* Viruses don't automatically or inevitably evolve to become milder. Transmissibility and immune escape can be under strong selection but virulence may not be, especially if there are lots of hosts, transmission is easy, and infectiousness precedes symptoms.
* Herd immunity isn't going to happen when new immune escaping variants evolve continually. This is true for any source of temporary immunity, but vaccination, infection, or hybrid immunity (vaccination + infection).
* Reinfections are not rare and will probably get more common as vaccine immunity wanes and new variants escape immunity.
* They're all "subvariants of Omicron" in name only. Genetically and antigenically, the various "Omicrons" are quite divergent.
* Write more papers in my Evolution: Education and Outreach series, specifically mutation, genetic drift, sexual selection, and multilevel selection theory.
* Maybe some video talks or a podcast or something about basic evolutionary concepts?
This person really wants everyone to see monkeypox -- and even HIV -- to be diseases of men who have sex with men. This framing would have fit in very well in the days of reporting GRID (Gay-Related Immune Deficiency) in the early 1980s.
Here's the full take. If 600 out of 14,000 cases showed up among the only group being tested, it must be a gay STI. Again, we've seen this movie before.
True. So much misinformation. And minimizing. Not to worry, it really is just gay and bisexual men. You know, the only people being tested in many places.
Labs are opening up for widespread testing in the US, so save the "no ascertainment bias" claim for later. May go the same way as early claims that the virus is the nearly identical to the 2018 strain (it isn't).
Let's take a look at how you (yes you!) can use Nextstrain to track COVID variant evolution as it is happening! 🧵
Nextstrain has tools for several viruses, including SARS2, influenza, Zika, and monkeypox and you can look at different subsets of genome sequence data.
Here's the link to the SARS2 resource we'll be using:
The main features we will look at are: phylogenies (evolutionary trees) and plots of mutations for different variants. You can also look at maps with summaries of variant frequencies in different regions, but those don't require a lot of explanation so I won't get into them.