Data-driven analytics of disease spread under close contact for optimal testing and mitigation.

在密切接触环境中暴发的感染可对相关人群产生重大影响。例子包括：监狱中的血液传播疾病；在大型体育赛事或游轮上出现肠胃疾病；还有养老院的疥疮。加强早期发现和部署技术，可以更好地应对这类疾病的爆发。该项目将利用多种数据来源，为一组典型疾病和情况建立模型，并在此过程中开发一个通用软件框架，用于创建建模工具，以便为密切接触的疫情进行情景规划。这项工作将与Danaher （GeneXpert系统的制造商，通常被称为“造父变星机器”）合作进行，他们将确保学生可以获得当前和未来快速诊断技术的最新信息，并且他们将受益于建模工具的可用性，该工具可以确定在哪些情况下更快的诊断将对患者，医疗保健和护理系统最有益。这将为产品开发和营销提供信息。该学生将加入曼彻斯特大学数学学院的一个活跃的数学流行病学家小组（3个学院- House， Hall和Pellis， 3名博士后，8名博士），并将有机会与该小组的研究人员合作，该小组由艾伦图灵数据科学和人工智能研究所资助，致力于互补项目。Ustianowski博士还将提供大曼彻斯特及其他地区丰富的临床研究组织的访问权限（例如北曼彻斯特总医院研究，大曼彻斯特综合研究网络，NIHR感染国家专科组）。项目期间将发展和培训的技能包括数学建模、统计推断、使用高效的现代计算算法、将经济、工业和临床方面纳入流行病学模型。

Outbreaks of infection in close contact settings can have a major impact on the population involved. Examples include: blood-borne diseases in prisons; gastrointestinal illness at a major sporting event or on a cruise ship; and scabies in care homes.Enhanced techniques for early detection, and the deployment thereof, may enable better responses to such outbreaks. This project will work with multiple sources of data to build models for an exemplar set of diseases and contexts, and in doing so develop a general software framework for modelling tool creation to enable scenario planning for close-contact outbreaks.The work will be carried out in collaboration with Danaher (manufacturers of the GeneXpert System that is commonly known as the "Cepheid Machine"), who will ensure that the latest information on current and future fast diagnostic technologies is available to the student, and who will benefit from the availability of a modelling tool that can determine in which contexts faster diagnostics are going to be most beneficial to patients, healthcare and care systems, which will inform product development and marketing.The student will join a lively group of mathematical epidemiologists in the School of Mathematics at the University of Manchester (3 Faculty - House, Hall and Pellis, 3 Postdoctoral, 8 PhD) and will have the opportunity to collaborate with researchers in this group funded by the Alan Turing Institute for Data Science and Artificial Intelligence working on complementary projects. Dr. Ustianowski will also provide access to a rich collection of clinical research organisations in Greater Manchester and beyond (e.g. North Manchester General Hospital research, Greater Manchester Comprehensive Research Network, NIHR Infection National Specialty Group).Skills to be developed and trained during the project include mathematical modelling, statistical inference, working with efficient, modern computational algorithms, incorporation of economic, industrial and clinical aspects into epidemiological models.