Replication Data for: Predicted long-term impact of COVID-19 pandemic-related care delays on cancer incidence and mortality in Canada

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Description:
We developed a stochastic microsimulation model to estimate the long-term impacts of the pandemic on cancer incidence and mortality. The dataset contains median, maximum, and minimum model predictions by province as R objects.
Contributor(s):
McGill Task Force on the Impact of COVID-19 on Cancer Control and Care
Source Repository:
McGill University Dataverse
Series:
Cancer and COVID-19 Project Dataverse
Access:
Public
URL:
https://doi.org/10.5683/SP2/AQHVJB
Publication date:
2021-07-30
Subjects:
Medicine, Health and Life Sciences
Keywords:
Cancer

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Citation

APA Citation:
Replication Data for: Predicted long-term impact of COVID-19 pandemic-related care delays on cancer incidence and mortality in Canada. (2021). [Data set]. McGill University Dataverse. https://doi.org/10.5683/SP2/AQHVJB
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