Closed hnykda closed 4 years ago
I will try to give this a look, together with @Mati-Roy .
The actual calculation listed in here is old, this is the current model we'll be working with: https://www.notion.so/Modelling-d5e0bdaf1733416981ad12c78c69e7d3
@lagerros and what about view 2? I would guess request-calculation
(are these view numbers mapped to the actual name of the url path somewhere?) however #52 modifies both request-calculation
and selections
(selections
was also seemingly replaced by request-event-evaluation
...)
I'm sorry I don't understand the question. The thing that used to be called "view 2" is the same as #52
Yes but there there is modification of both selections.html template and result-calculations.html template which I believed are two different views. Is view 2 what I get when I click on "Request model" or on "Event prediction", or both?
@lagerros ? I need to know on which view function I need to implement #52
Sorry for late reply, slack is better for contacting me urgently
View 2 is what you get when you click on "Event prediction", as mvp:ed here http://epidemicforecasting.org/request-event-evaluation
View 2 is what you get when you click on "Event prediction", as mvp:ed here http://epidemicforecasting.org/request-event-evaluation
Thanks, I will contact you on slack in the future :)
just FYI / for ref.: I'm starting to work on the UI for the result page now
I submitted this pull request - I can't link it to this issue, perhaps I don't have appropriate permissions https://github.com/epidemics/covid/pull/96
Details of what was added: I added the parameter
It would be good to connect this to the other part of the model - I could replace it with a selection of beta values, for example
I added calculations of:
I set the template to display:
Comments: I had intended to display the expected infections and expected excess infections, but the expected infections number is often low due to the combination of a fairly small transmission probability and usually fairly small infection prevalence (if 10% of the population is infected, you probably know not to host an event). I think this is roughly correct - transmission probabilities are mostly low before peak. I feel a bit like I'm pushing my preferred action over model results, but I'm not super comfortable always showing low results for expected transmissions. One way that early events might hurt is that early transmissions may impact on the dynamics via e.g. reducing the efficacy of contact tracing, but I haven't modelled this.
For a given place, the user would input the size of an event; she would get a probability estimate someone is infected.
This will apply to the content reachable via navigation menu "Event Prediction" in the website, after submitting the form on this page.
Spec
Inputs:
user clicks on a button
Outputs:
AC