Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Philippe Beutels and Christel Faes.
Philippe Beutels
Connection Strength
0.503
Christel Faes
  1. Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium? Spat Spatiotemporal Epidemiol. 2020 11; 35:100379.
    View in: PubMed
    Score: 0.226
  2. A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies. BMC Infect Dis. 2021 May 30; 21(1):503.
    View in: PubMed
    Score: 0.059
  3. Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories. Epidemics. 2021 06; 35:100449.
    View in: PubMed
    Score: 0.058
  4. The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19. Nat Commun. 2021 03 09; 12(1):1524.
    View in: PubMed
    Score: 0.058
  5. Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country. Contemp Clin Trials. 2020 12; 99:106189.
    View in: PubMed
    Score: 0.057
  6. Structural differences in mixing behavior informing the role of asymptomatic infection and testing symptom heritability. Math Biosci. 2017 03; 285:43-54.
    View in: PubMed
    Score: 0.044
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.