Our response to this pandemic is based on science, data and best public health recommendations. We just launched a new detailed COVID-19 Data Tracker, providing significantly more public information on the situation in San Francisco as it evolves: https://www.sfdph.org/dph/alerts/coronavirus.asp …
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The tracker is awesome. Thank you for putting this together. So far less than 1% of SF population got tested. Is this enough to have a clear picture of the situation?
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I think so far they've only test people deemed sick enough for the test, although I believe that's changing with more testing being made available for healthcare workers (and possibly other essential workers?). I believe the new test site for that can do 200 a day.
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This is data tracking cases, thanks. Looking for more insight on how it’s being used in conjuction with science/city specific data to inform future projections
Thanks. Twitter will use this to make your timeline better. UndoUndo
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So far, modeling projections have been way off base and even recent readjustments may still be too high. There may be flawed assumptions shaping the inputs in these projections; how are new understandings of the disease + other city data changing the projections?
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Example: if a city has a huge number of diabetics, you might expect a higher rate of hospitalizations/deaths. How is known health data shaping the policies for SF?
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