Modelling disease spread and non-pharmaceutical interventions in enclosed spaces

在2019冠状病毒病大流行期间，决策者和室内空间管理人员的任务是迅速做出决定，以降低感染水平，通常没有任何科学投入。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，该模型可以快速确定室内空间感染风险随着时间的推移而变化。该奖学金将结合TEW和KK的研究，并由威尔士政府提出的问题驱动，由利益相关者代表，BC。这项研究建立在COVID-19干预模拟器的基础上，这是威尔士政府用来预测封闭空间感染传播并决定有关社交距离和社交泡沫数字的政策的网络应用程序。了解小规模室内空间的疾病传播，也使我们能够了解家畜（家庭周围）和农业动物（棚屋，马厩和谷仓）的传播。这样的移动源将很容易包含在仿真框架中。

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.