Giter Club home page Giter Club logo

About me

Hello! My name is Jean-Paul R. Soucy and I am a PhD candidate in infectious disease epidemiology at the Dalla Lana School of Public Health at the University of Toronto. My research interests focus on the use of emerging data sources in infectious disease surveillance.

Connect with me on Twitter. Find my personal website at jprs.me and my writing at Data Gripes. Code related to my blog can be found in the data-gripes repository.

My repositories

Table of contents

Software packages are highlighted with code text.

COVID-19 Canada Open Data Working Group

Click to expand
COVID-19 datasets
Other CCODWG projects
Click to expand

Python & R packages

Click to expand

In addition to the COVID-19 data automation pipeline described above, I have also created the following R and Python packages:

  • archivist: Python-based digital archive tool currently powering the Canadian COVID-19 Data Archive
  • getDDD: Download defined daily dose (DDD) information for selected ATC codes from the website of the WHO Collaborating Centre for Drug Statistics Methodology

Reproducible research

Click to expand

Wherever possible, I aim to publish reproducible research with open data:

Presentations & workshops

Click to expand

Miscellaneous

Click to expand
COVID-19 data
Other

Gists

Find my GitHub gists here.

Jean-Paul R. Soucy's Projects

archivist icon archivist

Python-based digital archive tool currently powering the Canadian COVID-19 Data Archive

backandnow icon backandnow

Bayesian back-calculation and nowcasting for line list data

covid-19-antibiotic icon covid-19-antibiotic

Antibiotic prescribing in patients with COVID-19: A rapid review and meta-analysis (supporting analyses and interactive dashboard)

covid-19-cargill icon covid-19-cargill

Simulated transmission network of COVID-19 cases associated with the Cargill meat-packing plant in High River, Alberta

covid-19-mobility icon covid-19-mobility

Public transit mobility as a leading indicator of COVID-19 transmission in 40 cities during the first wave of the pandemic

covid-alert-data icon covid-alert-data

Open data reported by the COVID Alert system, in CSV format / Données ouvertes recueillies par le système Alerte COVID, au format CSV

data-gripes icon data-gripes

Additional content for the Data Gripes blog & newsletter (https://data.gripe).

r-approx-1 icon r-approx-1

An example of a nearly perfect correlation in the scientific literature.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.