[url] https://coronavirus.dc.gov/sites/default/files/dc/sites/coronavirus/page_content/attachments/COVID-19_DC_Health_Guidance_For_Schools_Reopening_080621.pdf?fbclid=IwAR1WyV4PI8chTiJqH9UR4TjbiawPihDzU4ZVL9Cm903kZf0vSrA1a-50qQ4 It says that the classroom will shut down for 7 days if the people that were exposed are able to get tested after the 5th day. |
Or they'll say nothing we've learned applies because *waving hands* DELTA! There can be no parameters that are acceptable to the PP because nothing is delta-y enough. |
Read the ASM study. https://asm.org/Articles/2020/November/SARS-CoV-2-Testing-Sensitivity-Is-Not-the-Whole-St Not about spread in schools. |
I guess I wasn't clear. I wasn't saying delta affects the false positive rate - what this study is about - I was responding to earlier posts citing pre-delta studies about spread in schools to argue against testing. |
The "no research" poster will now reject the ASM study because it is not about delta. |
Yeah....this isn't that hard. The high false positivity rate is about population incidence. Even extremely high population incidence (what we in DC would think of as extremely high, at any rate) still gets a majority of false positives when you do random asymptomatic testing. |
You, my friend, are a nimrod. It must be nice to believe that a more dangerous variant doesn't affect anything. Delta spreads about 75% faster than the original virus. It doesn't make sense to believe studies of the spread of the original are still valid - at least until people who know what they're talking about come to some conclusions about it. |
OMG read the study. It has nothing to do with transmissibility. The thing that matters is the prevalence rate. The belligerent anti-science stance of some of you is just profound. |
|
Here is another study that might be useful for comprehension of this issue, since it seems to be challenging.
https://www.rcpjournals.org/content/clinmedicine/21/1/e54 This one's from a hospital, but note these conclusions: False positive results in low-prevalence settings False positive results are proportionally more of an issue when prevalence is low. Prevalence is a measure of how common a disease is in a specified at-risk population at a specific time point or period.5 It measures the disease burden for the specified population.5 Prevalence affects the pre-test probability of a disease being present and consequently impacts on the positive predictive value (PPV; the probability that subjects with a positive test truly have the disease) and the negative predictive value (NPV; the probability that subjects with a negative test truly do not have the disease).3 As the prevalence increases, the PPV increases but the NPV decreases. Similarly, as the prevalence decreases the PPV decreases while the NPV increases.3 The adverse outcomes associated with false positive results will be proportionally greater during periods of low prevalence.3 However, the individual impact of false positive results are significant at all times. False positive results in high-prevalence settings Although proportionally false positive results are less of a problem in high-prevalence settings when compared to true positive results, the overall percentage of false positive tests will not change. If testing increases as a consequence of high prevalence, the absolute number of false positive tests will also increase. A false positive result is less likely to be detected during times of high prevalence as the result will receive less scrutiny. |
She will only accept one particular research study based on empirical data acquired within the past month, on one very specific topic (delta and schools! schools haven't been open during delta times!), and also peer-reviewed. Anyone who knows anything about research knows that she can't possibly satisfied. Instead of deciding that she can't make conclusions without this evidence, she decides that it means she can make whatever conclusions she wants. |
You seem to be confusing infectiousness with virulence. |
|
Here's the math laid out:
Also note that this is saying that MATHMATICALLY, when you've got 50% of your population truly having the disease and a 95.1% testing specificity, more than half of your positives will be false positives. https://www.statsdirect.com/help/clinical_epidemiology/screening_test.htm |
New poster here. Not really. We all understand that Delta is more transmissible, and there is data to show that is tends to lead to more hospitalizations in each population compared to previous strains, even for pediatric populations. No data about deaths as yet. But even if it Delta was "only" more transmissible, it would end up being more disruptive than previous strains, and therefore, in popular parlance, more dangerous, because it spreads quicker and more people get sick, need time off work and school, are stressed out because they feel unwell and may need hospitalization, and consume expensive medical resources and personnel when they do end up in hospital. So yes, Delta is more dangerous than previous strains. The short-hand is actually true. |
No, I just mean that being more contagious makes it a more dangerous virus, not that it makes people sicker if they get infected. |
No. It is the same rate of hospitalization. Your short hand is imprecise and inaccurate. If you know that the "short hand" is wrong, and you know that it's about transmission/infectiousness, then use the right words. If you know the right words but refuse to use them, people have to wonder why you'd obfuscate the difference. |