Modelling disease spread and non-pharmaceutical interventions in enclosed spaces

在新冠肺炎大流行期间，室内空间的政策制定者和管理者被要求迅速做出决定，以降低感染水平，但往往没有任何科学投入。在威尔士政府的资助下，我们的团队开发了一种新的病毒空气传播模型，可以快速确定室内空间中感染风险随着时间的推移而发生的变化。该奖学金将结合Tew和KK的研究，并由利益相关者BC代表的威尔士政府提出的问题推动。这项研究建立在新冠肺炎干预模拟器的基础上，这是威尔士政府使用的一款网络应用程序，用于预测感染在封闭空间中的传播，并决定有关社会距离和社会泡沫数的政策。了解疾病在小规模室内空间的传播，也使我们能够了解家畜(在家里周围)和农业动物(在牛棚、马厩和牛棚里)的传播。这样的移动源将很容易被包含在模拟框架中。

During the COVID-19 pandemic, policymakers and managers of indoor spaces were tasked to take fast decisions to mitigate infection levels, often without any scientific input available. With funding from the Welsh government our team developed a new model for the airborne transmission of viruses that rapidly determines the infection risk changes in indoor spaces as time progresses. This studentship will combine research from TEW and KK and be driven by questions arising from Welsh Government, represented by the stakeholder, BC. This research builds on the COVID-19 Intervention Simulator, a web app used by Welsh Government to predict infection spread in enclosed spaces and decide on policies regarding social distancing and social bubble numbers. Understanding disease transmission in small-scale indoor spaces, also allows us to understand transfer from domestic animals (around the home) and agricultural animals (in sheds, stables and barns). Such moving sources will be easily encompassable in the simulation framework.