Adapting influenza predictive models to model previously unknown infectious diseases.

该项目的目标是调查在多大程度上可以调整流感样疾病（ILI）模型，该模型根据Google搜索频率对其他传染病进行预测，例如COVID-19。范围还包括验证哪些数据源可以增强源模型和传输管道的性能，以及调查如何使模型能够解释公众对疾病的担忧导致的在线搜索活动增加。

The goal of the project is be to investigate to what extent is it possible to adapt an influenza-like-illnesses (ILI) model that makes predictions based on Google search frequencies to other infectious diseases on the example of COVID-19. The scope would also include verifying what data sources could enhance the performance of the source model and the transfer pipeline, as well as investigating how to enable the models to account for the increased online search activity caused by the public's concern about a disease.