8 April 2022. Part 2: Data from Pfizer pdf reports, discussion (“Data Science with Open Data”)
Analysis of Official Canada Data Related to COVID-19 Vaccine Efficacy and Safety
“Data Science with Open Data” Seminar (Ottawa, 8 April 2022)
By Dmitry Gorodnichy & Jason Morphett
Comments/Questions: dg@ivim.ca
Dashboard: www.IVIM.ca
Data: www.IVIM.ca/data (raw data and calculations)
Weekly seminars: www.IVIM.ca/seminar (agenda, slides, transcripts, resources)
Bias analysis: www.IVIM.ca/bias.htm
Part 1: Weekly update from Canada (Dmitry) - Watch it here: https://youtu.be/u_KBkXsMZOA
Part 2: Building a tool to extract data from PDF reports (Jason) - THIS PART
Examples: PHAC reports, UK deaths reports,Pfizer released documents
Wish-list: Intelligent keyword search, tables detection, automated abstracts … Feedback requested
Open Discussion
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8 April 2022. Part 1: Analysis of latest Canada Epidemiology Update data (Data Science seminar)
Analysis of Official Canada Data Related to COVID-19 Vaccine Efficacy and Safety
Dashboard: www.IVIM.ca
Data: www.IVIM.ca/data (raw data and calculations)
Weekly seminars: www.IVIM.ca/seminar (agenda, slides, transcripts, resources)
Bias analysis: www.IVIM.ca/bias.htm
Sources:
[ 1 ] COVID-19 Daily Epidemiology Update, Public Health Agency of Canada
https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
Archives: web.archive.org (www.ivim.ca/data/phac1)
“Data Science with Open Canada Data” Seminar (Ottawa, 8 April 2022)
By Dmitry Gorodnichy & Jason Morphett
Comments/Questions: dg@ivim.ca
Agenda:
Part 1: Weekly update from Canada (Dmitry) - THIS PART
New Logistics - going public: www.IVIM.ca/data/seminar
Website redevelopment
New development (dashboard) - Implemented:
Plot: Odds of deaths for populations
Plot: Absolute weekly deaths stats vs/ weekly vaccine SAR stats
New outputs:
Concern submitted to OAG (bias in official reports)
Open Letter Chief Science Advisor of Canada prepared
New results (data from [PHAC-1])
Part 2: Building a tool to extract data from PDF reports (Jason) - See it here: https://youtu.be/3j8UWJRRRw8
Examples: PHAC reports, UK deaths reports, Pfizer released documents
Wish-list: Intelligent keyword search, tables detection, automated abstracts … Feedback requested
Open discussion
Follow us:
YouTube: https://www.youtube.com/user/IVI0IVI
Twitter: https://twitter.com/Gorodnichy_Dm
FaceBook: https://www.facebook.com/people/Dmitry-O-Gorodnichy/100010429878764/
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2022-03-25: Analyzing Vaccine Side Effects - Part 2: How to compute weekly stats. Variation by Age
This is the second part of the discussion with Jason Morphett on Vaccine Side Effects Analysis, recorded on 2022-03-25 via Zoom in Ottawa.
In this part, we' analyze the number of complications from COVID vaccine (including deaths) for various age groups, using data from US, UK and Canada, and compare it that from COVID infection.
As noted in last week's seminar, Data gathered by various governments (including Canadian PHAC data) point to the fact that starting from summer 2021 young people (under 40 and esp. under 20) get more heath complications from COVID vaccine than from Covid infection. We'll show the exact numbers and how they are derived.
Q&A from the Zoom chat:
Q: IF somebody dies within a week or 2 after vaccine, how is that death counted, as unvaxxed or (partially/fully) vaxxed???
A: In the UK, they are counted as unvaccinated until over 2 weeks
A: In Canada and US too.
Additional data on effect C19 vaccines on children:
https://jasonmorphett.substack.com/p/covid19-vaccines-are-killing-younger?
‘Why are we vaccinating children against COVID-19?’, Toxicology Reports, Volume 8, 2021, Pages 1665-1684, ISSN 2214-7500 (14 September 2021) https://doi.org/10.1016/j.toxrep.2021.08.010
Dashboard: www.IVIM.ca
Data: www.IVIM.ca/data (raw data and calculations)
Weekly seminars: www.IVIM.ca/seminar (agenda, slides, transcripts, resources)
Bias analysis: www.IVIM.ca/bias.htm
Sources:
[ 1 ] COVID-19 Daily Epidemiology Update, Public Health Agency of Canada
https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
Archives: web.archive.org (www.ivim.ca/data/phac1)
[ 2 ] Canadian COVID-19 vaccination safety report, Public Health Agency of Canada, https://health-infobase.canada.ca/covid-19/vaccine-safety/
Spreadsheet: https://www.ivim.ca/data
[ 3 ] https://www.gov.uk/government/publications/coronavirus-covid-19-vaccine-adverse-reactions
Add data and analysis combined: https://www.IVIM.ca
Interactive Death by Cause Tracker and Calculator: https://www.IVIM.ca/app
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YouTube: https://www.youtube.com/user/IVI0IVI
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Comments/Questions: dg@ivim.ca
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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
Follow us:
YouTube: https://www.youtube.com/user/IVI0IVI
Twitter: https://twitter.com/Gorodnichy_Dm
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2022-02-25: Analysis of PHAC 'Cases following vaccination' data (Lunch and Learn Meetup)
Recording of the "Lunch and Learn Data Science with Open Canada Data " meetup led by Dr. Dmitry Gorodnichy
Sorry for bad wifi/sound quality.
Data Source :
"Cases following vaccination, COVID-19 Daily Epidemiology Update”, Public Health Agency of Canada (July 2021 - February 2022). https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html#9 , Archived reports: https://web.archive.org (cached: www.ivim.ca/data/phac1)
Observation:
Because PHAC computes statistics counting Deaths from the first day of Vaccination (December 14, 2020), when there was negligible percent of Fully vaccinated, the results reported by PHAC are skewed significantly (by order of magnitude) in favour of Fully vaccinated.
The skew was most noticeable at early stages of reporting these statistics (July - September),
when instead of the observed 10%-30% deaths among Fully vaccinated, PHAC reported only 1%-3% of them.
Spreadsheet: https://docs.google.com/spreadsheets/d/1lSO5jJwTkMNGl9kk6Y5jeGORGS11KzEE5yTxBGrGYKw
Slides: www.IVIM.ca/vv/pdf/meetup-2022-02-25-PHAC-by-vaccination-analysis.pdf
Additional resources: www.IVIM.ca
* Open Canada Vitals Statistics (Deaths) Tracker (Interactive Web Application): www.IVIM.ca/app
* How to report COVID-19 vaccine side-effects in Canada as a consumer (Self-help guide): https://ivi-m.github.io/vitals/report-side-effect
* Considerations by the Chief Science Adviser of Canada related COVID-19 vaccines (Summary): Considerations by the Chief Science Adviser of Canada related COVID-19 vaccines (Summary) : https://ivi-m.github.io/vitals/#ChiefSciCan
Videos shown:
Bill Gates: "Sadly the virus itself - particularly the variant called Omicron - is a type of vaccine, creates both B cell and T cell immunity and it's done a better job of getting out to the world population than we have with vaccines."
https://twitter.com/disclosetv/status/1494810193175195652
https://www.youtube.com/watch?v=tlygUb9RVgA
Feb 18, 2022
Natural immunity, answers, Feb 23, 2022
https://www.youtube.com/watch?v=HMsAJzwKwVY
https://www.youtube.com/watch?v=25-iJKPA1CA
Please subcribe to stay updated:
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