Modelling, predicting and risk assessment of mpox (monkeypox) and other (re)emerging zoonotic threats to inform decision-making and public health actions: mathematical, geospatial and machine learning approaches

对mpox（猴痘）和其他（重新）出现的人畜共患威胁进行建模、预测和风险评估，为决策和公共卫生行动提供信息：数学、地理空间和机器学习方法

• 批准号: 481139
• 负责人: Woldegerima Woldegebriel Assefa
• 金额: $ 34.97万
• 依托单位: York University (Toronto, Ontario)
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2023
• 资助国家: 加拿大
• 起止时间: 2023-02-01 至 2025-02-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=481139&lang=en
• 关键词: Artificial Intelligence; Behavioural, Social-Economic, Environmental & Climate Infleu; Biobehavioral Data And Modelling; Control Interventions And Risk Factors; Data-Driven, Mathematical And Statistical Models; Epidemiological And Geospatial Modeling; Inf

We will design and analyze epidemiological and geospatial models including artificial intelligence-based and mathematical models to study the epidemiology, transmission dynamics, and immunology and intervention strategies of mpox, and other zoonotic threa

我们将设计和分析流行病学和地理空间模型，包括基于人工智能和数学模型，以研究mpox和其他人畜共患威胁的流行病学、传播动力学、免疫学和干预策略