzuki M, Yoneoka D. Infection-Induced SARS-CoV-2 Seroprevalence among Blood Donors, Japan, 2022. Emerg Infect Dis. 2023 Jul 28;29(9).
Kinoshita R, Sassa M, Otake S, Yoshimatsu F, Shi S, Ueno R, Suzuki M, Yoneoka D. Impact of airline network on the global importation risk of mpox, 2022. Epidemiology & Infection. 2023;1-27. doi:10.1017/S0950268823000456
Arashiro, T*, Arai, S*, Kinoshita R, Otani K, Miyamoto S, Yoneoka D, Kamigaki T, Takahashi H, Hibino H, Okuyama M, Hayashi A, Kikuchi F, Morino S, Takanashi S, Wakita T, Tanaka-Taya K, Suzuki T, Suzuki M. National seroepidemiological study of COVID-19 after the initial rollout of vaccines: Before and at the peak of the Omicron-dominant period in Japan. Influenza Other Respi Viruses. 2023; 17( 2):e13094. doi:10.1111/irv.13094
Ko YK, Kinoshita R, Yamauchi M, Otani K, Kamigaki T, Kasuya K, Yoneoka D, Arima Y, Kobayashi Y, Arashiro T, Otsuka M, Shimbashi R, Suzuki M. Impact of the Coming-of-Age Day and ceremony on the risk of SARS-CoV-2 transmission in Japan: A natural-experimental study based on national surveillance data. Influenza Other Respir Viruses. 2022 Jul 27:10.1111/irv.13027.
Ko YK, Murayama H, Yamasaki L, Kinoshita R, Suzuki M, Nishiura H. Age-Dependent Effects of COVID-19 Vaccine and of Healthcare Burden on COVID-19 Deaths, Tokyo, Japan. Emerg Infect Dis. 2022 Jul 12;28(9).
Kinoshita R, Jung SM, Kobayashi T, Akhmetzhanov AR, Nishiura H. Epidemiology of coronavirus disease 2019 (COVID-19) in Japan during the first and second waves. Mathematical Biosciences and Engineering. 2022;19(6):6088-101.
Miyama T, Jung SM, Hayashi K, Anzai A, Kinoshita R, Kobayashi T, Linton NM, Suzuki A, Yang Y, Yuan B, Kayano T, Akhmetzhanov AR, Nishiura H. Phenomenological and mechanistic models for predicting early transmission data of COVID-19. Mathematical Biosciences and Engineering. 2022, 19.2: 2043-2055.
Jung SM, Endo A, Kinoshita R , Nishiura H. Projecting a second wave of COVID-19 in Japan with variable interventions in high-risk settings. R. Soc. open sci. 2021.8202169202169
木下諒, 西浦博. 特集「COVID-19第2波に備えてできること」:新型コロナウイルスのクラスター解析と疫学. 臨床とウイルス(日本臨床ウイルス学会).2020 Oct 48;4
Kinoshita R, Anzai A, Jung SM, Linton NM, Miyama T, Kobayashi T, Hayashi K, Suzuki A, Yang Y, Akhmetzhanov AR, Nishiura H. Containment, contact tracing and asymptomatic transmission of novel coronavirus disease (COVID-19): A modelling study. J Clin Med. 2020. Sep 27;9(10)
Kayano T, Lee H, Kinoshita R, Nishiura H. Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data. Int J Infect Dis. 2020. Sep20;S1201-9712(20)32174-3
Hitoshi Oshitani, 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, Japanese Journal of Infectious Diseases, JJID.2020.363
Nishiura H, Kobayashi T, Miyama T, Suzuki A, Jung SM, Hayashi K, Kinoshita R, Yang Y, Yuan B, Akhmetzhanov AR, Linton NM. Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19). Int J Infect Dis. 2020 May; 94: 154–155.
Kobayashi T, Jung SM, Linton NM, Kinoshita R, Hayashi K, Miyama T, Anzai A, Yang Y, Yuan B, Akhmetzhanov AR, Suzuki A, Nishiura H. Communicating the Risk of Death from Novel Coronavirus Disease (COVID-19). J Clin Med. 2020 Feb 21;9(2). pii: E580.
Linton NM, Kobayashi T, Yang Y, Hayashi K, Akhmetzhanov AR, Jung SM, Yuan B, Kinoshita R, Nishiura H. Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data. J Clin Med. 2020 Feb 17;9(2). pii: E538.
Jung SM, Akhmetzhanov AR, Hayashi K, Linton NM, Yang Y, Yuan B, Kobayashi T, Kinoshita R, Nishiura H. Real-Time Estimation of the Risk of Death from Novel Coronavirus (COVID-19) Infection: Inference Using Exported Cases. J Clin Med. 2020 Feb 14;9(2). pii: E523.
Nishiura H, Kobayashi T, Yang Y, Hayashi K, Miyama T, Kinoshita R, Linton NM, Jung SM, Yuan B, Suzuki A, Akhmetzhanov AR. The Rate of Underascertainment of Novel Coronavirus (2019-nCoV) Infection: Estimation Using Japanese Passengers Data on Evacuation Flights. J Clin Med. 2020 Feb 4;9(2). pii: E419.
Anzai A, Kobayashi T, Linton NM, Kinoshita R, Hayashi K, Suzuki A, Yang Y, Jung SM, Miyama T, Akhmetzhanov AR, Nishiura H. Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19). J Clin Med. 2020 Feb 24;9(2). pii: E601.
Jung SM*, Kinoshita R*, Thompson RN*, Linton NM, Yang Y, Akhmetzhanov AR, Nishiura H. Epidemiological Identification of A Novel Pathogen in Real Time: Analysis of the Atypical Pneumonia Outbreak in Wuhan, China, 2019-2020. J Clin Med. 2020 Feb 27;9(3). pii: E637.
Nishiura H, Jung SM, Linton NM, Kinoshita R, Yang Y, Hayashi K, Kobayashi T, Yuan B, Akhmetzhanov AR. The Extent of Transmission of Novel Coronavirus in Wuhan, China, 2020. J Clin Med. 2020 Jan 24;9(2). https://doi.org/10.3390/jcm9020330
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 Med Infect Dis. 2019 Jul - Aug;30:137-138. https://doi.org/10.1016/j.tmaid.2019.05.004
Ponce L, Kinoshita R, Nishiura H. Exploring human-animal interface of Ebola virus disease outbreaks. Mathematical Biosciences and Engineering. 2019, 16(4): 3130-3143, 2019. https://doi.org/10.3934/mbe.2019155
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 Curr. 2018 Oct 15;10. https://doi.org/10.1371/currents.outbreaks.3cc277d133e2d6078912800748dbb492
Kinoshita R, Shimizu K, Nishiura H. Measles control in a measles-eliminated country, Japan. Travel Med Infect Dis. 2018 Sep-Oct;25:8-9. https://doi.org/10.1016/j.tmaid.2018.08.006
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 Pac Surveill Response J. 2018;9(3). https://doi.org/10.5365/wpsar.2018.9.2.005
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). https://doi.org/10.3390/ijerph15040572
Kinoshita R, Nishiura H. Assessing age-dependent susceptibility to measles in Japan. Vaccine. 2017;35(25):3309-3317. https://doi.org/10.1016/j.vaccine.2017.05.011
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. http://dx.doi.org/10.1016/j.epidem.2016.03.001
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. http://dx.doi.org/10.7717/peerj.1904
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. http://dx.doi.org/10.1016/j.ijid.2016.02.017
Nomura S, Parsons AJQ, Hirabayashi M, Kinoshita R, Liao Y, Hodgson S. Social Determinants of Mid- to Long-term Disaster Impacts on Health: A Systematic Review. International Journal of Disaster Risk Reduction. 16 (2016): 53-67. http://dx.doi.org/10.1016/j.ijdrr.2016.01.013
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. http://dx.doi.org/10.1136/bmjopen-2015-009936
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. http://dx.doi.org/10.1136/bmjopen-2015-009928
Nishiura H, Kinoshita R, Miyamatsu Y, Mizumoto K. Investigating the immunizing effect of the rubella epidemic in Japan, 2012-14. International Journal of Infectious Diseases 2015;38:16-8. http://dx.doi.org/10.1016/j.ijid.2015.07.006
西浦博, 木下諒.特集「感染症の数理モデルと制御」:新興感染症の国際的伝播を予測する数理モデル.システム情報制御学会誌. 2015, 59(9), p. 446-451 (Link)