-
PHAC / ASPC
- Canada
Stars
Code for reconstructing influenza dynamics from surveillance data using evidence synthesis techniques
Workshop on macpan2 for applied public health modelling.
Updates to the synthetic contact matrices
Best practices for creating high-quality and user-friendly MATLAB toolboxes, including recommendations for file organization, testing, and releasing the toolbox.
A Python implementation of decision trees, compatible with sklearn.
A definitive dataset for COVID-19 in Canada
Data + code examples used here: https://twitter.com/kate_ptrv/status/1332398737604431874?s=20
Uses the fitparse Python libraries to decode a (Garmin / ANT+) FIT file, producing a list of Associations that Mathematica can work with
The Economist's model to estimate excess deaths to the covid-19 pandemic
Source code and data for The Economist's covid-19 excess deaths tracker
Systematic dataset of Covid-19 policy, from Oxford University
Epidemiological Data from the COVID-19 Epidemic in Canada
Bayesian fit to SEIR model. An extension to Penn Medicine's CHIME tool.
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Phylogenetics with the Wolfram Language