Code Monkey home page Code Monkey logo

Comments (7)

keugens avatar keugens commented on July 29, 2024 1

I think this question is very valid.

Consider a meeting with an asymptomatic group of persons. A group, which lives in the same household and has probably the same virus regarding its mutation and development. From a physical point of view, I would say: yes, the virus flow will sum up. If an infection starts after 15 min with one person, it will start approximately after 8 min with two persons.

From an epidemiological point of view, one could answer: the initial dose is very small, therefore the accumulation from multiple sources and over time does not really matter. The 15 min threshold is applied only with respect to the probability to receive this small initial dose.

That might be true. But again, from my humble point of view, I would answer: multiple sources will increase this probability as well.

Therefore, for me, this seems to be the way to go, as long as there are no studies to prove the opposite.

from documents.

keugens avatar keugens commented on July 29, 2024 1

Theoretically yes. For multiple sources - all lower than 2 meters in distance - you could calculate a reduced duration threshold. But as mentioned in the LASCEC report, the knowledge of multiple sources is a bad thing due to privacy.

from documents.

timokau avatar timokau commented on July 29, 2024

The way I understood it, his assumption is that the vast majority of infections still come from a single source. Its just that the "channel" is wide enough that multiple virus strains might be transmitted at the same time.

He hypothesizes that the amount of virus that is initially transmitted may influence the severity of the illness.

from documents.

r-r-liu avatar r-r-liu commented on July 29, 2024

from documents.

r-r-liu avatar r-r-liu commented on July 29, 2024

Remember, there's a cost for false positives, i.e., voluntarily going into quarantine. Even if one's salary is paid during that time, one's belief in the app should not be taken for granted. Just dead reckoning (𝛑 × 👍), two false positives is probably the most anybody can be expected to accept before ignoring the next warning.

I understand that some parameter for computing the exposure risk are passed to the app. If that so, are they such that the case of multiple sources could be covered in by simply adapting one or more of them?

from documents.

r-r-liu avatar r-r-liu commented on July 29, 2024

I return to this point having read (1) the document on exposure score calculation (several times) and (2) an article in today's (2020-09-05) Basler Zeitung, "Nähe zu Testcenter führt zu Covid-Fehlalarmen bei Pflegekräften".

Questions about my understanding of the exposure score calculation:

Are these observations of mine correct?

  • The document describes a calculation that seems not to distinguish between various sources (i. e., app users who have tested positive) of the exposure keys.

  • In the end, it seems to me, each attenuation range bucket contains a single number representing the total duration of exposure to all users who submitted keys for the day in question, and so, if I am not mistaken, the app warns if the sum of the attenuation-weighted exposures exceeds 15 minutes per day.

My reason for concern:

The article in the BaZ describes a situation where a Covid-19 test center of BL has been opened in a building that houses classrooms for students studying to become healthcare professionals. The students walk past lines of people waiting to be tested several times a day, may even ride public transportation with them to arrive at the same building, and have been receiving what they, resp. the health authorities of BL, consider to be false warnings. So the students turn off exposure logging in those situations because they clearly have not been exposed to any single person waiting to be tested for 15 minutes or more. If my understanding of the exposure score calculation is correct, the app is behaving as designed and has very good reason for doing so. For, although the app doesn't know this, the students whose classes take place in this building are specializing in the care of the elderly, and after classes many of them have contact with elderly patients in homes or hospitals!

Again, if my understanding of the exposure score calculation is correct, what the app is doing must be communicated to the public so that users can make an informed choice, when to turn off exposure logging and when not to.

from documents.

r-r-liu avatar r-r-liu commented on July 29, 2024

I have found the answer my question here: https://github.com/admin-ch/PT-System-Documents/blob/master/SwissCovid-ExposureScore.pdf . Assuming that document in admin-ch is still current, the answer to my question is yes. The document in admin-ch is very explicit on this point:

"In Switzerland, an exposure notification should be shown to a person if that person has been exposed to COVID-positive individual(s) for 15 minutes or more during one day (​Ordinance of 6/24/20 of the Swiss Federal Council). The Annex of the Ordinance specifies a threshold distance of 1.5m, which is lower than the 2m threshold established by the ​ECDC." (pg. 7)

So is the text to which "Ordinance" links:

"si la comparaison révèle qu’un téléphone portable s’est rapproché à moins de deux mètres d'au moins un participant infecté et que la durée totale de cette proximité atteint ou dépasse les quinze minutes au cours de la même jour- née, l'application envoie une information." (pg. 4).

from documents.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.