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Now tracking the new emerging South Africa Omicron Variant

How viruses mutate......

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carbon20 View Drop Down
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    Posted: December 03 2021 at 11:51pm

ABC News: There are three theories for where Omicron came from, and they're all still on the table.

https://www.abc.net.au/news/health/2021-12-04/covid-omicron-how-viruses-mutate-why-it-has-emerged-now/100672516

Everything we hear is an opinion, not a fact. Everything we see is a perspective, not the truth.🖖

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Post Options Post Options   Thanks (0) Thanks(0)   Quote Pixie Quote  Post ReplyReply Direct Link To This Post Posted: December 04 2021 at 11:55am

The jury is still out on the origin,if the immune compromised theory bears out the sheer #s of undetected HIV is a huge pool


https://www.latimes.com/science/story/2021-12-02/did-omicron-coronavirus-variant-arise-in-patient-with-uncontrolled-hiv

Snips…


Tulio De Oliveira said the emergence of Omicron in a patient unable to clear the virus quickly was “the most plausible” origin story for the world’s newest variant of concern.


De Oliveira has been warning for months that the people mostly likely to spawn such mutations in sub-Saharan Africa are the roughly 8 million with unrecognized or poorly treated HIV. Largely young, unvaccinated and with debilitated immune systems, these people could “become a factory of variants for the whole world,” he said.


More than 30 of the mutations they saw were in the code for the crucial spike protein of the virus — the key that picks the lock to human cells and initiates an infection. Many of the changes were familiar to De Oliveira from his study of HIV patients with prolonged coronavirus infections.


With Johannesburg at its heart, Gauteng province is the epicenter of South Africa’s HIV epidemic. It is home to roughly 20% of South Africa’s 7.5 million people living with HIV.


“The sheer number of mutations that arose all of a sudden here is really reminiscent of what we’ve seen,” Li said. “If I had to guess, I would say this is likely how Omicron came about.”



https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30264-3/fulltext


Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study

Many graphs covering all global regions. Too much info for snippets

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