- Joined
- Feb 3, 2013
This is a point worth emphasizing. Most states with outbreaks seem to fall within 4-7 hundred deaths per capita when all is said and done, going off of Youyang Gu's modeling, which has been the most on the money of any data science projections so far. But when you go down to the city levels, you start seeing per capita deaths in the 7-900s. New York's per capita was 1700ish, which is ridiculously high; New York City's per capita deaths are nearly three thousand. New Jersey is the only state with worse per capita deaths than New York, and they are the most densely populated state in the entire nation.
NY/C and NJ literally sent back people with symptoms in Long Term Care facilities who didn't need a hospital BACK to the facility. Some of the nursing homes literally lost 30-40% of their patients in a 1-2 month period.
About 40-50% of all deaths in NJ point to long term care facilities.
Most urban cities in America tend to have more non-Whites on average, and they get especially hit hard. Here's a little snippet about it:
- Adjusting the data for age differences in race groups widens the gap in the overall mortality rates between all other groups and Whites, who have the lowest rate. Compared to Whites, the latest U.S. age-adjusted COVID-19 mortality rate for:
- Blacks is 3.6 times as high
- Indigenous people is 3.4 times as high
- Latinos is 3.2 times as high
- Pacific Islanders is 3.0 times as high, and
- Asians is 1.3 times as high.