Selected article for: "contact rate and cumulative number"

Author: Hui Wan; Jing-an Cui; Guo-Jing Yang
Title: Risk estimation and prediction by modeling the transmission of the novel coronavirus (COVID-19) in mainland China excluding Hubei province
  • Document date: 2020_3_6
  • ID: 3e1ji2mw_32
    Snippet: To examine the impact of partial lifting control measures on disease transmission, we plot the predicted time series of the number of cumulative confirmed cases, T (t), and the number of the infectious individuals, I(t)+A(t), with different contact rates ( Figure 6 ). Assuming that the adjusting time is from March 5th, 2020, Figure 6 (a) and (b) illustrate that contact rate with 20% of the initial value c 0 will not cause the disease re-bounce. H.....
    Document: To examine the impact of partial lifting control measures on disease transmission, we plot the predicted time series of the number of cumulative confirmed cases, T (t), and the number of the infectious individuals, I(t)+A(t), with different contact rates ( Figure 6 ). Assuming that the adjusting time is from March 5th, 2020, Figure 6 (a) and (b) illustrate that contact rate with 20% of the initial value c 0 will not cause the disease re-bounce. However, the epidemic period will be extended for about 40 days until early May and the cumulative number of confirmed cases will increase by around 0.5% to 13227. While if the starting time of the adjusting is postponed to March 20th, the epidemic time of disease will be extended for about one week and the cumulative number of confirmed cases will increase by only around 0.05% to 13161, compared with the scenario of no changes. Nevertheless, if the contact rate is half of the initial value, i.e. q 1 = 0.5 and R e (t) = 1.68, COVID-19 will re-bounce All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

    Search related documents:
    Co phrase search for related documents
    • change scenario and disease transmission: 1
    • change scenario and epidemic period: 1
    • change scenario and epidemic time: 1
    • confirm case and cumulative number: 1, 2
    • confirm case and disease transmission: 1
    • confirm case and initial value: 1
    • contact rate and cumulative number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
    • contact rate and disease transmission: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • contact rate and epidemic period: 1, 2, 3, 4, 5, 6
    • contact rate and epidemic time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21
    • contact rate and infectious individual: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • contact rate and infectious individual number: 1, 2, 3
    • contact rate and initial value: 1, 2, 3
    • cumulative number and disease transmission: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • cumulative number and epidemic period: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • cumulative number and epidemic time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • cumulative number and infectious individual: 1, 2, 3, 4, 5, 6, 7, 8
    • cumulative number and infectious individual number: 1
    • cumulative number and initial value: 1, 2, 3, 4, 5