Literature DB >> 26211781

Assessing coughing-induced influenza droplet transmission and implications for infection risk control.

Y-H Cheng1, C-H Wang1, S-H You2, N-H Hsieh3, W-Y Chen4, C-P Chio5, C-M Liao1.   

Abstract

Indoor transmission of respiratory droplets bearing influenza within humans poses high risks to respiratory function deterioration and death. Therefore, we aimed to develop a framework for quantifying the influenza infection risk based on the relationships between inhaled/exhaled respiratory droplets and airborne transmission dynamics in a ventilated airspace. An experiment was conducted to measure the size distribution of influenza-containing droplets produced by coughing for a better understanding of potential influenza spread. Here we integrated influenza population transmission dynamics, a human respiratory tract model, and a control measure approach to examine the indoor environment-virus-host interactions. A probabilistic risk model was implemented to assess size-specific infection risk for potentially transmissible influenza droplets indoors. Our results found that there was a 50% probability of the basic reproduction number (R0) exceeding 1 for small-size influenza droplets of 0·3-0·4 µm, implicating a potentially high indoor infection risk to humans. However, a combination of public health interventions with enhanced ventilation could substantially contain indoor influenza infection. Moreover, the present dynamic simulation and control measure assessment provide insights into why indoor transmissible influenza droplet-induced infection is occurring not only in upper lung regions but also in the lower respiratory tract, not normally considered at infection risk.

Entities:  

Keywords:  Airborne transmission; indoor air quality; influenza; respiratory droplet; risk assessment; ventilation

Mesh:

Year:  2015        PMID: 26211781     DOI: 10.1017/S0950268815001739

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  8 in total

1.  Comparison of methods to Estimate Basic Reproduction Number (R 0) of influenza, Using Canada 2009 and 2017-18 A (H1N1) Data.

Authors:  Roya Nikbakht; Mohammad Reza Baneshi; Abbas Bahrampour; Abolfazl Hosseinnataj
Journal:  J Res Med Sci       Date:  2019-07-24       Impact factor: 1.852

2.  Dynamic Bayesian network in infectious diseases surveillance: a simulation study.

Authors:  Tao Zhang; Yue Ma; Xiong Xiao; Yun Lin; Xingyu Zhang; Fei Yin; Xiaosong Li
Journal:  Sci Rep       Date:  2019-07-17       Impact factor: 4.379

Review 3.  Drivers of airborne human-to-human pathogen transmission.

Authors:  Sander Herfst; Michael Böhringer; Basel Karo; Philip Lawrence; Nicola S Lewis; Michael J Mina; Charles J Russell; John Steel; Rik L de Swart; Christian Menge
Journal:  Curr Opin Virol       Date:  2016-12-02       Impact factor: 7.090

4.  Effect of meteorological factors on the activity of influenza in Chongqing, China, 2012-2019.

Authors:  Li Qi; Tian Liu; Yuan Gao; Dechao Tian; Wenge Tang; Qin Li; Luzhao Feng; Qiyong Liu
Journal:  PLoS One       Date:  2021-02-03       Impact factor: 3.240

5.  The effect of air temperature on hospital admission of adults with community acquired pneumonia in Baotou, China.

Authors:  Wenfang Guo; Letai Yi; Peng Wang; Baojun Wang; Minhui Li
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

6.  The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.

Authors:  Yuzhou Zhang; Chuchu Ye; Jianxing Yu; Weiping Zhu; Yuanping Wang; Zhongjie Li; Zhiwei Xu; Jian Cheng; Ning Wang; Lipeng Hao; Wenbiao Hu
Journal:  Sci Total Environ       Date:  2019-10-28       Impact factor: 7.963

7.  An outbreak of influenza among trekkers in the Everest region of Nepal†.

Authors:  Bhawana Amatya; Prativa Pandey; Sanjaya K Shrestha
Journal:  J Travel Med       Date:  2020-09-26       Impact factor: 8.490

8.  Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.

Authors:  Pan Ma; Xiaoxin Tang; Li Zhang; Xinzi Wang; Weimin Wang; Xiaoling Zhang; Shigong Wang; Ning Zhou
Journal:  Int J Biometeorol       Date:  2021-10-25       Impact factor: 3.738

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.