Selected article for: "death toll and epidemic death toll"
Author: Anatoly Zhigljavsky; Jack Noonan
Title: Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19
  • Document date: 2020_4_7
    • ID: gm1mb8w5_80
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.04.20053462 doi: medRxiv preprint Conclusion. The outputs of the model developed above can be translated into the language of the expected number of death due to the epidemic. This language amplifies the findings of the previous section stating that isolation of a relatively small percentage of population may hugely reduce the death toll of the epidemic......
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.04.20053462 doi: medRxiv preprint Conclusion. The outputs of the model developed above can be translated into the language of the expected number of death due to the epidemic. This language amplifies the findings of the previous section stating that isolation of a relatively small percentage of population may hugely reduce the death toll of the epidemic.

    Search related documents:
    Co phrase search for related documents
    • death expected number language and expected number: 1
    • death toll and develop model: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • death toll and epidemic death toll: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
    • death toll and epidemic death toll reduce: 1
    • death toll and expected number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • death toll and previous section: 1
    • develop model and expected number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • epidemic death toll and expected number: 1
    • expected number and previous section: 1
    • population relatively small percentage and relatively small percentage: 1