The purpose of this question is NOT to help with the ongoing real research.
Rather, I want to use the excitement of living in a pandemic to learn new stuff, mostly statistics and computer modelling. I noticed that I’m wasting a lot of energy reading clickbait articles and I want to redirect that energy towards something more productive in the long term. (Side-note: generally my self-improvement meta-strategy is redirecting emotional impulses with minimal willpower, rather than imposing self-discipline which in my experience depletes more willpower and is less enjoyable.)
I’m interested not only in health outcomes but also/mostly economic ones.
Resources I have identified so far:
http://jvalue.co.uk/papers/J-value-assessment-of-combating-Covid-19-Thomas-23.3.2020.pdf (the draft from U of Bristol that recently made the news since it provides an estimate of a cutoff cost above which harm to the economy will cause more deaths than Covid-19). I’m also going to follow up on select bibliography, although without much excitement because the most promising citations seem to be to earlier papers by the same team.
For the sake of other readers who might also be interested, any related resources and advice will be very welcome.
My own background is in C/C++ programming with some Python experience and nearly all of statistics knowledge forgotten. I would prefer my study to focus more on maths, statistics, etc. since it should yield greater proportional gain in knowledge for time invested (since my starting point in computer-related fields is much higher and so my learning curve will be flatter), and also because I’m working as a full-time programmer so I prefer to do other things in my free time.
[Question] How to study statistical/computer modelling of the current pandemic and its outcomes?
The purpose of this question is NOT to help with the ongoing real research.
Rather, I want to use the excitement of living in a pandemic to learn new stuff, mostly statistics and computer modelling. I noticed that I’m wasting a lot of energy reading clickbait articles and I want to redirect that energy towards something more productive in the long term. (Side-note: generally my self-improvement meta-strategy is redirecting emotional impulses with minimal willpower, rather than imposing self-discipline which in my experience depletes more willpower and is less enjoyable.)
I’m interested not only in health outcomes but also/mostly economic ones.
Resources I have identified so far:
http://jvalue.co.uk/papers/J-value-assessment-of-combating-Covid-19-Thomas-23.3.2020.pdf (the draft from U of Bristol that recently made the news since it provides an estimate of a cutoff cost above which harm to the economy will cause more deaths than Covid-19). I’m also going to follow up on select bibliography, although without much excitement because the most promising citations seem to be to earlier papers by the same team.
https://gabgoh.github.io/COVID/index.html - interactive visualisation of the commonly used epidemic model with tweakable parameters and a brief writeup explaining the model
https://www.stlouisfed.org/~/media/files/pdfs/community-development/research-reports/pandemic_flu_report.pdf “Economic Effects of the 1918 Influenza Pandemic” This article was recommended to me but I haven’t even skimmed through it yet.
For the sake of other readers who might also be interested, any related resources and advice will be very welcome.
My own background is in C/C++ programming with some Python experience and nearly all of statistics knowledge forgotten. I would prefer my study to focus more on maths, statistics, etc. since it should yield greater proportional gain in knowledge for time invested (since my starting point in computer-related fields is much higher and so my learning curve will be flatter), and also because I’m working as a full-time programmer so I prefer to do other things in my free time.