Ejima K - Search Results

1

Incubation period as part of the case definition of severe respiratory illness caused by a novel coronavirus.

Nishiura H, Mizumoto K, Ejima K, Zhong Y, Cowling B, Omori R. Nishiura H, et al. Among authors: ejima k. Euro Surveill. 2012 Oct 18;17(42):20296. Euro Surveill. 2012. PMID: 23098822 Free PMC article.

2

How to interpret the transmissibility of novel influenza A(H7N9): an analysis of initial epidemiological data of human cases from China.

Nishiura H, Mizumoto K, Ejima K. Nishiura H, et al. Among authors: ejima k. Theor Biol Med Model. 2013 May 4;10:30. doi: 10.1186/1742-4682-10-30. Theor Biol Med Model. 2013. PMID: 23642092 Free PMC article.

3

Vaccination and clinical severity: is the effectiveness of contact tracing and case isolation hampered by past vaccination?

Mizumoto K, Ejima K, Yamamoto T, Nishiura H. Mizumoto K, et al. Among authors: ejima k. Int J Environ Res Public Health. 2013 Feb 27;10(3):816-29. doi: 10.3390/ijerph10030816. Int J Environ Res Public Health. 2013. PMID: 23446821 Free PMC article.

4

The impact of model building on the transmission dynamics under vaccination: observable (symptom-based) versus unobservable (contagiousness-dependent) approaches.

Ejima K, Aihara K, Nishiura H. Ejima K, et al. PLoS One. 2013 Apr 12;8(4):e62062. doi: 10.1371/journal.pone.0062062. Print 2013. PLoS One. 2013. PMID: 23593507 Free PMC article.

5

Probabilistic differential diagnosis of Middle East respiratory syndrome (MERS) using the time from immigration to illness onset among imported cases.

Ejima K, Aihara K, Nishiura H. Ejima K, et al. J Theor Biol. 2014 Apr 7;346:47-53. doi: 10.1016/j.jtbi.2013.12.024. Epub 2014 Jan 6. J Theor Biol. 2014. PMID: 24406808 Free PMC article.

6

Modeling the obesity epidemic: social contagion and its implications for control.

Ejima K, Aihara K, Nishiura H. Ejima K, et al. Theor Biol Med Model. 2013 Mar 9;10:17. doi: 10.1186/1742-4682-10-17. Theor Biol Med Model. 2013. PMID: 23497183 Free PMC article.

7

Estimation of the incubation period of COVID-19 using viral load data.

Ejima K, Kim KS, Ludema C, Bento AI, Iwanami S, Fujita Y, Ohashi H, Koizumi Y, Watashi K, Aihara K, Nishiura H, Iwami S. Ejima K, et al. Epidemics. 2021 Jun;35:100454. doi: 10.1016/j.epidem.2021.100454. Epub 2021 Mar 15. Epidemics. 2021. PMID: 33773195 Free PMC article.

8

Real-time quantification of the next-generation matrix and age-dependent forecasting of pandemic influenza H1N1 2009 in Japan.

Ejima K, Nishiura H. Ejima K, et al. Ann Epidemiol. 2018 May;28(5):301-308. doi: 10.1016/j.annepidem.2018.02.010. Epub 2018 Feb 21. Ann Epidemiol. 2018. PMID: 29510904

9

Capturing the transmission dynamics of the 2009 Japanese pandemic influenza H1N1 in the presence of heterogeneous immunity.

Endo A, Ejima K, Nishiura H. Endo A, et al. Among authors: ejima k. Ann Epidemiol. 2018 May;28(5):293-300.e1. doi: 10.1016/j.annepidem.2018.02.011. Epub 2018 Feb 21. Ann Epidemiol. 2018. PMID: 29510905

10

The time required to estimate the case fatality ratio of influenza using only the tip of an iceberg: joint estimation of the virulence and the transmission potential.

Ejima K, Omori R, Cowling BJ, Aihara K, Nishiura H. Ejima K, et al. Comput Math Methods Med. 2012;2012:978901. doi: 10.1155/2012/978901. Epub 2012 May 10. Comput Math Methods Med. 2012. PMID: 22649483 Free PMC article.

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