Operationalising Modern Mathematical Epidemiology

越来越多的医疗保健数据以电子方式收集和处理，这既创造了机遇，也带来了挑战。幸运的是，近年来数学流行病学领域取得了重大进展，该领域系统地对人口中的疾病和健康模式进行建模，以理清现有数据的复杂性。该项目旨在将数学流行病学的一些关键见解引入医疗保健系统，特别是与以下方面有关：在家庭一级收集的传染病数据的分析；与感冒和流感有关的不同病毒是如何在人群中相互阻碍和帮助的；了解人们如何影响彼此的健康相关行为；还有癌症放疗。该项目的其他方面是技术性的，但寻求回答以下问题：如何处理非实验性但以不受控制的方式出现的数据，例如在疾病爆发期间？我们应该如何处理通过日常监控不断收集到的数据？

Data on healthcare is increasingly collected and processed electronically, creating both opportunities and challenges.Fortunately, recent years have seen major developments in the field of mathematical epidemiology, which systematically models the patterns of disease and health in the population to disentangle the complexities of the available data.This project seeks to drive some key insights from mathematical epidemiology into the healthcare system, particularly relating to: the analysis of infectious disease data collected at the household level; how different viruses linked to colds and 'flu hinder and help each others' spread through the population; understanding how people influence each others' health-related behaviours; and cancer radiotherapy.Other aspects of the project are technical, but seek to answer the questions: What should be done with data that are not experimental, but appear in an uncontrolled way such as during disease outbreaks? And what should we do with data that are constantly being collected through routine surveillance?