America has few opportunities for kids who are born poor, school has long been one of them
Other countries recognize that schools provide upward mobility, detect child abuse, provide a hot meal, educate kids, allow them to develop socially
NC schools experience:
11 districts data; ~100k
in person school
Aug to Oct 2020
NC had 1-2 cases per 1k pop (that's brisk)
733 community acq cases
If schools' transmission mirrored the state
Expected 800+ cases in school
Actual:
32 in school transmissions
Thoughts
[thread]
America has few opportunities for kids who are born poor, school has long been one of them
Other countries recognize that schools provide upward mobility, detect child abuse, provide a hot meal, educate kids, allow them to develop socially
The mantra used is that schools are a threat to kids and teachers
It showed incredibly low risks to students and teachers from open schools (without even masks!)
https://t.co/ocB8hRtFSz
REAL data on schools from Sweden
— Dr. Vinay Prasad MD MPH, Associate Professor (@VPrasadMDMPH) January 7, 2021
Schools open Mar-June
2 mil kids
No MASK
Soc distancing
No HVAC renos
No change in death for kids
15 -> ICU
0 deaths from COVID
RR of being teacher & requiring ICU for covid
= 1.10 (95% confidence interval [CI], 0.49 to 2.49
[thread] pic.twitter.com/5AzhceIFGL
" Our data support the concept that
schools can stay open safely in communities with widespread community transmission"
https://t.co/PJpKGXLrMV
schools can stay open safely in communities with widespread community transmission"
schools can stay open safely in communities with widespread community transmission"
Yes of course we can design larger, more representative and bigger studies, we can even randomize school reopenings
That's what sensible people would do @AtleFretheim
But where we are emotionally is so far from this
Folks are living in denial
This is where I end up
After weighing tradeoffs
My journey
https://t.co/xiU8yU8hO0
My view on schools-- they ought be open in all but rarest instances-was reached from late summer to fall, when I spent considerable time examining the risk of virtual schools to kids vs. the risk of in person schools to kids, teachers, community
— Dr. Vinay Prasad MD MPH, Associate Professor (@VPrasadMDMPH) January 8, 2021
Here is my journey
[thread]
More from Education
Last month I presented seven sentences in seven different languages, all written in a form of the Chinese-character script. The challenge was to identify the languages and, if possible, provide a
Here again are those seven sentences:
1) 他的剑从船上掉到河里去
2) 於世𡗉番𧡊哭唭𢆥尼歲㐌外四𨑮
3) 入良沙寢矣見昆腳烏伊四是良羅
4) 佢而家喺邊喥呀
5) 夜久毛多都伊豆毛夜幣賀岐都麻碁微爾夜幣賀岐都久流曾能夜幣賀岐袁
6) 其劍自舟中墜於水
7) 今天愛晚特語兔吃二魚佛午飯
Six of those seven sentences are historically attested. One is not: I invented #7. I’m going to dive into an exploration of that seventh sentence in today’s thread.
Sentence #7 is an English-language sentence written sinographically — that is, using graphs that originate in the Chinese script. I didn’t do this for fun (even though it is fun), or as a proposal for a new way to write
I did it as a thought experiment. Why? Because thinking about how the modern Chinese script might be adapted to write modern English can give us valuable insights into historical instances of script borrowing, like those that took place centuries ago in Japan, Korea, and Vietnam.
\U0001f17b\U0001f130\U0001f17d\U0001f176\U0001f184\U0001f130\U0001f176\U0001f174 \U0001f180\U0001f184\U0001f178\U0001f189
— zev handel (@ZevHandel) December 17, 2020
The following sentences are in seven different languages, all written in Chinese-character script (or a modification of it). Can you identify the languages?
Sentences are in thread.
(1/3)
Here again are those seven sentences:
1) 他的剑从船上掉到河里去
2) 於世𡗉番𧡊哭唭𢆥尼歲㐌外四𨑮
3) 入良沙寢矣見昆腳烏伊四是良羅
4) 佢而家喺邊喥呀
5) 夜久毛多都伊豆毛夜幣賀岐都麻碁微爾夜幣賀岐都久流曾能夜幣賀岐袁
6) 其劍自舟中墜於水
7) 今天愛晚特語兔吃二魚佛午飯
Six of those seven sentences are historically attested. One is not: I invented #7. I’m going to dive into an exploration of that seventh sentence in today’s thread.
Sentence #7 is an English-language sentence written sinographically — that is, using graphs that originate in the Chinese script. I didn’t do this for fun (even though it is fun), or as a proposal for a new way to write
7) \u4eca\u5929\u611b\u665a\u7279\u8a9e\u5154\u5403\u4e8c\u9b5a\u4f5b\u5348\u98ef \u2013 Modern English
— zev handel (@ZevHandel) December 21, 2020
Today I want you to each two fish for lunch.
That this sentence is a written form of English is undeniable, as the sentence is made up entirely of English words following the rules of English grammar. 23/
I did it as a thought experiment. Why? Because thinking about how the modern Chinese script might be adapted to write modern English can give us valuable insights into historical instances of script borrowing, like those that took place centuries ago in Japan, Korea, and Vietnam.
Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
