TheEngineer2 πŸ‡¨πŸ‡¦ Profile picture
Mar 23, 2023 β€’ 19 tweets β€’ 8 min read β€’ Read on X
1/🧡on the earliest market cases and an exploration into where the market outbreak began. First, a summary of the situation highlighted in purple as of Dec 13, 2019. #RacoonDogGate
2/ 65M - His HSM stall (19-23 12th st, 20-24 11th st) sells frozen dumping, and he also owns stalls at Baishazhou. He is retired, but may do deliveries, is a visitor, and stall owner. Depending which source you use, he does them all (visitor, owner, delivery).
3/ He's also referenced in WHO report, table 7 pg 76 with onset Dec 13, 2019. However, his main activity at the HSM is socializing and playing mahjong. This puts him in his stall visiting staff on occasion, but mostly in the mahjong room on 5th street near the toilets.
4/ 49M - His stall (5-7 7sth st, 6-8 6th st) sells dry goods and condiments, oil, salt, sauce and vinegar. His onset is Dec 12, 2019 and he plays mahjong. His wife and brother also work in the stall, while 78M stepfather stays home.

nejm.org/doi/full/10.10…
5/ 57F - Her stall (14 2nd street) sells fresh shrimp, primarily to hotels. Her onset is Dec 10-11 depending on source. She doesn't play mahjong according to her interview with thepaper.

thepaper.cn/newsDetail_for…
6/ 57F is a clinically diagnosed patient. She elected to stay at Union hospital and never went to Jinyintan. It's obvious she's positive. After she visited Zhongsheng clinic for injections, 2 doctors and 2 nurses became sick and they shut the doors.

wsj.com/articles/how-i…
7/ 44M doesn't have a stall and is transportation staff. His calculated onset is Dec 12, 2019.

He might be responsible for driving shrimp product ordered by 69M from 57F stall, but further proof is needed.

ncbi.nlm.nih.gov/pmc/articles/P…
8/ 69M doesn't have a stall. He lives in Wuhan near the market, and places seafood orders for a hotel in Jingzhou. A separate delivery person delivers the product after he places the order.
9/ A market caretaker residing in East market dormitories for a long time was interviewed about the situation of the first 27 market patients. The English subtitles are telling, although you should substitute mahjong for cards in this case.
10/ The mahjong room was first described by Peter Hessler. With the description being near the toilets, one of the greatest searches in #OriginsOfCovid19 began by searching for a picture of the toilet - in order to locate the mahjong room.

newyorker.com/magazine/2020/…
11/ After more than 4 months of searching videos and pictures, we found the toilet. Phew, what a relief! We were so happy to finally find the toilet!

The pic was revealed in Peter Daszak's WHO slide deck contained in Katherine Eban's Vanity Fair piece.

vanityfair.com/news/2022/03/t…
12/ The picture in Peter Daszak's WHO slide deck matches Peter Hessler's "Nine Days In Wuhan" description. Thank you Peter and Peter!

Surprisingly, the mahjong room is located near the wild game area hot spot mentioned in the #RaccoonDogGate paper.
13/ But there's more!

Even the HSM market epicenter authors know about the mahjong room.

14/ Back to the first post of patient suspects. What does a Raccoon dog having in common with stalls selling fresh shrimp, seasonings and frozen dumplings? Nothing.
15/ 65M and 49M both play mahjong. It's possible the seafood buyer for hotel 69M and transportation staff 44M both interact with shrimp vendor 57F to deliver seafood to that hotel. After all, 57F specializes in sales to hotels. 57F doesn't play mahjong though.
16/ Speculation of the outsiders.
44M (possibly transportation of seafood to hotel) and 69M( places the order for hotel) most likely interact with 57F shrimp vendor(who sells to hotel).
The interviews of those at the market suspect the mahjong infections came from outsiders.
17/ I didn't post the other citations for mahjong super spreader outbreak at the market, although there are many. I don't believe the #RaccoonDogGate story.

There might be a zoonosis elsewhere, it's just not at the HSM. We need to stop wasting time on the HSM.
18/ There is more coming on this topic in a #MahjongMarketOrigins paper. It just needs to move to the top of the priority list.
19/ In the Gao preprint, they show 3 stalls with live virus isolate. 57F is one of the stalls, but she was at Union hospital by Dec 16, 2019. Sampling was much later in Jan. This is easily explained as she infected neighboring stalls and her family.
thepaper.cn/newsDetail_for…

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More from @Engineer2The

May 29
1/🧡on the mysterious sequences sanitized and/or removed from the PREDICT release to Genbank.

What could they be and what does Peter mean here? Image
2/ I went back to look at this FOIA after reading @gdemaneuf thread on the Myanmar/Laos/Vietnam sampling earlier today. It has a good summary and is well written, so I'd recommend reading that.

3/ This E-mail sent by Peter Daszak was obtained via FOIA - UC-Davis-prod-4-combined - Page #165. To my knowledge, nobody in the general public has determined exactly what sequences are being discussed here.

originsearch.io/pdf_viewer.htm…
Image
Read 16 tweets
May 17
1⃣ 🧡On a couple of Huanan turtle vendor Covid19 patients visiting Liu Deyan clinic in December 2019. Putting the pieces together. 🧩
2⃣ At around 21:20 of the HBO documentary "In the first Breath", two men walk into Liu Deyan clinic on Dec 21, 2019. This is REAL security surveillance camera footage from December 2019. The clinic is less than 2 min walk from Huanan market rear entrance.

documentaryarea.tv/video/In%20The…
Image
3⃣ From the other Chen 41M/57F video (with video overlay), we have 31M and 51M selling turtles. The video overlay contains details of the first 27 Huanan market cases. The video overlay was removed from thepaper official source.

The video archived:
mega.nz/file/LnoWHBjb#…
Image
Read 12 tweets
Feb 29
Ouch, it's a bit uglier than I thought. Not only did they transfer the filovirus samples to China, the samples were "synthesized" in Canada before being transferred.
PG184😱

CC: @RealAndyLeeShow Image
@RealAndyLeeShow Here's an unforced redaction error from PG284. Image
This was never a matter of national security.

It's a matter of international embarrassment. πŸ€¦β€β™‚οΈ Image
Read 15 tweets
Feb 6
1⃣ A deep dive into how the early cases of COVID-19 were dissected in Worobey 2021. This took me a while to realize and understand, so I hope you can follow along with the details.
2⃣ In Worobey 2021, Dissecting the early COVID-19 cases in Wuhan, there are 3 sources for 57F. The WHO report, The 57F/41M interview with thepaper, and the WSJ article buried in the supplemental.

science.org/doi/10.1126/sc…
Image
3⃣ The WHO report claims the earliest market case is Dec 11, 2019. That's because the Dec 10 case was not market related.

who.int/docs/default-s…
Image
Read 9 tweets
Jan 1
1⃣ A review of 62M LineageA, onset Dec 1, 2019 and early cases in Huang et al 2020 Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

DOI 10.1016/S0140-6736(20)30183-5 Image
2⃣ 62M was published a second time in Zhou et al 2020 A pneumonia outbreak associated with a new coronavirus of probable bat origin.

His onset was reported as Dec 12 (as opposed to Dec 1), but he got sick twice as noted in the footnote.

DOI 10.1038/s41586-020-2012-7 Image
3⃣ 62M is seen again in WHO report, this time with onset of Dec 26. He had taken his wife 62F1 to the hospital on Dec 25 who had onset Dec 15.

They also re-evaluate the early Dec 1-7 cases and found them to be false positive.

who.int/publications/i…
Image
Read 10 tweets
Dec 31, 2023
1⃣ A review of two earliest "officially recognized" Covid-19 cases. Among the most confusing cases are 57F Huanan Seafood Market shrimp vendor and 48F1 XX Yin.
2⃣ 48F1 had onset of Dec 10, 2019 and was transferred to Jinyintan hospital on Dec 31. She later died on Jan 20, 2020 after the rescue failed. She appears in the National Health Commission death reports summary.

nhc.gov.cn/xcs/yqtb/20200…
Image
3⃣ She is mentioned again in Early Transmission Dynamics. The December 10 non-market case is not 57F shrimp vendor, it's 48F1.

DOI: 10.1056/NEJMoa2001316 Image
Read 16 tweets

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