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Harnessing human mobility and surveillance data for disease forecasting to drive evidence-based public health policy during the COVID-19 epidemic

Harnessing human mobility and surveillance data for disease forecasting to drive evidence-based public health policy during the COVID-19 epidemic
利用人员流动和监测数据进行疾病预测，以在 COVID-19 流行期间推动循证公共卫生政策
批准号：
422734
负责人：
Bogoch Isaac
金额：
$20.25万
依托单位：
University Health Network (Toronto)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-02-01 至 2022-02-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=422734&lang=en
关键词：
Air Travel Artificial Intelligence Coronavirus Covid-2019 Disease Forecasting Human Mobility Machine Learning Mobile Phone Public Response

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中文摘要
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英文摘要
COVID-19 emerged from Wuhan, China in late December 2019 and is currently spreading to international destinations, globally. At the time of writing, cases have been confirmed in 24 countries worldwide. Of major concern are early indications of human-to-h
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海外基金