Using novel causal inference approaches to improve decision-making in infectious diseases epidemiology

使用新颖的因果推理方法来改进传染病流行病学的决策

• 批准号: nhmrc : 2005366
• 金额: $ 7.64万
• 依托单位国家: 澳大利亚
• 项目类别: Postgraduate Scholarships
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/using-novel-causal-diseases-epidemiology/1780569
• 关键词: Using; novel; causal; inference; approaches

Health care professionals face challenges in infectious diseases(ID) treatment and control from rapid spread of drug-resistant pathogens. Most evidence has come from randomised clinical trials (RCT); however, these are expensive to run, and their generalisability has been questioned. Causal inference methods are available to address this issue, but the uptake of these methods in ID has been limited. This study aims to utilise these epidemiological modelling to enhance the quality of future RCTs.

卫生保健专业人员在传染病（ID）治疗和控制耐药病原体的快速传播方面面临挑战。大多数证据来自随机临床试验（RCT）;然而，这些都是昂贵的运行，其普遍性受到质疑。因果推理方法可用于解决这个问题，但这些方法在ID中的应用有限。本研究旨在利用这些流行病学模型来提高未来RCT的质量。