Wed Feb 3 Weekly Vaccination Update:

It was a disappointing week. New vaccinations decreased compared to last week.

This is also the first week where fewer doses were distributed than administered.

covid19-projections.com/path-to-herd-i…
1st doses remained under 1M/day while 2nd doses were up 60% compared to last week (236k -> 381k a day).

The clear pattern that is emerging is that states are allocating their limited doses to give out as 2nd doses rather than to vaccinate new people.
Given that the pace of "doses distributed" have also not increased since early January, the outlook is worrisome.

Unless the pace of new distributed doses increases, it currently looks like we may be at a plateau in new vaccinations for a while.
Here is a map of the current pace of daily vaccinations.

States like Florida and Texas that saw a quick initial rollout are now seeing their new vaccinations stagnate.

California, a frequently criticized state, has improved their rate significantly.

covid19-projections.com/maps-infection…
That said, we are still projecting a ramp-up in new vaccinations in late Feb/March, partially driven by the rollout of the new J&J single shot vaccine.

April is still a likely timeline for general public availability, though May is also possible, depending on the state.
We also made some improvements to our Path to Herd Immunity chart.

We estimate roughly 100M people (30%) in the US currently have immunity.

Out of the 100M with immunity, 7% come from vaccination only, 91% come from past infection only, and 2% have both.
We want to caution that we are currently not yet accounting for the virus variants that have been increasing in prevalence. We are actively monitoring the situation and are waiting for more data.

If the variants can escape immunity, then these results will no longer hold.

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More from @youyanggu

27 Jan
Wed Jan 27 Weekly Vaccination Update:

Given no unforeseen supply issues, we estimate that the general public can receive the vaccine by April.

We also estimate over 60% of the US adult population will be fully vaccinated by June.

covid19-projections.com/path-to-herd-i…
These estimates are driven by data. In the past week, over 1 million doses were administered per day, a 20% week-over-week increase.

While there are news reports of anecdotal supply issues, this has not shown up in the data. If this changes, we will update accordingly.
Nationwide, new infections are decreasing quickly while vaccinations are steadily increasing.

But around 500k people are still being infected per day, double the summer peak.

The drop in infections is more likely due to a post-holiday slowdown rather than vaccinations.
Read 6 tweets
25 Jan
A month ago, I reported on @CDCgov's overestimate of true infections in the US.

It appears that last week, the CDC significantly lowered their estimates. It now closely matches covid19-projections.com's latest estimate of ~83M infected (~25% of the population).
My thread from last month is below, where I highlight the flaws in the CDC's original estimates (91M infections through November 2020 and a 7:1 infections to case ratio).

Their explanation:

"Since the previous update, CDC has received additional data about the proportion of persons with symptomatic illness who seek [..] testing services. The higher values of health-seeking behavior result in lower estimates of infections"

cdc.gov/coronavirus/20…
Read 9 tweets
20 Jan
Jan 20 Weekly Update: New vaccinations (750k/day) are still increasing, but at a slower pace. 1st doses saw a 30% increase over last week, compared to 76% increase the week before.

We are the only site that tracks vaccine doses since December: covid19-projections.com/path-to-herd-i…
By state, Alaska and West Virginia lead the pack, with over 7% of the population receiving at least 1 dose.

In contrast, Nevada and Alabama have less than 3% of the population receiving at least 1 dose.

See more maps: covid19-projections.com/maps-infection…
As of today, over 14M people have received at least 1 dose, or 4.3% of the population.

36M doses have been distributed. Our "percent doses used" metric is under 50%.

Efficiency can be greatly improved.
Read 5 tweets
14 Jan
There appears to be an error on the CDC website.

The @CDCgov page currently claims 11M people have initiated COVID-19 vaccination, but the underlying data suggests that it's actually 11M *doses*.

This is quite misleading, and I hope this error is corrected ASAP.
I took some time to correct for this myself. Our vaccination page now breaks down administered doses into 1st & 2nd doses: covid19-projections.com/path-to-herd-i…

According to our estimates, 10M people (not 11.1M) have received at least one dose. Out of those 9M, 1.1M have received both doses.
After this adjustment, the current pace of new vaccinations is ~4M people per week. Even if we double that pace, it would take 9 months to vaccinate everyone.

As of now, ~15% of the daily doses given are used as a 2nd dose (114k / 747k). I expect this fraction to grow over time.
Read 5 tweets
12 Jan
New feature! We are now including vaccination status (according to @CDCgov) on all covid19-projections.com plots for every US state (and nationally).

Find out how quickly your state is vaccinating people here: covid19-projections.com/#view-us-infec…
For example, states like Florida and New York are quickly vaccinating more people than new infections, while states like California and Georgia are still lagging behind.
See my short thread from yesterday for more vaccination data + projections.

Read 4 tweets
7 Jan
Are high levels of existing COVID-19 population immunity in US counties associated with a lower infection rate in this current wave?

This thread contains my latest findings to this question.

Initial conclusion: No, there is practically no correlation.
The plot above shows the the percentage of the population infected before Sep 1 & after Sep 1 in each county (based on covid19-projections.com estimates).

The question is: can knowing the % infected before Sep 1 in a county predict the relative severity of this current wave?
When looking at all 3,000+ counties, the answer is no. There is practically no correlation (R^2 = 0.002) between the % infected before Sep 1 and after Sep 1.

So given a county, the COVID-19 prevalence before Sep 1 has no predictive value in determining the severity since Sep 1.
Read 26 tweets

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