Operationalising Modern Mathematical Epidemiology

医疗数据越来越多地以电子方式收集和处理，这既带来了机遇，也带来了挑战。幸运的是，近年来在数学流行病学领域取得了重大进展，该领域系统地模拟了人口中的疾病和健康模式，以解开现有数据的复杂性。本项目旨在将数学流行病学的一些关键见解引入医疗系统，特别是关于：分析在家庭一级收集的传染病数据;与感冒和流感有关的不同病毒如何阻碍和帮助彼此在人口中传播;了解人们如何影响彼此的健康行为;以及癌症放射治疗。对于非实验性的、但在疾病爆发期间以不受控制的方式出现的数据，应该如何处理？我们应该如何处理通过日常监控不断收集的数据？

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?