Yes, it's posted on a .gov website. Anyone is allowed to submit comments on articles printed in the Federal Register, which are then posted to regulations.gov alongside the original document.
Unsurprisingly, this group aims to promote every drug under the sun as a miracle cure for #COVID19—as long as it isn't a vaccine! Hydroxychloroquine, ivermectin...it's all here.
In conclusion, the report linked in the first tweet is not the US government admitting that the #COVID19#vaccines have caused thousands of deaths. It's just your garden-variety abuse of the VAERS data to draw conclusions it was never capable of supporting.
More on VAERS "dumpster diving" from @gorskon, although this thread concerns an article from a team that is less obviously badly motivated than the hardcore anti-vaxxers of the "COVID-19 Early Treatment Fund".
We simply cannot continue to expand critical care. Additional capacity will exist only on paper. "Hospital beds" are a metaphor. You cannot squeeze blood from a stone.
The COVID-19 Open Data Working Group has been tracking the rollout of COVID-19 vaccines since V-Day (December 14). Data are available on our dashboard and from our GitHub repository. (2/4)
At the moment, we can provide regular updates on vaccine doses administered at the provincial level. Data should be considered preliminary. We expect provincial vaccine data to improve in the near future. (3/4)
(2/5) Percent positivity (positive tests / total tests * 100%) is so important because it summarizes two signals in one number: outbreak size and the adequacy of testing. A growing outbreak or insufficient testing (or both) will cause percent positivity to rise.
(3/5) Trying to compare percent positivity over time is more difficult when the underlying population being tested changes over time. Examples in Ontario, Canada include the switch to appointment-based testing, suspension of contact tracing and changing criteria for testing.
❗WHAT MAKES PERCENT POSITIVITY SUCH A CRITICAL METRIC IN A PANDEMIC?❓
(1/36) Plus: thoughts on #COVID19 response thresholds in #Ontario and why #Europe is a crystal ball for #Canada... Mega-thread below. 👇🧵🚨
(2/36) While it may be the daily case numbers that grab the headlines, it’s far from the most important metric to watch when determining the trajectory of COVID-19, as I’ve written before.
(3/36) Instead, we should be focusing on other metrics, like the 7-day rolling average, the number of outbreaks in long-term care facilities and percent positivity.