Category: facebook

March 20 2020, 09:27

In Baltimore, the mayor has asked people to temporarily stop shooting each other so that the injured do not occupy hospital beds needed for COVID patients. Apparently, if you’re going to shoot, you might as well go all the way. Or let them run.

https://baltimore.cbslocal.com/2020/03/18/we-need-those-beds-baltimore-mayor-urges-people-to-put-down-guns-after-violence-continues-during-covid-19-pandemic/

March 15 2020, 14:25

I’m not a medical professional, but perhaps (a question to the medical community – are there any?), it might be worth buying Plaquenil or Immard (Hydroxychloroquine), while it is still available in pharmacies (though it is prescription-based). It is used, among other things, for malaria prevention, and seems quite safe. However, a recent article at the link claims it may be useful for treating the ill. Costs only 300 rubles in Russia.

If there are any medical professionals – I would appreciate comments.

https://www.ncbi.nlm.nih.gov/pubmed/32150618

March 13 2020, 20:38

What would be really useful is the probability of dying from COVID-19 in a specific place at a specific time for a specific age considering coexisting diseases.

It seems that there is enough raw data for this. Maybe it exists somewhere and we can play with it ourselves?

For example, there is a population density map. Of course, New York has a density of 10,000 people per square kilometer. In our area, it’s 700 people/sq. km. In Milan – 2,000 people per sq. km.

What we have

* A = unknown ratio of all sick/total population, and it is definitely much less than 1

* B = unknown ratio of known sick/all sick, and it is definitely much less than 1

* C = known ratio of deceased/known sick, and for my age it turns out to be 0.02%, which means every 500th out of the known infected.

If B = 0.5 (meaning, half of the infected do not know it’s COVID-19), then every thousandth dies. If B=0.25, then every two thousandth of the sick and so on. How to calculate B is unclear, but there is some methodology available at the link. https://m.habr.com/ru/post/491974/

More about the spread. Understandably, it spreads fastest in hypothetical metro during rush hour. Closing the metro is difficult, it will lead to rampant growth. But how quickly does it spread in places with a density 10 times lower than New York? where there is no metro. Like our places. It is likely that the virus will not work with the necessary speed in such places to maintain the rates, and the rates will drop. But where is the actual threshold of density above which to worry?

Then, there is no distribution by diseases anywhere. Let’s suppose a healthy person of my age gets infected and another similar one but with diabetes. It is claimed that diabetes greatly increases the likelihood of a fatal outcome. How then to calculate the probability? How many of the deceased had comorbidities and how many did not? Maybe we should have calculated mortality separately for healthy and unhealthy? Maybe for a healthy person, mortality is lower than that of the flu?

March 12 2020, 01:17

Commerce Cloud Tips & Tricks for developers:

There is a well-known complexity: how to frequently update a large volume of products (in a complex data model). As soon as the issue of multithreading and clustering arises, questions about how to manage locks, which locking mechanism to choose—optimistic or pessimistic, etc., also emerge. In developing for SAP Commerce Cloud, you also encounter the peculiarities of the built-in ORM, which sometimes doesn’t behave as expected. I recently dealt with this, found the right approach, and described it in an article. The solution is very simple but might save someone time and effort.

Many people ask me – why do I share knowledge that took me hours or days to acquire. It’s simple: knowing the solution (which the article is about) gives a hypothetical five points to an architect, but knowing the path to this solution gives a hypothetical fifty. And yet, the path to the solution is not something you can easily detail in blogs and on the internet.

https://hybrismart.com/2020/03/12/concurrent-update-of-sap-commerce-cloud-item-relations/