中山醫學大學機構典藏 CSMUIR:Item 310902500/4479
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 17918/22933 (78%)
造访人次 : 7430044      在线人数 : 49
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.csmu.edu.tw:8080/ir/handle/310902500/4479


    题名: Probabilistic indoor transmission modeling for influenza (sub)type viruses
    作者: Chen, Szu-Chieh
    Liao, Chung-Min
    贡献者: 中山醫學大學
    公共衛生學系
    关键词: Influenza
    Indoor transmission
    Infection
    Vaccine
    Modeling
    日期: 2009
    上传时间: 2012-08-20T07:41:11Z (UTC)
    摘要: Objectives
    To use a probability based transmission modeling approach to examine the influenza risk of infection virus in indoor environments. This was based on 10 years of data gathered from influenza-like illness sentinel physician and laboratory surveillance, and experimental viral shedding data in Taiwan.

    Methods
    We integrated sentinel physician-reported cases and positive rates of influenza A (H1N1), A (H3N2), influenza B, and respiratory syncytial virus in Taiwan using the Wells–Riley mathematical model. This model incorporates environmental factors such as room ventilation and breathing rates. We also linked vaccine match rate with related transmission estimations to predict the controllable potential using a control model characterized by basic reproduction number (R0) and proportion of asymptomatic infections (θ).

    Results
    A quantitative framework was developed to better understand the infection risk and R0 estimates of A (H1N1), A (H3N2), and B viruses. The viral concentration in human fluid was linked successfully with quantum generation rates to estimate virus-specific infection risks. Our results revealed that A (H3N2) virus had a higher transmissibility and uncontrollable potential than the A (H1N1) and B viruses.

    Conclusions
    Probabilistic transmission model can incorporate virus-specific data on experimental viral shedding, long-term sentinel physician and laboratory surveillance to predict virus-specific infection risks in Taiwan.
    URI: https://ir.csmu.edu.tw:8080/ir/handle/310902500/4479
    關聯: Journal of Infection
    Volume 60, Issue 1, January 2010, Pages 26–35
    显示于类别:[公共衛生學系暨碩士班] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html期刊論文0KbHTML505检视/开启


    检视Licence

    SFX Query

    在CSMUIR中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈