Investigating the role of symptom severity on health economic outcomes

调查症状严重程度对健康经济结果的作用

• 批准号: 2596470
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2596470
• 关键词: Investigating; role; symptom; severity; health

The context of the researchEmerging evidence supports the exsistence of a symptom severity mapping during the transmission of the respiratory diseases, meaning that the symptom severity of an infectious individual affects the symptom severity of those they infect. A symptom severity mapping has not been explored using mathematical models of infectious diseases, so this paper aims to fill the gap in literatire and further research into immunological responses to respiratory diseases to determine how symptoms develop after infections and the factors that play a crucial role.The aims and obejectives of the researchThis project aims to determine the likelihood and extent of a symptom severity mapping through a review of the litertature and an exploraion of data required for parameterisation. These results will then be used to invesitgate the implact of a ymptom severity mapping onhealth economic outcomes in various scenarios.The novelty of the research methodologyAlthough compartmental ODE models for respiratory diseases are widely used, differentiating between symptom severity levels has only become widespread recently, witnh the COVID_19 pandeimic leading to focus on asymptomatic transmission. Whilst these models account for differeing transmssion rates of infectious periods across sympom severity levels, there are no models that invesitgate the impact on subsequent symptom severity. The novelty of the research method comes from the inclusion of a symptom seveity mapping between n seveity levels for which the dependnace on infector severity can be varied.The potential impact, applications and benefitsThe primary focus will be exploring the impact of symptom severity mapping on health economic outcomes. Such mapping might lead to changes in the cost-effectiveness of specific policies, leading to a recommendation of interventions that could save more lives and cost less for governments or health care services. This project may motivate further research into the mechanims of respiratory disease transmission to determine the extent to which a symptom severity mapping exsists.How the research relates to the EPSRC remitThis research falls into the Mathematical Sciences research area, specifically mathematical biology. The project will use novel applications of exsisitng techniques to improve mode;s of disease spread at a population-wide level.External PartnerUK Health Security Agency

研究背景新出现的证据支持在呼吸道疾病传播过程中存在症状严重程度映射，这意味着感染个体的症状严重程度会影响他们感染的症状严重程度。尚未使用传染病的数学模型探索症状严重程度映射，本文旨在填补呼吸系统疾病免疫学研究的差距，进一步研究呼吸系统疾病的免疫学反应，以确定感染后症状的发展和起关键作用的因素。文献和参数化所需数据的探索。研究方法的新奇尽管呼吸系统疾病的房室ODE模型被广泛使用，但区分症状严重程度水平只是最近才变得普遍，因此COVID_19大流行导致关注无症状传播。虽然这些模型解释了不同症状严重程度的传染期的传播率，但没有模型研究对随后症状严重程度的影响。该研究方法的新奇在于纳入了n个严重程度之间的症状严重程度映射，其中对感染者严重程度的依赖性可以变化。潜在影响、应用和益处主要重点将是探索症状严重程度映射的影响对健康的影响经济结果。这种绘图可能会导致特定政策的成本效益发生变化，从而提出可以挽救更多生命并降低政府或医疗保健服务成本的干预措施建议。该项目可能会激发进一步的研究呼吸道疾病传播的机制，以确定在何种程度上的症状严重程度映射exsists.How研究涉及到EPSRC remittThis研究福尔斯属于数学科学的研究领域，特别是数学生物学。该项目将使用现有技术的新应用，以改善疾病在全人口水平上的传播模式。外部合作伙伴英国卫生安全局