Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Keisuke Ejima and Hiroshi Nishiura.
Keisuke Ejima
Connection Strength
2.833
Hiroshi Nishiura
  1. Real-time quantification of the next-generation matrix and age-dependent forecasting of pandemic influenza H1N1 2009 in Japan. Ann Epidemiol. 2018 05; 28(5):301-308.
    View in: PubMed
    Score: 0.756
  2. Probabilistic differential diagnosis of Middle East respiratory syndrome (MERS) using the time from immigration to illness onset among imported cases. J Theor Biol. 2014 Apr 07; 346:47-53.
    View in: PubMed
    Score: 0.568
  3. Estimation of the incubation period of COVID-19 using viral load data. Epidemics. 2021 06; 35:100454.
    View in: PubMed
    Score: 0.234
  4. Modelling the impact of correlations between condom use and sexual contact pattern on the dynamics of sexually transmitted infections. Theor Biol Med Model. 2018 05 31; 15(1):6.
    View in: PubMed
    Score: 0.193
  5. 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 03 22; 15(4).
    View in: PubMed
    Score: 0.190
  6. Capturing the transmission dynamics of the 2009 Japanese pandemic influenza H1N1 in the presence of heterogeneous immunity. Ann Epidemiol. 2018 05; 28(5):293-300.e1.
    View in: PubMed
    Score: 0.189
  7. On the risk of severe dengue during secondary infection: a systematic review coupled with mathematical modeling. J Vector Borne Dis. 2014 Sep; 51(3):153-64.
    View in: PubMed
    Score: 0.149
  8. Missing information in animal surveillance of MERS-CoV. Lancet Infect Dis. 2014 Feb; 14(2):100.
    View in: PubMed
    Score: 0.143
  9. Incubation period as part of the case definition of severe respiratory illness caused by a novel coronavirus. Euro Surveill. 2012 Oct 18; 17(42).
    View in: PubMed
    Score: 0.130
  10. Assessing the regional impact of Japan's COVID-19 state of emergency declaration: a population-level observational study using social networking services. BMJ Open. 2021 02 15; 11(2):e042002.
    View in: PubMed
    Score: 0.058
  11. Large-scale epidemiological monitoring of the COVID-19 epidemic in Tokyo. Lancet Reg Health West Pac. 2020 Oct; 3:100016.
    View in: PubMed
    Score: 0.057
  12. Trend change of the transmission route of COVID-19-related symptoms in Japan. Public Health. 2020 Oct; 187:157-160.
    View in: PubMed
    Score: 0.056
  13. An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency? Lancet Reg Health West Pac. 2020 Aug; 1:100011.
    View in: PubMed
    Score: 0.056
  14. Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study. J Epidemiol. 2020 08 05; 30(8):362-370.
    View in: PubMed
    Score: 0.055
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.