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  1. Feb 2021
  2. journals.plos.org journals.plos.org
    Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing
    1
    1. jasminehollingworth 24 Feb 2021
      in BehSci

      Anderson, S. C., Edwards, A. M., Yerlanov, M., Mulberry, N., Stockdale, J. E., Iyaniwura, S. A., Falcao, R. C., Otterstatter, M. C., Irvine, M. A., Janjua, N. Z., Coombs, D., & Colijn, C. (2020). Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing. PLOS Computational Biology, 16(12), e1008274. https://doi.org/10.1371/journal.pcbi.1008274

      lang:en is:article COVID-19 control measure Bayseian model physical distancing distance non-pharmaceutical primary intervention disease impact epidemiological British Columbia social distancing transmission wave
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    • is:article
    • COVID-19
    • physical
    • distance
    • British Columbia
    • social distancing
    • control
    • epidemiological
    • primary
    • transmission
    • Bayseian
    • disease
    • model
    • impact
    • distancing
    • measure
    • wave
    • lang:en
    • non-pharmaceutical
    • intervention

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    • jasminehollingworth

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    journals.plos.org/ploscompbiol/article
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