It has been a joy to be working with @stamen on the #UCSF Health Atlas for the past 2+ years. Really proud of how all the big and small things turned out. And excited to unveil our latest piece on historical #redlining together with @UCSF_EaRTH tomorrow! https://t.co/i8KyJhERN9
Tune in TOMORROW 6/22 1 pm PT to learn about new research tools in @UCSFMedicine Health Atlas to study the impact of redlining, a 1930's discriminatory practice that continues to impact people's health, wealth & #environment today. #NIEHS_EHSCC https://t.co/KsoexxpNip
TOMORROW - Wed 6/22 1pm: Come learn how our team has partnered with @UCSF_EaRTH Center and @stamen to integrate historical #redlining data into the UCSF Health Atlas. https://t.co/ooGwfVWomJ
Join us 6/22 for our next #EaRTHinar, @ohdebbyoh's Historical Redlining Data in the @UCSFMedicine's Health Atlas. Research shows a strong link between historic redlining (a discriminatory practice) & present-day health disparities. #environmentaljustice https://t.co/KsoexxpNip
This catchment area dashboard for #cancer in the Bay Area and beyond from @UCSFCancer@Dreamlab_UCSF
is awesome.
You can find tables and maps of each cancer, incidence, mortality by race, sex, for each county.
Thanks @slingomez@ohdebbyoh !
https://t.co/lOdMQOcR03
@esotouric@KBibbinsDomingo@UCSF@UCSFMedicine@latimes@stamen@datagraphics@palewire This issue shows up in a few zipcodes. From the data description: "In some areas, vaccination coverage displayed may exceed 100%. This is likely due to the margin of error for small population estimates, geocoding errors, and vaccination of non-resident individuals."
Our @UCSF@UCSFMedicine Health Atlas now lets you visualize #COVID19 vaxx data from @LATimes at county & ZIP code level!
Here are county-level #COVID19 hospitalization & vaccination rates. Collab with @stamen design. Check it out: https://t.co/sW5Gf5uHnM @datagraphics@palewire
I'm proud to report our very own @latimes is the most comprehensive source of data on COVID-19 in California.
And it's all free for reuse.
It'll take us years to realize what happened this past year, but UCSF's move into mass media, seen in part here, will be worth appreciation
You can see how much more coverage we have with the new @CDCgov@RWJF PLACES data
Here you can see the current & previous version of asthma prevalence in CA
Thanks to Dr Debby Oh @Dreamlab_UCSF@stamen@palewire@latimes concept, design, & hard work making these data available
We've been updating our https://t.co/sW5Gf5uHnM site!
Some highlights
-mobile friendly!
-COVID data for nursing homes & prisons
-Healthy Places Index (HPI) & Social Vulnerability Index (SVI)
-ACS data on seniors (living alone, disabilities, linguistic isolation)
Tomorrow 3pm! Mapping COVID-19: Health Atlas and Citizen Science Study
Learn about how mapping #COVID19 data in the context of #populationhealth factors can help elucidate the drivers of the pandemic. @ucsf@ohdebbyoh@markjpletcher https://t.co/dQ5FVnurlK
Crowded households can be a risk factor for #SARSCoV2 transmission https://t.co/sW5Gf5uHnM
Case counts per capita in zipcodes in SF & census tracts in LA mapped against proportion overcrowded (>1.5 persons per room)
⬆️yellow = ⬆️COVID
⬆️blue = ⬆️overecrowding
⬆️green =⬆️BOTH
This #COVID19 church service outbreak in 91 people (graph via @GovMikeDewine) is very instructive.
Kids ranging from 6-16 years old are in the chain of transmission to other kids and adults.