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In #NYC #COVID19 the racial & gender dynamics of infection & death need far more testing-driven research. Many explanations for why men, and African Americans and Latinos are hardest hit, such as:
- less likely to have stay-at-home poss jobs;
- more likely to take subways;
MOREpic.twitter.com/Ji2ulklthv
2/ - higher rates underlying conds.; - concerns of immigration status vs seeking help; - women more likely to lose jobs vs men retain but w/danger; - racism in the health system; - less access to public health info; - >er levels attendance to religious & community events... MOREpic.twitter.com/ogUL7chabs
3/ Add your own speculations. We urgently need test-driven epidemiology to figure this out. Which means we need surveillance-oriented test kits (ELISA) + safety equip. for testers + strategically designed hypothesis-driven-studies & funding.pic.twitter.com/T6VP6rusrI
asians most likely to have worn masks way earlier than other groups.
Also a lot live in dense housing.. see this video by the Newy Yorkerhttps://www.newyorker.com/culture/video-dept/is-new-york-citys-public-housing-system-ready-for-the-coronavirus …
Don't these ethnically disparate death statistics call into question the entire concept of herd immunity? What herd? The Darwinian selection here appears to favor high-income Caucasians of Euro-American ancestry, of which I am one, but still...
Genetic markers contribute.
What I suggest is, a benchmark is needed. Compare the proportion of confirmed diagnosis and death in each category. This will eliminate most of the interference factors, leaving only the differences in medical conditions.
It can also count the hospitals where different ethnic groups are treated, score medical conditions and pay attention to the correlation between mortality and medical resources
yes, my dear friend.
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