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29 Nov, 13 tweets, 4 min read
I am beginning to think that the widely accepted model of COVID mainly transmitting between close contacts via droplets is insufficient to explain the data and failing the Occam's razor. Instead, aerosols being the main route of transmission does better in both. (1/x)
Before I explain my reasoning, usual caveats: I am not a virologist/epidemiologist/medical professional/etc. I am just a scientist in another field who is observing the data and trying to make sense of it. So take the following with the usual grain of salt. (2/x)
First, what is Occam's razor? It means generally the theory which require the least number of assumptions is correct. A good example is geocentric vs. heliocentric models, the latter of which requires only one assumption - planets orbit the Sun. (3/x)
ImageImage
If main route was droplets:

1. Masks would actually work
2. Seasonality would be smaller since droplets follow gravity
3. People would have a better idea of from whom they got COVID.
4. Transmission by kids and adults would not be this much different. (4/x)
We keep adding different explanations to account for the above, under the premise that main route is droplets. For example, to explain why kids transmit less, we say kids are shorter. However, a model of aerosols being the dominant mode would not require these. (5/x) Image
1. Masks would make a bigger impact under a droplet-dominant spread. Masks can actually stop most/all droplets. However, despite 80-90+ % compliance in many places, we are seeing that the curves are the same, masks or no masks. This should not happen under a droplet model. (6/x)
2. Seasonality: Temp & humidity has greater impact on aerosols than droplets, and this likely impacts virus viability: "... aerosolized virus could remain infectious for extended periods of time under some environmental conditions." (7/x)
tandfonline.com/doi/full/10.10…
3. Most people have no idea where they got the virus. In many cases contact tracing does not yield any useful information. Close-contact droplet transmission would not be this difficult to track. (8/x)
miamiherald.com/news/coronavir…
Finally, it is possible that kids transmit less because they are less likely to generate aerosols. This explains lower incidence in schools. (9/x)
Despite all these, we are still insisting on a droplet model and trying to explain the above observations with secondary explanations. However, an aerosol-dominant model explain these perfectly. We need more research exploring the mechanisms of aerosol transmission. (10/x)
It is possible that early in an epidemic aerosols play a larger role, because despite carrying little virus, they spread more and easily infect a highly susceptible population. However, over time, droplets become the main route. (11/x)
This might explain the insistence on the droplet model: After all, every other respiratory virus spread via droplets. However, what we may be missing is that those other viruses are now endemic, and aerosols may be playing a smaller role for them (less viral load). (12/x)
Lastly, one final observation this would explain is why flu is nowhere to be seen. It is actually possible that masks/distance work wonders for the flu, since it is more established and mainly spreads via droplets. However, same measures do nothing to stop aerosols. (13/End)

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More from @covidtweets

23 Nov
Additional analysis on Kansas mask data: Does the size of the first wave (case levels before June) have an impact on the change in cases between August 11th - November 20th? (1/x)

Using population adjusted case numbers, below are the correlations between first wave cases, mask mandate, and change in cases after August. There is a significant negative correlation between first wave size and change after August. (2/x)
The correlation between masks and change is positive, meaning mandate counties had bigger changes. However, this is likely confounded by first wave size, as three counties with bigger first waves are non-mandate counties. (3/x)
Read 6 tweets
23 Nov
The new CDC study on mask effectiveness compares Kansas counties with and without mask mandates and finds that masks are effective.

Are they, really? (1/x)

cdc.gov/mmwr/volumes/6…
The first red flag comes from the data they used for analyses. They pick two seemingly random weeks from before and after the mandates and compare the changes in case numbers. They find that cases doubled in non-mandate counties and slightly declined in mandate counties. (2/x)
While this looks like cherry-picking, the results are actually similar when we compare mandate vs. non-mandate counties in terms of overall increase since August. On average, cases per 100K increased by x19 in non-mask counties vs. x9 in mask counties. (3/x)
Read 8 tweets
22 Nov
While it is too early for interventions to take effect in ND, I wanted to post an update regarding our quasi-experiment comparing SD/ND after ND implemented restrictions and mask mandates, effective Nov. 14th, and SD did not. (1/5)
First, cases: While ND is trending higher, both seem to have turned downward around the time ND implemented the mandates. No divergence so far. However, it is important to note that infections take around a week to be counted as a case, so any effect would not show yet. (2/5)
Second, hospitalizations: This also seems to have stabilized and turning downward in both states, although it is more pronounced in ND. (3/5)
Read 5 tweets
20 Nov
Many times, we go see a doctor or take a pill when we are feeling the worst, right before we would naturally be feeling better. Then we attribute the outcome to the intervention....

Like those who think lockdowns turned things around in Europe. (1/x)
Topol shows a few countries as examples to how "it can be done". He is missing one though, so I added that...

When these countries enacted restrictions, cases were already peaking. Lockdowns, again, did nothing. Below I show a few examples... (2/x)
UK enacted LD on Nov. 5. However, cases were flat since Oct. 24, and with a minimum 7-day delay between an infection and it being counted as a case, infections were stable since mid-Oct. Lockdowns were so effective that they worked two weeks before being implemented! (3/x)
Read 7 tweets
19 Nov
"In places where there is modest SARS-CoV-2 transmission (like Denmark during these months), there is insufficient evidence to suggest wearing a mask as you go about daily errands will protect you from infection."

Let's do a thought experiment... (1/x)
Imagine you are in combat, wearing an armored vest, which covers the areas of your body you are most likely to get shot. There are not many enemies, and a small number of bullets are coming. What are the chances that you will survive? (2/x)
But remember, if there are enough bullets, one of them will eventually hit you in the throat. Now the enemy deployed a brigade and they are raining bullets on you. What are the chances that the vest will save you? (3/x)
Read 7 tweets
18 Nov
In March, some argued that schools going remote was going to make online education more mainstream and more accepted as an effective form of instruction. I argued it was the opposite, that this was really bad for online degrees. (1/4)
Imagine being a student during all this and suffering through countless Zoom classes. Then graduating with your only online learning experience being this. Then you take on a role in which you begin making decisions about job applications. (2/4)
Then you get an application from someone with and online degree along with another a bit less qualified applicant with a traditional college degree. Which one do you give the job to? (3/4)
Read 4 tweets

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