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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

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
项目状态：
未结题
起止时间：
2023-02-01 至 2025-02-01
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

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英文摘要
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
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