1/ So I found out this garbage meta-analysis is apparently being shared all over the place. I decided to take a look at the studies they cited as evidence that asymptomatic and presymptomatic spread are marginal. What I found was shocking to say the least.
2/ They only included four studies that analyzed asymptomatic or presymptomatic transmission. One of the four studies was based on 8 cases and their 23 contacts. Four cases were presymptomatic and four asymptomatic. One of their 23 contacts was infected.
3/ The one case of transmission was from one of the four presymptomatic cases. They did not analyze any cases of symptomatic transmission. ncbi.nlm.nih.gov/pmc/articles/P…
4/ The second study was based on just 19 index cases in Brunei, seven presymptomatic and four asymptomatic. They state that SAR for symptomatic cases (14.4%) was higher than for presymptomatic cases (6.1%), but that conclusion is fatally flawed. wwwnc.cdc.gov/eid/article/26…
5/ There was an outbreak after a social gathering, and all who attended were tested. Anyone who tested positive was sent to a national isolation center (NIC). All who had symptoms at testing were categorized as symptomatic.
6/ But here's the problem: they categorized all transmission by these symptomatic patients as "symptomatic transmission," despite not knowing whether the transmission occurred in the presymptomatic or symptomatic period. This is a pretty basic error.
7/ On to study #3. This study occurred early in the pandemic when those without symptoms were not tested. Therefore, it only included one asymptomatic patient. That's right—one asymptomatic case.
9/ The final study is from the South Korean call center outbreak. It includes just four asymptomatic cases and four presymptomatic cases (who showed no symptoms until after entering a quarantine facility). ncbi.nlm.nih.gov/pmc/articles/P…
10/ "Among 11 household members of presymptomatic case-patients and 4 household members of asymptomatic case-patients, none had COVID-19 symptoms nor tested positive after 14 days of quarantine."
Eight cases. 15 household contacts.
11/ To sum it all up, this meta-analysis which "could change everything" cites four studies including a total of 13 asymptomatic cases & 15 presymptomatic cases. If you don't believe me, read the studies yourself, citations 26, 43, 44, & 52. jamanetwork.com/journals/jaman…
Dr. LaFevers is correct. I only examined at their claims about asymptomatic & presymptomatic transmission. The rest of the study might be solid. But it was the claims about asymptomatic/presymptomatic transmission that caught fire among Covid denialists.
Follow-up: One of the most frustrating aspects of this study was their lumping together of asymptomatic and presymptomatic transmission in the "Results" section & their implication these two categories together have a household SAR of 0.7%.
Again, this meta-analysis included 15 cases from 3 studies in which presymptomatic transmission was analyzed. These were people who were without symptoms when they tested positive and were then placed in quarantine facilities. The Brunei study analyzed 7 presymptomatic cases.
But there's a major problem: Because these cases were isolated before symptoms appeared, the presymptomatic period was truncated, eliminating much (likely most) of the time period in which presymptomatic transmission is most likely to occur—the 2 days prior to symptom onset.
Again: the period during which presymptomatic cases are most highly infectious—the 2 days just before symptoms appear—are partially or completely absent in most of the 15 cases analyzed in this meta-analysis. Why attach a number for household SAR like 0.7% on such a thin basis?
And—crucially—as the authors of one of the studies noted, "Given the high degree of self-quarantine & isolation measures that were instituted after March 8 among this cohort, our analyses might have not detected the actual transmissibility in asymptomatic COVID-19 case-patients."
I recognize the study authors didn't intend for their findings to be hijacked & misrepresented by Covid denialists, but given statements like the ones below, I'm not at all surprised this happened, and I don't think the authors should have been either.
Finally, I want to apologize for calling this study "garbage" in the initial tweet. I'm only commenting on a small part of the study that was maliciously weaponized by prominent purveyors of misinformation. I'm sure the bulk of the study was well done, & the authors...
...shouldn't have to tolerate nobodies with no special expertise like myself making blanket pejorative statements on their entire study. I wrote this whole thing on a whim & never imagined more than a few people would ever see it.
That said...
...I stand by my criticisms of the asymptomatic/presymptomatic aspects of the study.
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1/ Thanks to help from @Poppendieck & @CorsIAQ, I've used my @AranetIoT CO2 meter to estimate the # of air changes per hour (ACH) in my classroom. CO2 builds up when students are in a room & falls when they leave. Description & graphs below. #covidco2@jljcolorado@ShellyMBoulder
2/ If you record the CO2 level each minute after the room empties, plug those measurements into the formula pictured below, and graph the resulting values as a function of time (designated in hours), the slope of a linear best-fit line reveals the ACH. @MarcelHarmon1@CathNoakes
3/ So the rate of change of the CO2 level functions as a proxy measurement for ventilation. I trust if you’ve made it this far, you are aware of the vital importance of ventilation in preventing aerosol-spread pathogens like SARS-CoV-2. @akm5376@jksmith34@stephensbrent
1/ I went to the eye doctor for a glaucoma checkup earlier this week & took my CO2 monitor with me to see how good the ventilation was there. It's a medical office & a new building (~3 years old), so I expected excellent ventilation. The ventilation was not excellent. #covidco2
2/ Instead, I was appalled to see the CO2 jump from ~500 ppm in my car to 1600+ immediately upon entering the building, which was actually quite empty apart from workers. I only saw one other patient the entire time I was there.
When I went back to an exam room for testing, the CO2 levels got even worse, nearing 2000 ppm. Here's the full day's CO2 levels, including the levels from my HS/MS classroom throughout the school day for comparison. @jljcolorado@CorsIAQ@ShellyMBoulder@jksmith34@Poppendieck
Pictured throughout thread are CO2 readings from my classroom Aranet4 CO2 meter. I have two 90-min classes (8:00-9:30, 9:40-11:10) & one 25-min homework/reading period (11:20-11:45) before lunch/prep from 11:50-1:15 & one 95-min class after (1:25-3:00). #covidco2 1/7
Like ~80% of the rooms in my school, mine has no windows, but I'm lucky to have two doors, one opening to the hallway and one to our science lab. #covidco2 2/7
When I can keep both doors open, CO2 usually stays btwn 1000-1200, depending on the size of my class, which varies from 11 to 26.
I have 11 HS students in my AP Physics class & 16-26 6th-graders in my other 5 classes. My room volume is 215 m^3, & area 78.3 m^2. #covidco2 3/7
@j_g_allen Did you actually get to ask this question to Fauci? I would love to hear his answer to this.
I would guess the true answer is that such research, while essential to public health, can't be transformed into corporate profits in any obvious way. It's the same reason... /1
@j_g_allen ...that research on patentable drugs gets funded lavishly while research on behavioral & environmental ways (as well as non-patentable medical remedies) to improve health get virtually no funding. Research comparing the efficacy of expensive new drugs to older, cheap drugs... /2
@j_g_allen ...is vastly underfunded as well because it undermines the profitability of pharma corporations. The underfunding of desperately needed research like your own is a serious problem, but it requires political reform to destroy the overwhelmingly dominant power of... /3