jthooker / covidmodel Goto Github PK

Hi Dr Thompson, thank you for making this code public.

I am trying to understand how 'Infections events' are factored. Is this factored into 'Physical distancing - time"?

To be more clear, does this model distinguish between the following 'infectious events', and if so, how are they graded?

• Changing an aged person's diaper in a nursing home
• Nodding at a neighbour in the park as you walk past them

Hello,

I meant to create a separate PR for discussion but when I pushed to master on my fork the Usage heading ended up getting included with the PR that fixed the link to the ODD Model

I'd like to run the model on my linux laptop.

Can you please share what needs to be installed are and then what command(s) to run?

thanks

No access to blog posts due to browsers refusing access to sites with expired certificates.

Link to blog docs in README and in:
#6 (comment)_

https://jasonthompsondotblog.wpcomstaging.com/2020/04/03/example-post-3/

BTW I see this problem often at other sites. There is a utility for auto-renewal of free certificates within the expiry limits.

Cannot recall where but should be easily found by search for "free SSL certificates".

PS are you familiar with PyRossGeo and FLAMEGPU? Combining them would seem a far more promising platform than Netlogo to produce a model that actually explores the serious heteogeneity.

Hi Dr Thompson, thank you for making this code public. I just wanted to get a bit of an understanding whether some of the current restrictions are included in the model. Am I correct in thinking the model essentially treats all masked encounters with the same weight, ie there isn't any weighting for indoor/outdoor interactions? There also don't appear to be variables for the curfew, exercise time limits or the effect of the solo person living bubbles. Are these factored into the model via some other variables? Just looking at the list of recommendations from the July 17 pre print, there seem to be measures adopted by the government that were not recommended as part of the stringent approach. I am trying to understand where these measures came from and whether the model can be run with finer grains like masks indoors only, single bubble vs no single bubble, different curfews, different exercise time limits, etc?

Thanks in advance for your sharing of this github.

I looked through the content of the Modelling, inputs, etc.

Is there a consideration of the Health Outcomes over time?
For each month from February:

• number reported cases
• number cases needing hospital
• number of no symptoms vs mild symptoms vs serious symptoms of those in hospital
• number who died
• number of people with ongoing health impacts (no impact vs low impact vs mild impact vs serious impact)

I imagine Masks and Distancing would have an impact on all those important measures.
That over time, the serious impacts of the virus, may in fact reduce in severity.

Thanks
Vee

Thank you so much for sharing this code. I was wondering what type of computer is this usually run on and if it is possible to maximise either on a multi core-cpu or gpu? I am running on a 16 thread CPU and it barely seems to be over 10% utilisation.