Connection

Co-Authors

Back to Details
This is a "connection" page, showing publications co-authored by Niel Hens and Cécile Kremer.
Niel Hens
Connection Strength
2.360
Cécile Kremer
  1. Quantifying superspreading for COVID-19 using Poisson mixture distributions. Sci Rep. 2021 07 08; 11(1):14107.
    View in: PubMed
    Score: 0.955
  2. Authors' response: Estimating the generation interval for COVID-19 based on symptom onset data. Euro Surveill. 2020 07; 25(29).
    View in: PubMed
    Score: 0.890
  3. The risk of underestimating the contribution of children to SARS-CoV-2 pandemic. Clin Infect Dis. 2021 Jun 30.
    View in: PubMed
    Score: 0.238
  4. Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020. Euro Surveill. 2020 04; 25(17).
    View in: PubMed
    Score: 0.219
  5. Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January-April 2020. Emerg Infect Dis. 2021 Feb; 27(2):582-585.
    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.