School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, EdinburghEH9 3FD, UK.
Epidemiol Infect. 2020 Oct 23;148:e257. doi: 10.1017/S0950268820002563.
The outbreak of the novel coronavirus severe acute respiratory syndrome-coronavirus-2 has raised major health policy questions and dilemmas. Whilst respiratory droplets are believed to be the dominant transmission mechanisms, indirect transmission may also occur through shared contact of contaminated common objects that is not directly curtailed by a lockdown. The conditions under which contaminated common objects may lead to significant spread of coronavirus disease 2019 during lockdown and its easing is examined using the susceptible-exposed-infectious-removed model with a fomite term added. Modelling the weekly death rate in the UK, a maximum-likelihood analysis finds a statistically significant fomite contribution, with 0.009 ± 0.001 (95% CI) infection-inducing fomites introduced into the environment per day per infectious person. Post-lockdown, comparison with the prediction of a corresponding counterfactual model with no fomite transmission suggests fomites, through enhancing the overall transmission rate, may have contributed to as much as 25% of the deaths following lockdown. It is suggested that adding a fomite term to more complex simulations may assist in the understanding of the spread of the illness and in making policy decisions to control it.
新型冠状病毒严重急性呼吸综合征冠状病毒 2 的爆发引发了重大的卫生政策问题和困境。虽然飞沫被认为是主要的传播机制,但间接传播也可能通过共享接触污染的常见物体发生,而封锁并不能直接阻断这种传播。本文利用带有污染物项的易感-暴露-感染-清除模型,研究了在封锁和放松期间污染的常见物体可能导致 2019 年冠状病毒病显著传播的条件。通过对英国每周死亡率进行最大似然分析,发现污染物项具有统计学意义的贡献,每个感染个体每天向环境中引入 0.009±0.001(95%置信区间)的感染诱导污染物。封锁后,与没有污染物传播的相应反事实模型的预测进行比较表明,污染物通过提高整体传播率,可能导致封锁后多达 25%的死亡。建议在更复杂的模拟中添加污染物项,以帮助理解疾病的传播,并为控制疾病做出政策决策。