Adapting influenza predictive models to model previously unknown infectious diseases.

采用流感预测模型来模拟以前未知的传染病。

• 批准号: 2402163
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2402163
• 关键词: Adapting; influenza; predictive; models; model

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.

该项目的目标是调查流感样疾病 (ILI) 模型在多大程度上可以采用，该模型根据 Google 搜索频率对其他传染病（以 COVID-19 为例）进行预测。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，以及研究如何使模型能够解释由于公众对疾病的担忧而导致的在线搜索活动的增加。