'Hands-On' no screen tasks + Covid data?

Online learning going well - eyes getting tired, headaches maybe more frequent . . . starting to think about "balanced diet" between online tasks and practical 'making tasks' or at least, pen & paper (NO computer) work for mathematics and some asynchronous elements (I mark previous class's work during 6th to 25th minute of next class): 

  • First 5mins I explain task and remind where the necessary resources are. 
  • 20mins of lesson students work on a pre-defined task (posted in Managebac, Google Classrooms/Docs etc. i.e. online!). I get on and mark/review work set to class that just left.
  • 5mins After 20mins, students 'share' their work. A number of ways of doing this: a photo of their paper working out, working out in Onenote classroom, all students show their work using the 'video' teams/hangout etc functionality.
  • 5-10mins : I go over, live (Teams, Hangouts, Zoom etc.) any common questions/any common misunderstandings. 
  • Next 20mins - I set the task (take 5mins to explain task).students work, I look through their work from previous 20mins.
  • Last 5mins - students upload pictures etc. of their work which I will look through & prepare feedback for them in next lesson, using 20minutes of my next lesson (whilst the next class works on their practicaly/making activity).

This activity:  Prism Volumes for example could extend over 1 or 2 lessons. From experience I recommend sand or sugar or rice etc. rather than water!!

'Quarantine' - for how long?

Using Data to explore: "Quarantine everyone - or just the "at risk" people and over 60s (over 50s(?))?" 

I trust the consensus of our world healthcare experts, and our politicians. Between them, if they say quarantining whole country's is the best policy, then I accept that. What this leads me to ask is - how long for? 

I've found it hard/very hard to get data on:

  • Age distribution of those in a CRITICAL (requiring hospitalisation certainly, ventilation machines(?) - the definitions of 'critical' are not always clear, or the same, between sources) 
  • Comparable data on age distribution of number of cases (statista.com is only source I've found so far, but the age countries used from one country to next are not identical, this article comparing Italy and Korea is interesting: A Tale of Two Death Rates: Italy and Korea (I've not followed up their data sources to check . . )).
  • My Father-in-law, Gilles, just sent me (Fri 20th March) this excellent report from Imperial College that contains AGE DISTRIBUTION DATA

Much of what we're hearing seems to suggest that Covid-19 is particularly dangerous for the over 60s and those with underlying health conditions. This lead me to wonder if, after 15 days / 30 days / x days (?) a feasible alternative could be to safeguard and protect our over 60s and those with underlying health conditions with a quarantine, but, to reduce the economic consequences and resulting political/social issues this may cause (which will be very hard to calculate and pinpoint) allow under 60s (under 50s ? The cut-off would need to be data-drive) to return to 'normal' life, but with the added precautions of hand-washing, everyone knowing the symptoms of Covid-19 and keeping 2m between ourselves, as much as possible.

Is there any evidence to support this course of action? 

I found this article (author's credentials as a Standford Professor of medicine follow) interesting, and measured. 

John P.A. Ioannidis is professor of medicine, of epidemiology and population health, of biomedical data science, and of statistics at Stanford University and co-director of Stanford’s Meta-Research Innovation Center

. . and looked up age distribution graphs by:

  • number of cases
  • death rate
  • 'Severe' (I didn't manage to find this information, so used the below "% of deaths per total cases" age distribution data as a guideline for the proportion of the total number of "severe" conditions accounted for by each age group)

Given as I was unable to drag myself away for researching this data, and that it was a question that, I felt, only mathematics could really answer, I put together some graphs ready to investigate this question with my 14-16 year old classes later this week. 

I think I would start just by giving them the below graphs and above article (which is long and uses very adult reasoning and language - so for many I'll just ask them to higlight, in a quick, scan-read, any key points that stand out) and ask them:

Q1) How would you use the below graphs to make a case, for or against, a quarantine only for people with a"health condition or over 60 (or 50?)" after 15 days, 30 days general population quarantine? 

AGE DISTRIBUTION of those infected with COVID-19 (South Korea)

Source: www.statista.com/statistics/1102730/south-korea-coronavirus-cases-by-age/

DISTRIBUTION of total covid-19 cases that were/are: 'mild', 'severe' and 'critical' COVID-19 (China)

Source: https://ourworldindata.org/coronavirus

Source: https://ourworldindata.org/coronavirus

Q2) What assumptions have we needed to make to be able to use these graphs all together? 

Some examples of necessary assumptions:

  • No data on numbers of people in under 50 category with "health conditions", so this has not been considered (and should, 'lower' a little the calculated probabilities (see end of this page) for under 50 fatalities or 'severe' forms of Covid-19)
  • China & Korean data - we assume Korea's stats on deaths etc. will be similar to China's
  • No data on age distribution of 'severe cases' so have assumed that the proportions of each age group with a 'severe' form of co-vid will follow the same proportions as those with fatalities.

Q2 (b)  Using the above graphs figures, I came up with a very rough estimates (data, assumptions etc. etc.):

under 50s chance of dieing from Covid-19: 

\(\approx\) 0.350% \(\approx\) 7 in 2000 \(\approx\) 1 in 286 

and a probability of being admitted to hospital for assistance overcoming the effects/to be able to recover from Covid-19 as:

\(\approx\)1.31% \(\approx\)1 in 76 

(i) What do you get? Show all  your working out

Based on these figures, would you recommend such a policy? 

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