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  1. Jun 2022
  2. bafybeiccxkde65wq2iwuydltwmfwv733h5btvyrzqujyrt5wcfjpg4ihf4.ipfs.dweb.link bafybeiccxkde65wq2iwuydltwmfwv733h5btvyrzqujyrt5wcfjpg4ihf4.ipfs.dweb.link
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    1. stopresetgo 11 Jun 2022
      esults over the past two decades have increasinglyshown that the “optimal” trajectory and the SCC are extraordinarily sensitive3 to the precisespecification of the model (Neelin et al., 2010; Budolfson et al., 2017; Gillingham et al.,2018).

      optimal trajectories are very sensitive to the models.

      optimal trajectories model sensitivity
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    bafybeiccxkde65wq2iwuydltwmfwv733h5btvyrzqujyrt5wcfjpg4ihf4.ipfs.dweb.link/NBER - w28472.pdf
  3. Mar 2021
  4. www.medrxiv.org www.medrxiv.org
    https://doi.org/10.1101/2020.06.22.20136309
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    1. SIYANYE 19 Mar 2021

      Larremore, D. B., Wilder, B., Lester, E., Shehata, S., Burke, J. M., Hay, J. A., Tambe, M., Mina, M. J., & Parker, R. (2020). Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance. MedRxiv, 2020.06.22.20136309. https://doi.org/10.1101/2020.06.22.20136309

      lang:en is:preprint testing sensitivity COVID-19 pandemic public health infection model surveillance
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    medrxiv.org/cgi/content/10.1101/2020.06.22.20136309