Works by Scarabel, Francesca


Results: 12
    1
    2
    3
    4
    5
    6

    De-Escalation by Reversing the Escalation with a Stronger Synergistic Package of Contact Tracing, Quarantine, Isolation and Personal Protection: Feasibility of Preventing a COVID-19 Rebound in Ontario, Canada, as a Case Study.

    Published in:
    Biology (2079-7737), 2020, v. 9, n. 5, p. 100, doi. 10.3390/biology9050100
    By:
    • Tang, Biao;
    • Scarabel, Francesca;
    • Bragazzi, Nicola Luigi;
    • McCarthy, Zachary;
    • Glazer, Michael;
    • Xiao, Yanyu;
    • Heffernan, Jane M.;
    • Asgary, Ali;
    • Ogden, Nicholas Hume;
    • Wu, Jianhong
    Publication type:
    Article
    7
    8

    Authors' reply to the discussion of 'Estimation of reproduction numbers in real time: conceptual and statistical challenges' by Pellis et al. in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021

    Published in:
    Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022, v. 185, n. 1, p. S153, doi. 10.1111/rssa.12984
    By:
    • Pellis, Lorenzo;
    • Birrell, Paul J.;
    • Blake, Joshua;
    • Hall, Ian;
    • House, Thomas A.;
    • Overton, Christopher E.;
    • Scarabel, Francesca;
    • Stage, Helena B.;
    • De Angelis, Daniela
    Publication type:
    Article
    9

    Estimation of reproduction numbers in real time: Conceptual and statistical challenges.

    Published in:
    Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022, v. 185, n. 1, p. S112, doi. 10.1111/rssa.12955
    By:
    • Pellis, Lorenzo;
    • Birrell, Paul J.;
    • Blake, Joshua;
    • Overton, Christopher E.;
    • Scarabel, Francesca;
    • Stage, Helena B.;
    • Brooks‐Pollock, Ellen;
    • Danon, Leon;
    • Hall, Ian;
    • House, Thomas A.;
    • Keeling, Matt J.;
    • Read, Jonathan M.;
    • De Angelis, Daniela
    Publication type:
    Article
    10
    11

    EpiBeds: Data informed modelling of the COVID-19 hospital burden in England.

    Published in:
    PLoS Computational Biology, 2022, v. 18, n. 9, p. 1, doi. 10.1371/journal.pcbi.1010406
    By:
    • Overton, Christopher E.;
    • Pellis, Lorenzo;
    • Stage, Helena B.;
    • Scarabel, Francesca;
    • Burton, Joshua;
    • Fraser, Christophe;
    • Hall, Ian;
    • House, Thomas A.;
    • Jewell, Chris;
    • Nurtay, Anel;
    • Pagani, Filippo;
    • Lythgoe, Katrina A.
    Publication type:
    Article
    12