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While the other four boroughs take a welcome slight rightward turn, the #Bronx continues its trajectory of increased deaths in #NYC from #Covid19.
Now one person in 1,262 in the Bronx has lost their life to the pandemic
Data from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Now one person in 1,262 in the Bronx has lost their life to the pandemic
Data from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Deaths are a lagging indicator, colleagues at @MontefioreNYC are seeing fewer new cases presenting, so hopefully the curve will decelerate in the #Bronx.
Now one in 1,154 in the borough has died from #COVID19.
Now one in 1,154 in the borough has died from #COVID19.
Turning the corner, literally. A long road ahead, but #NYC is getting on top of the #COVID19 pandemic.
Now one in 1,095 in the #Bronx has died from #COVID19.
Data from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Now one in 1,095 in the #Bronx has died from #COVID19.
Data from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Declared victory prematurely. Manhattan on a good slope, but the outer boroughs still climbing. A tale of two cities.
Now one in 1,023 in the #Bronx has died from #COVID19.
More work to do.
Now one in 1,023 in the #Bronx has died from #COVID19.
More work to do.
The #Bronx death rate *still* not flattening. Queens also distancing from other boroughs.
Grim milestone, we’ve passed 1/1,000:
the Bronx has now lost 1/947 people from #COVID19.
This
Pandemic
Is
Disproportionately
Killing
People
Of
Colour
(Data https://www1.nyc.gov/site/doh/covid/covid-19-data.page)
Grim milestone, we’ve passed 1/1,000:
the Bronx has now lost 1/947 people from #COVID19.
This
Pandemic
Is
Disproportionately
Killing
People
Of
Colour
(Data https://www1.nyc.gov/site/doh/covid/covid-19-data.page)
Yesterday's update. Let's see if the curving continues.
#Bronx death rate: 1/904
New data presentation format includes additional 'Probable' cases, which would bring #COVID19 death rate in #Bronx to 1/733. Devastating.
https://www1.nyc.gov/site/doh/covid/covid-19-data.page
@MontefioreNYC @EinsteinMed
#Bronx death rate: 1/904
New data presentation format includes additional 'Probable' cases, which would bring #COVID19 death rate in #Bronx to 1/733. Devastating.
https://www1.nyc.gov/site/doh/covid/covid-19-data.page
@MontefioreNYC @EinsteinMed
Deaths by borough April 15. Despite the discharges>admissions now at @MontefioreNYC, deaths still climbing in the #Bronx (1/819 mortality) and #NYC as a whole.
#COVID19 doesn't let go its grip without a fight. Dropping our guard now would be immensely stupid.
#COVID19 doesn't let go its grip without a fight. Dropping our guard now would be immensely stupid.
Something odd is happening with these numbers from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
My guess is that they are now recategorising some cases that were not initially attributed to #COVID19. I don't trust the curves.
Now one in 725 in the #Bronx has died from this virus.
My guess is that they are now recategorising some cases that were not initially attributed to #COVID19. I don't trust the curves.
Now one in 725 in the #Bronx has died from this virus.
Data from April 19. The death rate in the #Bronx is almost double that in Manhattan.
1/703 people in the Bronx has died from #COVID19.
The daily percent increase in deaths now <4% in all #NYC boroughs for the first time.
Wave #1 coming under control. Let's not screw this up.
1/703 people in the Bronx has died from #COVID19.
The daily percent increase in deaths now <4% in all #NYC boroughs for the first time.
Wave #1 coming under control. Let's not screw this up.
#COVID19 deaths, April 20 in #NYC.
1/668 #Bronx residents dead of #COVID19. 1/1,294 in Manhattan. 1/792 in Queens.
1/668 #Bronx residents dead of #COVID19. 1/1,294 in Manhattan. 1/792 in Queens.
#COVID19 deaths as of April 21 in #NYC.
1/649 #Bronx residents dead of #COVID19.
Data https://www1.nyc.gov/site/doh/covid/covid-19-data.page
1/649 #Bronx residents dead of #COVID19.
Data https://www1.nyc.gov/site/doh/covid/covid-19-data.page
Something different today, helps to illustrate why health disparities exist.
Bottom line: poor communities don't get studied like rich communities. A lesson from SARS-CoV-2 genotyping, and data from the excellent @GISAID resource.
1/
Bottom line: poor communities don't get studied like rich communities. A lesson from SARS-CoV-2 genotyping, and data from the excellent @GISAID resource.
1/
2/ Here is a breakdown of deaths per 10,000 residents in each borough of #NYC. The #Bronx and Queens especially hard hit. Fits with the realisation that #COVID19 is a disease disproportionately killing people of colour and disadvantaged people. Nothing new here.
3/ Wonderful colleagues in #NYC are to be commended for their viral genotyping and making data available through @GISAID.
Take a look at this fascinating preprint from Matt Maurano, @AdrianaHeguy and colleagues: https://www.medrxiv.org/content/10.1101/2020.04.15.20064931v2
Take a look at this fascinating preprint from Matt Maurano, @AdrianaHeguy and colleagues: https://www.medrxiv.org/content/10.1101/2020.04.15.20064931v2
4/ If you download the 639 viral genomes from New York on @GISAID today, 511 are from the five boroughs of #NYC.
Of these, 415 are from Manhattan and Brooklyn.
Of these, 415 are from Manhattan and Brooklyn.
5/ Now if you calculate the amount of genotyping as a function of the death rate (number of deaths per 10,000 population in borough), you see the problem.
We test who we can. We aren't testing who is most at risk in this pandemic, in the the Bronx and Queens.
We test who we can. We aren't testing who is most at risk in this pandemic, in the the Bronx and Queens.
6/ Thanks to @chandranlab, @EinsteinPath and generous support from @gingko, we'll try to boost these numbers at @MontefioreNYC @EinsteinMed.
But the problem is structural.
But the problem is structural.
7/ The health care systems serving poorer communities do not have the income to support research. Nor a donor base from the patients served, who are struggling to get by. And donors generally don't favour unglamourous projects asking why poor people are less healthy.
8/ The @NIH (even the @NIMHD) do not fund infrastructure to collect specimens.
Health disparities can't be researched if we can't even get samples, let alone do sexy NIH-worthy research on them.
This is just one of the vicious cycles into which poor people are locked.
Health disparities can't be researched if we can't even get samples, let alone do sexy NIH-worthy research on them.
This is just one of the vicious cycles into which poor people are locked.
9/ My colleagues at @MontefioreNYC and @EinsteinMed have been doing outstanding work for decades serving the #Bronx community in spite of these structural problems.
But there is so much more we could and should be doing.
But there is so much more we could and should be doing.
10/ We are now seeing the broader effects when the poorer people in an insanely wealthy city have health disparities.
We can fix this. We need #NYC to be the city that shows how health care disparities can be studied and fixed, as a model for the world.
Clap for that at 7 pm.
We can fix this. We need #NYC to be the city that shows how health care disparities can be studied and fixed, as a model for the world.
Clap for that at 7 pm.
As health care disparities go, so do research disparities. Rich health care systems are the ones testing local populations. Poor health care systems, which care for the disadvantaged, barely scrape by. Research is very secondary #ResearchDisparities https://www.nytimes.com/2020/04/26/nyregion/coronavirus-new-york-university-hospital.html
I'm concerned that the @NIH doesn't recognise #ResearchDisparities.
This issue of @AMJPublicHealth describes the 'scientific visioning' behind setting up the @NIMHD.
No mention of biorepositories, very little on infrastructure.
A swing and a miss. https://ajph.aphapublications.org/toc/ajph/109/S1
This issue of @AMJPublicHealth describes the 'scientific visioning' behind setting up the @NIMHD.
No mention of biorepositories, very little on infrastructure.
A swing and a miss. https://ajph.aphapublications.org/toc/ajph/109/S1
