⚠️Restaurants appear to be among the most riskiest and common places to get infected with the #COVID19, but we still don’t trace close to enough. How sure are we about bars and restaurants being major spreaders? Pretty darn sure. 🧵
californiahealthline.org/news/failed-co…
2) Out of the many social distancing restrictions states chose to implement at the beginning of the pandemic, shutting down restaurants had the strongest correlation to reducing the spread of the disease, according to researchers at U of Vermont. ncbi.nlm.nih.gov/pmc/articles/P…
3) In Japan, investigators use contact tracing to identify clusters of disease where people live or congregate. Out of about 3,000 cases confirmed from January to April in that country, investigators could identify 61 clusters, 16% of which were in restaurants or bars.
4) A recent Stanford University-led study that used mobile phone data from different cities to create a simulation of viral spread suggests that restaurants operating at full capacity spread four times as many additional COVID-19 infections as the next-worst location, indoor gyms
5) CDC study across 10 states found that those who had tested positive for COVID-19 were more than twice as likely to say they had dined at a restaurant in the two weeks before their illness began, compared with those who tested negative. ncbi.nlm.nih.gov/pmc/articles/P…
6) In China, for instance, contact tracing revealed how a restaurant’s air conditioning unit may have carried a positive patient’s viral droplets from one table to two others, infecting nine other people. ncbi.nlm.nih.gov/pmc/articles/P…
7) Great reporting by @annaalmendrala in this story. californiahealthline.org/news/failed-co…
8) I really want people to dive into this Stanford study that used @SafeGraph data. It clearly shows just how much each contribute to additional infections from reopening: clearly restaurants top, but also gyms, cafes, hotels, limited service restaurants. nature.com/articles/s4158…
9) Moreover, full service restaurants (light blue) were modeled also as major infection source across many metro areas.
10) Also what about these businesses and infection across income groups? Full service restaurants again stand out. But notice how among high income groups, **cafes and gyms** stand out a lot more as infection groups. While in low income groups, **churches** and grocery stores.
11) What is the best way to measure risk of aerosol transmission indoors? Use this Very interactive calculator.

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More from @DrEricDing

1 Dec
Florida.

That’s it. That’s the tweet. #COVID19 Image
3) and this—Remember the Florida retirement home Trump rally? Well it just saw a significant jump in #COVID19 patients on Friday. **39** new COVID-19 cases were reported in and around the Villages.

...this is why we epidemiologists still cry everyday.

villages-news.com/2020/10/30/vil…
Read 5 tweets
1 Dec
NEW—#GDP 2020 projections of @OECD countries. Hardest hit: 🇬🇧 🇦🇷.

🌎-4.2%
🇦🇺-3.8%
🇨🇦-5.4%
🇪🇺-7.5%
🇩🇪-5.5%
🇫🇷-9.1%
🇮🇹-9.1%
🇯🇵-5.3%
🇰🇷-1.1%
🇬🇧-11.2%
🇺🇸-3.7%
🇦🇷-12.9%
🇧🇷-6.0%
🇨🇳+1.8%
🇮🇳-9.9%
🇮🇩-2.4%
🇲🇽-9.2%
🇷🇺-4.3%
🇸🇦-5.1%
🇿🇦-8.1%
🇹🇷-1.3%
(HT @pitres)
oecd.org/economic-outlo…
2) New— @OECD #GDP 2021 projections.

📌Fast vacc➡️+$3 T

📌Slow vacc➡️-$4 T

🌎 4.2%
🇦🇺 3.2%
🇨🇦 3.5%
🇪🇺 3.6%
🇩🇪 2.8%
🇫🇷 6%
🇮🇹 4.3%
🇯🇵 2.3%
🇰🇷 2.8%
🇬🇧 4.2%
🇺🇸 3.2%
🇦🇷 3.7%
🇧🇷 2.6%
🇨🇳 8%
🇮🇳 7.9%
🇮🇩 4%
🇲🇽 3.6%
🇷🇺 2.8%
🇸🇦 3.2%
🇿🇦 3.1%
🇹🇷 2.9%

(HT @pitres) #EconomicOutlook #COVID19 Image
3) If #COVID19 vaccinations rollout is slow, the effect with be a further -3.4% or -$4 trillion.

However is vaccine rollout it fast... (next post)... Image
Read 4 tweets
1 Dec
NEW—The coronavirus was in the US in mid-December 2019, a few weeks before it was officially identified in China, according to CDC analysis of blood donation samples. This also matches waste water analysis that found virus earlier in Europe. 🧵 #COVID19
wsj.com/articles/covid…
2) This also matches early indicator data that already found excess flu illnesses in Hubei province (where Wuhan is) in early December as well.
3) here is the earlier waste water study of #SARSCoV2 coronavirus in cities in Northern Italy in mid December already. This matches the reports that it’s been circulating in December before Wuhan outbreak was realized.
Read 8 tweets
30 Nov
📍DEADLY CHURCH EVENTS: 213 #COVID19 cases and 12 deaths after NC church held large gatherings in early Oct without enforcing masks or social distancing.

➡️Yet WH muzzled CDC when it tried to restricted ⛪️, & SCOTUS also overturned / banned church limits.
people.com/health/covid-o… Image
2) Here was how WH muzzled the CDC on risky church activities.
3) Just days ago, US Supreme Court ruled that states could not enforce strict attendance limits on places of worship, even in areas designated coronavirus hot spots. Welp, so much for church advocates being pro life. #COVID19 npr.org/sections/coron…
Read 8 tweets
29 Nov
COVID BECOMING A CHRONIC DISEASE: ~10-35% suffer persistent symptoms, mostly neurological: autonomic nervous system dysfunction, sleep, pain, dizziness, cognitive difficulties. A study even 1/3 after hospitalization had memory problems. #LongCovid #COVID19

Join @Survivor_Corps
2) Highlights

📌The neurological manifestations of COVID-19 are the most disabling and are the most significant long-term complications of SARS-CoV-2 infection which has major socio-economic consequences.

sciencedirect.com/science/articl…
3)

📌The infection affects all parts of the nervous system even though direct invasion by the virus is limited.

📌The complications are potentially preventable or treatable if the underlying pathophysiology is understood.
Read 4 tweets
29 Nov
Still can’t let go of this:

Purdue Pharma is so corrupt in opioid peddling, but Sackler family doesn’t get any jail...

Despite Sackler family being exclusive deciders of the scheme.

And neither jail or fines for McKinsey that concocted the disgusting opioid $ kickback scheme.
2) it’s all here. nytimes.com/2020/11/27/bus…
3) opioid peddling kickback scheme exclusively decided by Sackler family. Yet they just get a fine and only have to reorganize their company. Zero jail time.
Read 4 tweets

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