2022-03-18: Analyzing Vaccine Side Effects. Part 1 (Seminar)

The Zoom recording of the Seminar ( Data Science using Open Canada Data) animated by Dmitry Gorodnichy. 2022-03-18. Ottawa.

Jason Morphett (former senior data scientist of British Telecom) is joining us from UK.
We talk about official data that have been collected by Canadian, UK and US governments related to vaccine efficiency and side-effects, and how we can analyze and visualize it using contemporary data science tools.
Dmitry talks about Canadian data and tools we developed here. Jason talks about UK and US data and the tools developed there. He describes The Coronavirus Adverse Vaccine Event (CAVE) project and present the Shiny App that he developed that performs semantic search and text analysis of US Government 's Vaccine Adverse Events database: https://vaccines.shinyapps.io/cave/.
This is the first half of the presentation.

The codes and slides from this presentation : https://github.com/IVI-M/cave/
Official US vaccine side-effect data : https://vaers.hhs.gov/data/datasets.html (data dictionary: https://vaers.hhs.gov/docs/VAERSDataUseGuide_en_September2021.pdf)

Official Canada vaccine side-effect data: https://health-infobase.canada.ca/covid-19/vaccine-safety/
Official Canada vaccine "efficiency" data: https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html#9
Googlesheet (with raw Official Canada data, graphs and calculations): https://www.ivim.ca/data

GitHub: https://ivi-m.github.io/vitals (forked from https://open-canada.github.io/vitals)
More Analysis: https://www.IVIM.ca
Interactive Death by Cause Tracker and Calculator: https://www.IVIM.ca/app

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