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SC County updates dashboard with city and race data - Printable Version

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SC County updates dashboard with city and race data - chrisk - 04-09-2020

https://www.sccgov.org/sites/phd/DiseaseInformation/novel-coronavirus/Pages/dashboard.aspx

Top total cases
San Jose 958
Sunnyvale 65
Palo Alto 57
Santa Clara 54

Latinx 36%
White 34%
Asian 23%

Not surprisingly, Latinx are overrepresented and Asians are underrepresented. Wear those facemasks.


RE: SC County updates dashboard with city and race data - 2006alum - 04-09-2020

I'd be extremely curious to see data on the professions of those diagnosed with, and admitted to the hospital for, COVID-19. For one thing, I suspect the racialized nature of outcomes is at least mildly correlated with the nature of employment. But I'd also be curious to know in terms of thinking about how we "get back to normal." Are the anecdotal stories about grocery clerks and jail/prison personnel being especially at risk reflected in the data? What about postal workers and package deliverers? Lyft drivers? Police officers (see NYC)? Etc. 

We know frontline healthcare workers are at risk, but it seems like how we design an "end game" will depend in part on who in the broader economy is likely to be most at risk.


RE: SC County updates dashboard with city and race data - Genuine Realist - 04-09-2020

(04-09-2020, 08:50 PM)2006alum Wrote:  I'd be extremely curious to see data on the professions of those diagnosed with, and admitted to the hospital for, COVID-19. For one thing, I suspect the racialized nature of outcomes is at least mildly correlated with the nature of employment. But I'd also be curious to know in terms of thinking about how we "get back to normal." Are the anecdotal stories about grocery clerks and jail/prison personnel being especially at risk reflected in the data? What about postal workers and package deliverers? Lyft drivers? Police officers (see NYC)? Etc. 

We know frontline healthcare workers are at risk, but it seems like how we design an "end game" will depend in part on who in the broader economy is likely to be most at risk.

There are only 47 fatalities, too small to make any good generalizations.


RE: SC County updates dashboard with city and race data - magnus - 04-09-2020

(04-09-2020, 08:44 PM)chrisk Wrote:  https://www.sccgov.org/sites/phd/DiseaseInformation/novel-coronavirus/Pages/dashboard.aspx

Top total cases
San Jose 958
Sunnyvale 65
Palo Alto 57
Santa Clara 54

Latinx  36%
White 34%
Asian 23%

Not surprisingly, Latinx are overrepresented and Asians are underrepresented.  Wear those facemasks.

What is the population breakdown of each ethnicity?


RE: SC County updates dashboard with city and race data - akiddoc - 04-09-2020

(04-09-2020, 09:51 PM)magnus Wrote:  
(04-09-2020, 08:44 PM)chrisk Wrote:  https://www.sccgov.org/sites/phd/DiseaseInformation/novel-coronavirus/Pages/dashboard.aspx

Top total cases
San Jose 958
Sunnyvale 65
Palo Alto 57
Santa Clara 54

Latinx  36%
White 34%
Asian 23%

Not surprisingly, Latinx are overrepresented and Asians are underrepresented.  Wear those facemasks.

What is the population breakdown of each ethnicity?

Asian 38%
White (not hispanic) 31%
Hispanic 25%


RE: SC County updates dashboard with city and race data - 2006alum - 04-09-2020

(04-09-2020, 08:57 PM)Genuine Realist Wrote:  
(04-09-2020, 08:50 PM)2006alum Wrote:  I'd be extremely curious to see data on the professions of those diagnosed with, and admitted to the hospital for, COVID-19. For one thing, I suspect the racialized nature of outcomes is at least mildly correlated with the nature of employment. But I'd also be curious to know in terms of thinking about how we "get back to normal." Are the anecdotal stories about grocery clerks and jail/prison personnel being especially at risk reflected in the data? What about postal workers and package deliverers? Lyft drivers? Police officers (see NYC)? Etc. 

We know frontline healthcare workers are at risk, but it seems like how we design an "end game" will depend in part on who in the broader economy is likely to be most at risk.

There are only 47 fatalities, too small to make any good generalizations.

Sorry, I should have been clearer: I'd like to know this data nationwide, where the numbers are large enough to start generalizing. It would be useful in understanding which professions are high-risk, and where we should be prioritizing delivery of PPE, stronger social distancing measures, etc.