Advances in data integration modelling for infectious disease response

该项目旨在开发强大的数学框架，整合来自多个来源的数据，以促进应对当前和未来传染病威胁的明智决策。该项目希望通过推进将多个数据源纳入传染病模型的工具来产生新的数学知识。预期成果包括提高预测传染病传播时空变化的能力。这一项目将在推广广泛适用于传染病环境的建模技术方面带来重大益处，这将在抗疟药物耐药性方面得到证明，这是消除疟疾的一个主要威胁。

This project aims to develop powerful mathematical frameworks that integrate data from multiple sources to facilitate informed decisions in response to the threat of present, and future, infectious diseases. The project expects to generate new knowledge in mathematics by advancing the tools for incorporating multiple data sources into models of infectious diseases. The expected outcomes include enhanced capacity to predict spatiotemporal changes in transmission of infectious diseases. This project should provide significant benefits in the advancement of modelling techniques broadly applicable to infectious disease settings, which will be demonstrated for antimalarial drug resistance – a major threat to malaria elimination.