Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK.
Department of Engineering, University of Cambridge, Cambridge, UK.
Indoor Air. 2022 Jun;32(6):e13066. doi: 10.1111/ina.13066.
Understanding airborne infectious disease transmission on public transport is essential to reducing the risk of infection of passengers and crew members. We propose a new one-dimensional (1D) model that predicts the longitudinal dispersion of airborne contaminants and the risk of disease transmission inside a railway carriage. We compare the results of this 1D-model to the predictions of a model that assumes the carriage is fully mixed. The 1D-model is validated using measurements of controlled carbon-dioxide experiments conducted in a full-scale railway carriage. We use our results to provide novel insights into the impact of various strategies to reduce the risk of airborne transmission on public transport.
了解公共交通工具上空气传播传染病的传播情况对于降低乘客和机组人员感染的风险至关重要。我们提出了一个新的一维（1D）模型，用于预测铁路车厢内空气传播污染物的纵向扩散和疾病传播的风险。我们将这个 1D 模型的结果与假设车厢完全混合的模型的预测进行了比较。我们使用在全尺寸铁路车厢中进行的受控二氧化碳实验的测量结果对 1D 模型进行了验证。我们利用研究结果深入了解了各种降低公共交通中空气传播风险的策略的影响。
