Interesting new preprint trying to assess surface transmission of COVID-19/SARS-CoV-2.

tl;dr RNA is everywhere but in very low amounts; surface sampling could be useful for surveillance. Risk of infection unknown b/c study didn't look at live/infectious virus.
Short thread
Background
One of the huge early questions about transmission of SARS-CoV-2 was if the virus could be easily transmitted on surfaces. We all heard 1000s of times how much we should wash our hands, in part, to protect us against surface transmission. But...
Epidemiological evidence rarely suggested surface transmission was major issue. The best evidence for the absence of its importance (which is a hard thing to study!) was that (nearly?) all early cases in some locations (e.g. Singapore) could be traced back to known close contact.
A few cases have been linked to surface transmission (trash bin in NZ: rnz.co.nz/news/national/…; possibly an elevator, a chair & at a mall: ), but in general it's not thought to be an important mechanism.
Even CDC, which still puts hand washing as a top priority for protecting yourself, clearly states that it's a rare transmission pathway:
This new study swabbed a bunch of high-touch surfaces in MA & found SARS-CoV-2 RNA on ~8% of 348 samples. Initial reaction might be: yikes! It's everywhere! But remember, test is for RNA, not infectious virus.
medrxiv.org/content/10.110…
Sadly authors don't try to culture any of their samples, so it's not clear if ANY had infectious virus. Also, there's (still) no estimate of the infectious dose for SARS-CoV-2 (@angie_rasmussen) so even if they had cultured some, they couldn't really put a risk probability on it.
But the authors DO claim to estimate a risk of infection & even state an upper bound in abstract. How can they do this? Magic! Sort of. A QMRA (quantitative microbial risk assessment).
For QMRA authors used data from other viruses for many parameters. I think authors should remove this calculation. It provides a false sense of quantification when none is actually possible (@callin_bull might use it as an example), even within order of magnitude.
So what can we learn from this study? It provides interesting insight into how often one can pick up viral RNA on high touch surfaces & suggests these might be ways to do surveillance, similar to sewage.
Authors claim it might even be a leading indicator of cases but I don't find this convincing. Authors have to exclude some early points to get the correlation to be significant & even then it's not especially strong to me. However, I still think it's very useful.
One huge advantage of this sampling strategy (compared to sewage, for example) is that one can target specific locations (doorknob of building) & if building use is by a known population (e.g. a school) one could then test people when RNA is detected on surfaces.
If RNA is detected before cases (which is likely in a young pop where most cases will be mild or asymptomatic), one could possibly monitor a large population w/ a much smaller # of samples.
So, I would love to see follow-up studies by other groups (schools!) & see if surface sampling can indeed detect RNA before cases are observed. We need all the tools we can to find infected people & this could be one more useful tool in our toolbox!

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More from @DiseaseEcology

31 Oct
New paper showing very high household transmission of COVID-19 in US. I haven't seen detailed summary, so here's one. There's a ton here to think about. Kids, culture, COVID.
Thread.
cdc.gov/mmwr/volumes/6…
Background
Transmission of SARS-CoV-2 occurs primarily through sustained close contact. Certainly there are rarer more distant spreading events, but study after study shows that close contacts have an order of magnitude higher chances of becoming infected.
In case you want refs for this very well supported claim, here's a couple (& some data):
wwwnc.cdc.gov/eid/article/26…
thelancet.com/action/showPdf…
Read 24 tweets
29 Oct
How many SARS-CoV-2 infections are there per COVID-19 case now?
Early estimates & guesses suggested there were 10 infections for every case, but these estimates were done when testing capacity was very low. With higher testing capacity & better engagement where are we now?
Thread
Background
It's well known that confirmed COVID-19 cases are only a fraction of all infections. Infections can be missed because people are asymptomatic, have mild enough symptoms that they don't get tested, or can't get tested even if they want to due to accessibility.
In Mar-Apr underascertainment of infections was so large & uncertain it led to claims that there may have been hundreds of infections per confirmed case. A famous example is paper suggesting 1/2 of UK MAY have been infected by Mar
ft.com/content/5ff646… medrxiv.org/content/10.110…
Read 23 tweets
26 Oct
Very provocative new paper by @dylanhmorris @jlloydsmith on effects of temp & humidity on survival of SARS-CoV-2 on surfaces. Need to be careful in interpreting most novel aspects of this paper.
Thread.
Background
Effects of temperature & humidity on survival of viruses is potentially of huge importance as it can influence transmission b/w people & has been argued to be key mechanism driving flu seasonality. See perspective by @mlipsitch C Viboud pnas.org/content/106/10…
New paper suggests that viral survival on surfaces declines w/ temp & is lowest at intermediate humidity. If robust, could guide how to reduce risk of indoor transmission - warmer & 40-60% RH best. Indoor risk v important for next 4-6 mo. But... Image
Read 18 tweets
16 Oct
@CDCgov needs to harmonize/update all websites on spread of COVID-19
1 updated page has clear &(nearly) accurate information:
cdc.gov/coronavirus/20…
(here's detailed thread on update:
)
Many other CDC pages still focus on wrong mechanisms of spread
Thread
Updated page is clear about #1 mechanism of spread:
close (<6') contact
It also makes it clear that further >6' spread is possible
("airborne transmission") & when this occurs (indoors, poor ventilation)
Perhaps most importantly it accurately tells people how to be safe. Image
Relative ranking isn't completely right, but pretty good (still too much focus on surfaces, hand washing). For far more details on update see:
Read 11 tweets
10 Oct
How do we survive next 6-12 months?
Tweets by @TinaG_SD epitomize what many feel - even w/ relatively good measures in place, as in CA (mask mandate, bars/restaurants closed or nearly so, sick pay, etc.), transmission continues & cases ebb & flow & restrictions crush jobs.
Thread
COVID cases are surging in many parts of the US now where there are few measures in place (no mask mandates, open bars, etc.).

These measures certainly help but don't seem to be enough (see previous tweet). Why?
Transmission of COVID-19 is inherently a 2 step process. Step 1: Transmission w/in households is rapid with whole households sometimes getting infected.
Step 2: Transmission between households.
Read 17 tweets
5 Oct
CDC's updated webpage on how COVID-19 is spread & prevention tips is now (almost) in line with science!
(WHO please do the same!)

(Hooray! only 10 months into epidemic & when Trump in hospital so maybe isn't paying attention?)
Thread
cdc.gov/coronavirus/20…
Webpage 1st summarizes dominant mode of transmission which is consistent with epidemiology data: mostly from people w/in 6' of each other & clearly states that people w/out symptoms (pre-symptomatic or asymptomatic) can transmit also!
2. Website give ranking of how easily SARS-CoV-2/COVID-19 spreads relative to flu and measles.
(I'm not sure this is supported by data. R0 is higher than flu, but might be due to length of infectious period, not higher infectiousness. Anyone know of data to support/refute?)
Read 10 tweets

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