Mathematical modelling to inform disease control interventions and screening policies for bacterial STIs

数学模型为疾病控制干预措施和细菌性传播感染筛查政策提供信息

• 批准号: 2869322
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2869322
• 关键词: Mathematical; modelling; inform; disease; control

My PhD focusses on mathematical modelling of sexually transmitted infections (STIs), and in assessing impact and cost-effectiveness of vaccination strategies. There are 3 main aims: 1. Informing gonorrhoea vaccination strategy in Men Who Have Sex with Men (MSM), by modelling the health economic value of vaccination. 2. Modelling how gonorrhoea vaccination affects acquisition of infection, development of symptoms, persistence of infection and infectivity, in a trial and at the population level in MSM. This will inform the interpretation of trial data and future trial design. 3. Characterising M. genitalium natural history from cohort data, accounting for effects of antibiotic treatment and other STIs, to improve models and guide development of control policy.

我的博士学位专注于性传播感染（STI）的数学建模，以及评估疫苗接种策略的影响和成本效益。有三个主要目标：1。通过建立疫苗接种的健康经济价值模型，为男男性行为者（MSM）提供淋病疫苗接种策略。2.在试验和人群水平上，在MSM中模拟淋病疫苗接种如何影响感染的获得、症状的发展、感染的持续性和传染性。这将为试验数据的解释和未来的试验设计提供信息。3.对M.生殖器自然史的队列数据，说明抗生素治疗和其他STI的影响，以改善模型和指导控制政策的制定。