Mathematical and statistical methods for modelling invivo pathogen dynamics

该项目旨在开发数学模型和贝叶斯统计方法，更好地捕捉自然防御反应和药物如何帮助控制感染。当病毒(如流感)或寄生虫(如疟疾)侵入人体时，它们开始复制。到目前为止，只开发了简单的数学模型来捕捉这些过程，这些模型没有很好地表达出来。该项目将改进病原体动力学的生物数学和生物统计算法，并最终有望惠及公共卫生和旨在减轻传染病对人类健康影响的临床研究。

This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will improve biomathematics and biostatistical algorithms for pathogen dynamics and is ultimately expected to benefit public health and clinical research aimed at alleviating the effect of infectious diseases on human health.