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  1. Last 7 days
  2. journals.plos.org journals.plos.org
    Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing
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    1. jasminehollingworth 24 Feb 2021

      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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    journals.plos.org/ploscompbiol/article
  3. Aug 2020
  4. www.nber.org www.nber.org
    Reopening Scenarios
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    1. amyhcurtis 03 Aug 2020

      Baqaee, D., Farhi, E., Mina, M. J., & Stock, J. H. (2020). Reopening Scenarios (Working Paper No. 27244; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27244

      is:article lang:en epidemiological model economy accounting COVID-19 survey data decision policy CDC remote work social distancing risk simulation
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    nber.org/papers/w27244