Someone else was wondering when they first became aware of the #COVID-19 outbreak. My memory says December of 2019, but I can't find anything I wrote or posted about it before the 2nd week of January 2020 (when someone tipped me that their sources were saying the outbreak in Wuhan would be a worldwide plague).
The World Health Organization issued the warning to deter national governments from issuing "immunity passports" that proclaim someone's safety.
"At this point in the pandemic, there is not enough evidence about the effectiveness of antibody-mediated immunity to guarantee the accuracy of an 'immunity passport' or 'risk-free certificate'".
Yesterday, I drank double my usual amount of (decaffeinated) coffee and my usual amount of water, as the resurgent cold kept converting fluids into mucus. I felt pretty unproductive as I coughed and sneezed the entire time I was awake from 03:00 to 22:00 ... but I guess I did get some things done: * Installed #Lubuntu 20.04 in place of 18.04—because of some deep changes, upgrading was not recommended—and then installed some of the things I’m currently working on learning * I found an “Intro to SciLab” slideshow, so I installed #SciLab on the Win10 machine and started stepping along with the slideshow. There’s still quite a bit to go, but it seems doable. I’m considering downloading some #COVID-19 data and trying to see whether there are better ways to present it than most of the present sites are using. * We had our second family-wide #videochat on #JitsiMeet last evening. It is really targeted at my siblings (including the extended groups that grew up in different states). I dropped out when it was time to talk to #GS3 on #Wire ... he’s got a new area to explore, so he and the granddoggy are spending a lot of time searching the recesses of the enclosed porch.
Today seems to be a little better so far, as there’s a lot less runny nose and sneezing (no coughing yet today).
"Big data" and visualizations make everything look simple, but #COVID-19, like everything else in the real world, is messy. OP argues that the data is noisy, contradictory, and incomplete ... and that it will be years before we can reliably draw any conclusions from it.
#sonTwo is delivering #pizza and working at a large retailer ... 60+ hours / week ... almost making what his job paid.
#Daddy_A is the stay-at-home dad ... his wife had only recently returned to work before the #COVID-19 outbreak, but she’s been able to work from home. His next few back surgeries are postponed (there’s some sort of electronic nerve stimulation device they want to implant in a couple of places to relieve pain and give back feeling in his legs).
The city-state was widely praised for the effectiveness of its early response to the #coronavirus, but #2019-nCoV is now appearing in its crowded foreign-worker dormitories, where "social distancing" is not possible.
I don't think anyone except extreme #conspiracy_theories people would believe that the Wuhan virus lab _intentionally_ released #COVID-19 or that it was a germ warfare candidate, but an accidental release (e.g., contaminated employee visits the Wuhan seafood market, coughs, passes virus to dozens of people) is a reasonable possibility, as is people catching it from a live animal's sneeze at the market.
I don't think there will ever be proof either way, but the rapidity and stringency of their response _once they finally acknowledged the outbreak_ and their quickly producing genetic maps could be used to argue for the lab's early involvement. (Personally, I'm neutral on either direct-from-animal in the market or direct-from-animal in the virus research lab.)
@mangeurdenuage There are still reports of people being reinfected shortly after recovering from a #COVID-19 infection. If frequent reinfectability turns out to be the case (and not just flaws in the testing protocols), herd immunity (by widespread use of vaccines or by enough people having been previously infected) seems like it is unlikely to happen.