Youyang Gu Profile picture
Sep 30, 2020 13 tweets 5 min read Read on X
9/30 Weekly covid19-projections.com Update:

We forecast 24,000 (13-42k) additional reported deaths in the US by November 1 (~750/day).

Nov 1 Total Deaths Forecasts:

Today: 230k (219-248k)
Last week: 223k (213-238k)
2 weeks ago: 219k (208-233k)
4 weeks ago: 219k (205-240k) Image
We increased our forecasts over the past week after incorporating several new factors:

- A potential loss of immunity after >6 months
- Further relaxation of policies
- Increased interactions (school reopenings, return to work, etc)
- Plateau in cases/hospitalizations
There is currently a lack of consensus among the top models about the short-term deaths forecasts.

Our model and the COVIDhub ensemble model both suggest a possible plateau in reported deaths over the next few weeks. Image
Here's the week-over-week status of important metrics:

Tests: ⬆️ 9% (good)
Cases: ⬇️ 3% (good)
Positivity rate: ⬇️ 10% (good)
Hospitalizations: ⬆️ 3% (bad)
Deaths: ⬆️ 4% (bad)

The clear, consistent decline in hospitalizations and deaths over the past 2 months seems to be over. ImageImage
There is a clear increase in cases in the Midwest/Great Plains/Rocky Mountains states.

Most states that were hard-hit over the summer have yet to see an increase in cases, but that could change soon. Image
Moving forward, deducing trends from case data alone is going to get increasingly murkier, because of these confounding factors:

- Reporting backlogs
- Conflating rapid antigen test results
- Increase in testing (e.g. last 2 weeks: 35% increase in testing, 20% increase in cases)
Looking at test positivity can be tricky as well, due to the first two reasons from above, and also from the way the percentages are calculated.

Below is a good thread about the nuances of test positivity.

Deaths also have their own issues due to the heavy reporting lag.

That's why I now believe that hospitalizations are the best indicator of what is *currently* happening.

And nationwide hospitalizations are at a clear plateau, and may trend upwards. This is concerning. Image
I said in July that Florida and other states have a low implied IFR, and hence may be undercounting deaths.

It turns out that those states were just very slow in reporting deaths. We're in 2020, but somehow it can take weeks to report a death.

Per my calculations, the implied IFR for Florida has now exceeded the US implied IFR, which is expected given FL's higher median age.

The US implied IFR is now ~0.3%. Once you adjust for age and the undercounting of deaths (compared to excess deaths), you get a 0.4-0.7% IFR. Image
With that said, it's better to cite IFR by age group. The CDC estimates the following:

0-19: 0.003%
20-49: 0.02%
50-69: 0.5%
70+: 5.4%

But this is only based on data up until April. Treatment has likely improved since then.

cdc.gov/coronavirus/20…
To conclude, it seems that the fall wave is inevitably here. But how severe this becomes is still very much uncertain.

Regions that were largely spared in Mar-Aug may be more susceptible. This does not mean that other regions can let their guards down - no place is immune.
Our confidence intervals expands as we head towards November to account for the increased uncertainty.

We must prepare for the worst and hope for the best. The actions we take over the next few weeks can set the course for what's to come.

/END

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More from @youyanggu

Aug 5, 2021
People were worried cases would spike further when the UK lifted almost all remaining restrictions in July. The opposite happened.

We must acknowledge that restrictions aren't all that effective in Western countries.

(Except Australia, who just entered their 6th lockdown)
It's interesting that some experts would rather question the accuracy of the data than acknowledge this reality.
Many bad papers looked at these curves in 2020 & concluded that more restrictions is followed by a decline in cases, when the decline would've happened regardless.

If we apply the same flawed logic here, one can say that the lifting of restrictions is followed by fewer cases.
Read 6 tweets
Jul 22, 2021
Thanks @ScottGottliebMD! On data, research & messaging, there’s lots of room for improvement at the CDC.

For modeling, they were right in enlisting @reichlab to run Forecast Hub: cdc.gov/coronavirus/20…

They’ve crowdsourced 30+ teams for weekly updates.

Of course, the modeling isn’t perfect & never will be. But this ensemble of forecasts coming from 250+ researchers has helped add clarity for many over the past year.

The CDC deserves credit for taking a conscious, hands-off approach on this.

technologyreview.com/2021/05/28/102…
That said, I do think there's too much focus on modeling cases/deaths. For ex, I've haven't seen many efforts on vaccination forecasts or infections/immunity estimates.

There may be some reluctance in the general scientific community to do this, so it's hard to blame one entity.
Read 4 tweets
Jul 1, 2021
On its last model update on March 5, 2021, covid19-projections.com projected that 180 million people in the US will be vaccinated by July 1 (1+ dose).

Today, July 1, @CDCgov reported that the US surpassed 180M people vaccinated.

Not all models are bad.

covid19-projections.com/path-to-herd-i… Image
Since I began making vaccination projections in Dec 2020, I have consistently predicted a return to normal by Summer 2021.

Some said it was too optimistic, others too pessimistic.

It appears that as of this week, all states (minus HI) are fully reopen.

ImageImage
Of course, this is a new normal - we will never return to pre-pandemic normal.

The Delta variant will be around. People will still be infected, even among the vaccinated.

But that's expected. Efforts must continue to focus on vaccinating the vulnerable population.
Read 4 tweets
Jun 30, 2021
South Dakota has a vaccination rate of 50% (1+ dose). Maine is at 66%. So is Maine better protected?

Not quite. If you factor in immunity from natural infection, SD has a total population immunity of ~70%, while ME is at ~62%.

I created a calculator: docs.google.com/spreadsheets/d…
Many existing immunity estimates only look at a single metric: vaccination rate. But there are two main issues:

1) Not all vaccinated individuals are fully immune
2) They do not take into account acquired natural immunity

This calculator attempts to correct for this.
Looking at the US:
- 54% of the population have been vaccinated
- Natural infection rate is ~30-40% (covid19-projections.com/path-to-herd-i…).

If you assume the vaccination rate of previously infected individuals is slightly lower (say 45%), that gives a total population immunity of ~65%.
Read 5 tweets
Jun 22, 2021
I believe income inequality is the single best predictor of total Covid deaths in the US.

Not income, but income *inequality*. The R^2 is surprisingly high: 0.35.

Thanks to @joe_sill, I was able to look at over 40 different variables, and expands on my analysis from last month.
It's honestly shocking how correlated the Gini coefficient, a measure of inequality in wealth distribution in a state, is with total Covid deaths.

No other predictor I've seen comes close.

Props to @joe_sill for the finding and an excellent dataset:

Income is not correlated at all with total Covid deaths, but income *inequality* is.

While intuitively this makes sense, this clear dichotomy was extremely surprising for me.

(By the way, there is almost no correlation between income and income inequality)
Read 13 tweets
May 25, 2021
Is containing COVID-19 a requirement for preserving the economy? My analysis suggests: probably not.

In the US, there is no correlation between Covid deaths & changes in unemployment rates.

However, blue states are much more likely to have higher increases in unemployment.

🧵 Image
We can dive deeper by looking at levels of restrictions in each state, using the Oxford Covid-19 Government Response Tracker (OxCGRT).

More restrictions in a state is NOT correlated with fewer COVID-19 deaths.

However, more restrictions IS correlated with higher unemployment. ImageImage
The most interesting data point is South Dakota.

As the only state to never order closures of restaurants, bars & retail, SD actually saw a 0.5% DECREASE in unemployment since the pandemic started. It also never ordered a mask mandate.

Its deaths per capita is the 10th highest.
Read 18 tweets

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