A Bayesian method to estimate population prevalence of COVID-19.
This work is not validated, and is still in draft, and comes with no liability.
The following individuals have provided support or contribution to this project:
- Dr. Ramzi Mirshak
- Dr. David Waller
- Dr. Steven Schofield
- Mr. Michael A. Salciccoli
- Dr. Steve Guillouzic
- Mr. Andrew Sirjoosingh
- Mr. Alasdair Grant
Copyright (c) Her Majesty the Queen in Right of Canada, as represented by the Minister of National Defence, 2020.
This software is a derived work and uses parts of:
https://github.com/Priesemann-Group/covid19_inference
Bayesian inference and forecast of COVID-19, code repository
(C) Copyright 2020, Jonas Dehning, Johannes Zierenberg, F. Paul Spitzner, Michael Wibral, Joao Pinheiro Neto, Michael Wilczek, Viola Priesemann
GPL-3.0
Berry I, Soucy J-PR, Tuite A, Fisman D. Open access epidemiologic data and an interactive dashboard to monitor the COVID-19 outbreak in Canada. CMAJ. 2020 Apr 14;192(15):E420. doi: https://doi.org/10.1503/cmaj.75262
Canada Regional Health Boundaries from https://resources-covid19canada.hub.arcgis.com/datasets/regionalhealthboundaries-1
This data is provided "as-is" by Esri Canada and may contain errors or omissions.
This layer is maintained by Esri Canada. Population data is from Environics Analytics. Case related infrmation sourced from province and region websites (see SourceURL field)