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.
Both #Alberta and #BritishColumbia have had some reporting difficulties of late. I’ve omitted the BC trend in anticipation of tomorrow’s post-weekend report. (2/5)
❗ONTARIO, STOP REACTING TO THE DAILY COVID CASE COUNTS❗
(1/48) Why daily #COVID19 case counts are not the most relevant number and what #Ontario should be paying attention to instead. Mega-thread below. 👇🧵🚨
(2/48) Let’s begin by recapping what daily reported case counts are supposed to represent. When we look at them, we get a picture of what the epidemic looked like 1–2 weeks ago, so any change in the trajectory of the epidemic will take some time to show up in the daily counts.
(3/48) Why? Because it takes ~5 days from time of infection to begin showing symptoms, and then further days to seek testing, get tested, and finally process the test and report the results. This lag is affected by a number of factors, such as the size of the testing backlog.