Shiwei Fan

TL;DR: It is shown that estimates of airborne infection can be accurately reconstructed, thereby offering scope for more informed retrospective modelling should outbreaks occur in spaces where CO2 is monitored, and well-ventilated spaces appear unlikely to contribute significantly to airborne infection.

TL;DR: In this paper, the impact of urban airflow on the natural ventilation of a building was investigated under the Managing Air for Green Inner Cities (MAGIC) project using measurements and modelling to investigate the connections between external and internal conditions.

TL;DR: In this article, the authors evaluated several simple natural ventilation models of cross ventilation and single-sided ventilation with data measured in a full-scale field study in London and found that, regardless of the input data sources, the cross-ventilation model in general gives reasonable predictions.

TL;DR: In this paper , experiments were conducted in an UK inter-city train carriage with the aim of evaluating the risk of infection to the SARS-CoV-2 virus via airborne transmission.

TL;DR: In this article, the authors present a method to determine the relative risk of airborne transmission that can be readily deployed with either modelled or monitored CO$_2$ data and occupancy levels within an indoor space.