Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Seth Flaxman and Daniel Laydon.
Seth Flaxman
Connection Strength
0.818
Daniel Laydon
  1. Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 2021 04 22; 11(4):e050346.
    View in: PubMed
    Score: 0.235
  2. State-level tracking of COVID-19 in the United States. Nat Commun. 2020 12 03; 11(1):6189.
    View in: PubMed
    Score: 0.229
  3. Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Sci Rep. 2021 08 11; 11(1):16342.
    View in: PubMed
    Score: 0.060
  4. Correction: Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J Med Internet Res. 2021 Jul 14; 23(7):e31544.
    View in: PubMed
    Score: 0.060
  5. Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J Med Internet Res. 2021 06 02; 23(6):e28253.
    View in: PubMed
    Score: 0.059
  6. Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil. Science. 2021 05 21; 372(6544):815-821.
    View in: PubMed
    Score: 0.059
  7. Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England. Nature. 2021 05; 593(7858):266-269.
    View in: PubMed
    Score: 0.059
  8. Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. Int J Infect Dis. 2021 Jan; 102:463-471.
    View in: PubMed
    Score: 0.057
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.