Tsang Tim K, Cowling Benjamin J, Fang Vicky J, Chan Kwok-Hung, Ip Dennis K M, Leung Gabriel M, Peiris J S Malik, Cauchemez Simon
WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health.
Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
J Infect Dis. 2015 Nov 1;212(9):1420-8. doi: 10.1093/infdis/jiv225. Epub 2015 Apr 15.
Viral shedding is often considered to correlate with the infectivity of influenza, but the evidence for this is limited.
In a detailed study of influenza virus transmission within households in 2008-2012, index case patients with confirmed influenza were identified in outpatient clinics, and we collected nose and throat swab specimens for testing by reverse-transcription polymerase chain reaction from all household members regardless of illness. We used individual-based hazard models to characterize the relationship between viral load (V) and infectivity.
Assuming that infectivity was proportional to viral load V gave the worst fit, because it strongly overestimated the proportion of transmission occurring at symptom onset. Alternative models assuming that infectivity was proportional to a various functions of V provided better fits, although they all overestimated the proportion of transmission occurring >3 days after symptom onset. The best fitting model assumed that infectivity was proportion to V(γ), with estimates of γ = 0.136 and γ = 0.156 for seasonal influenza A(H1N1) and A(H3N2) respectively.
All the models we considered that used viral loads to approximate infectivity of a case imperfectly explained the timing of influenza secondary infections in households. Identification of more accurate correlates of infectivity will be important to inform control policies and disease modeling.
病毒排出通常被认为与流感的传染性相关,但这方面的证据有限。
在一项针对2008 - 2012年家庭内流感病毒传播的详细研究中,在门诊诊所识别出确诊流感的指示病例患者,我们收集了所有家庭成员的鼻拭子和咽拭子标本,无论其是否患病,用于通过逆转录聚合酶链反应进行检测。我们使用基于个体的风险模型来描述病毒载量(V)与传染性之间的关系。
假设传染性与病毒载量V成正比,拟合效果最差,因为它严重高估了症状出现时发生传播的比例。假设传染性与V的各种函数成正比的替代模型拟合效果更好,尽管它们都高估了症状出现后>3天发生传播的比例。拟合效果最佳的模型假设传染性与V(γ)成正比,季节性甲型(H1N1)流感和甲型(H3N2)流感的γ估计值分别为0.136和0.156。
我们考虑的所有使用病毒载量来近似病例传染性的模型,都不能很好地解释家庭中流感二代感染的时间。确定更准确的传染性相关因素对于指导控制策略和疾病建模将非常重要。