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Evaluating the differential impact of what we have done, as we prioritize what to do next: a multi-provincial intervention modeling study using population-based data

Evaluating the differential impact of what we have done, as we prioritize what to do next: a multi-provincial intervention modeling study using population-based data
评估我们所做的事情的不同影响，同时确定下一步要做的事情的优先顺序：使用基于人口的数据进行的多省干预建模研究
批准号：
430319
负责人：
Mishra Sharmistha
金额：
$94.24万
依托单位：
St. Michael's Hospital (Toronto, Ontario)
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：
2020-05-01 至 2021-05-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=430319&lang=en
关键词：
Health Administrative Data Intervention Impact Population Health Transmission Dynamics

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中文摘要
翻译
在加拿大，与其他地方一样，COVID-19疫情在不同的人群、地点和时间以不同的速度和幅度传播。早期的模型预测是可怕的全面，主要是因为有限的本地数据。所以早期的模型不得不假设我们
英文摘要
In Canada, as elsewhere, the COVID-19 epidemic has spread at varying speeds and amplitudes across people, places, and time. Early model predictions were dire across the board largely because of limited local data. So early models had to assume that we wer
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