Adapting influenza predictive models to model previously unknown infectious diseases.

该项目的目标是调查以COVID-19为例，在多大程度上可以将基于谷歌搜索频率进行预测的流感样疾病（ILI）模型应用于其他传染病。其范围还将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关注所引起的在线搜索活动的增加。

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.