Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Keisuke Ejima and Yasuhisa Fujita.
Keisuke Ejima
Connection Strength
0.707
Yasuhisa Fujita
  1. Time variation in the probability of failing to detect a case of polymerase chain reaction testing for SARS-CoV-2 as estimated from a viral dynamics model. J R Soc Interface. 2021 04; 18(177):20200947.
    View in: PubMed
    Score: 0.235
  2. Estimation of the incubation period of COVID-19 using viral load data. Epidemics. 2021 06; 35:100454.
    View in: PubMed
    Score: 0.234
  3. Incomplete antiviral treatment may induce longer durations of viral shedding during SARS-CoV-2 infection. Life Sci Alliance. 2021 10; 4(10).
    View in: PubMed
    Score: 0.060
  4. Revisiting the guidelines for ending isolation for COVID-19 patients. Elife. 2021 07 27; 10.
    View in: PubMed
    Score: 0.060
  5. Detection of significant antiviral drug effects on COVID-19 with reasonable sample sizes in randomized controlled trials: A modeling study. PLoS Med. 2021 07; 18(7):e1003660.
    View in: PubMed
    Score: 0.060
  6. A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2. PLoS Biol. 2021 03; 19(3):e3001128.
    View in: PubMed
    Score: 0.058
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.