Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Keisuke Ejima and Kazuyuki Aihara.
Keisuke Ejima
Connection Strength
0.847
Kazuyuki Aihara
  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. 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: 0.142
  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. Potential anti-COVID-19 agents, cepharanthine and nelfinavir, and their usage for combination treatment. iScience. 2021 Apr 23; 24(4):102367.
    View in: PubMed
    Score: 0.059
  7. 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.