Selected article for: "million population and mortality rate"
Author: Jianghu Dong; Yongdao Zhou; Ying Zhang; Douglas Franz
Title: A Validation Study for the Successful Isolation Policy in China: a Meta-Analysis in COVID-19
  • Document date: 2020_4_18
    • ID: algpj6k5_5
    Snippet: The basic reproductive number R 0 is an important pandemic index to indi-117 cate infectious intensity, but it is challenging to determine the true value. Many 118 studies have given a wide range of R 0 in the existing literature, and we propose 119 the meta-analysis to estimate it in Section 2.1. Usually, the higher the reproduc-120 tion number, the more people will be infected given no intervention. We proposed 121 to use the infectious rate pe.....
    Document: The basic reproductive number R 0 is an important pandemic index to indi-117 cate infectious intensity, but it is challenging to determine the true value. Many 118 studies have given a wide range of R 0 in the existing literature, and we propose 119 the meta-analysis to estimate it in Section 2.1. Usually, the higher the reproduc-120 tion number, the more people will be infected given no intervention. We proposed 121 to use the infectious rate per million population from Y t and P to see the pan-122 demic severity in Section 2.2. Also, this standardized infectious rate per million 123 population also allows us to compare the intervention effects of COVID-19 across 124 countries. If the infectious rate exceeds the maximum healthcare capacity, the 125 pandemic will cause a high mortality rate. Therefore, we discuss the relationship 126 between the healthcare capacity and the peak of the infectious rate in Section 3. The estimated values of R 0 were different from each other with the range was 138 from 1.95 to 6.49. This huge difference of R 0 motivated us to estimate the basic 139 All rights reserved. No reuse allowed without permission.

    Search related documents:
    Co phrase search for related documents
    • estimate value and infectious rate: 1
    • healthcare capacity and high mortality: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • healthcare capacity and high mortality rate: 1, 2
    • healthcare capacity and maximum healthcare capacity: 1, 2, 3, 4, 5, 6, 7, 8
    • high mortality and infectious intensity: 1
    • high mortality and infectious rate: 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
    • high mortality and intervention effect: 1, 2, 3, 4, 5, 6, 7
    • high mortality rate and infectious rate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
    • high mortality rate and intervention effect: 1
    • high mortality rate cause and infectious rate: 1, 2
    • huge difference and intervention effect: 1
    • infectious rate and intervention effect: 1