This was an intense week where several countries initiated an out-of-lock-down initiative... Is it good, is it bad? We do not know yet. Therefore, in the meantime, let's have a COVID-special 7th STEMsocial distilled of the best articles posted within the STEMsocial community last week. Feel free to engage with the featured authors of the week! Engagement is strongly encouraged on STEMsocial.
For those who do not know what STEMsocial is, please take a look here (no comment... I am on it!), or pass by Discord, the Hive Chat, Twitter or Facebook.
Before moving on with the two best posts that have been selected from all the posts found by our curators last week, here are the most supported ones:
The COVID-19 is getting known more and more, although many unknowns are still in front of us. This post from Hive account@girolamomarotta (who is now the first author to be featured a second time in the STEMsocial distilled series) addresses the issues of people getting cured and then tested positive again, our knowledge on the virus dynamics (through in particular the ACE2 molecule) and the possible therapies.
On this second post on the COVID-19, we are happy to feature Hive account@pibara who provides a great analysis of the math behind the epidemic, at least from an engineer standpoint. He discusses the mortality rate and the step towards herd immunity. To lock-down or not to lock down, will it be sufficient? In any case, having the numbers at hand may be useful!
Statistics
STEMSocial offers support to anyone using our app, stem.openhive.network. We recall that:
Posting an article through the app automatically yields a 5% stronger upvote at curation time.
Posting a reply to an article (or to another reply) from the app can sometimes yield some support.
Setting Hive account@steemstem as a beneficiary to the post automatically yields a stronger upvote (up to 5%).
Last week, the STEMsocial curator team has supported 70 posts written by 45 authors. 13 of these posts have been posted through the app (and got a 5% stronger upvote). Among these 70 posts, we find:
36 small upvotes (less than 20%)
23 medium upvotes (in the 20%-50% range)
11 large upvotes (larger than 50%)
In addition, we have upvoted 15 comments posted through the app, written by 7 authors.
(who is now the first author to be featured a second time in the STEMsocial distilled series) addresses the issues of people getting cured and then tested positive again, our knowledge on the virus dynamics (through in particular the ACE2 molecule) and the possible therapies.
who provides a great analysis of the math behind the epidemic, at least from an engineer standpoint. He discusses the mortality rate and the step towards herd immunity. To lock-down or not to lock down, will it be sufficient? In any case, having the numbers at hand may be useful!
as a beneficiary to the post automatically yields a stronger upvote (up to 5%).
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