Trial2








Weekly average daily cases per 100k
Last week
 
This Week
 
 


 June 29th, California
 
 


 June 28th, San Diego
Weekly average daily cases per 100k
  July 5th, San Diego
Weekly average daily cases per 100k
 

 





June 29th, US Mainland
Weekly average daily cases per 100k
July 6th, US Mainland
Weekly average daily cases per 100k
 
 






Weekly average daily cases per 100k, California
June 26th
 Weekly average daily cases per 100k, California
July 2nd

 Weekly average daily cases per 100k, California
July 9th
 







Quarantine Pilot Covid 19 Dashboard


Supported Annotations 

We provide the following annotations in the current deployed version. 

Spread rate

  • Spread rate = (Log[Confirmed cases at time t] - Log[Confirmed cases at time t-delta]) / delta

Daily Growth rate

This metric provides an indicator for the inflection point. A value switch from greater than 1.0 to less than 1.0 and staying below 1.0 indicates that we are close to an inflection point.

  • Daily growth rate = [New confirmed cases at day D / New confirmed cases at day [D-d] ](1/d)

Fatality rate

Since there is a lag between the confirmed cases and the resolution of those confirmed cases by several weeks. We provide a crude measure for now

  • Confirmed fatality rate = Cumulative deaths at time t / Cumulative confirmed cases at time t

Daily Cases per 100k

We are using a measure provided by ESRI for epidemic control assessment. An epidemic is considered controlled when there is maximum 0.5 new case per 100,000 people for a period of 21 days. 


Credits

Team

Stephanie Siu, UI Lead
Sam Patel, Deployment Lead
Rajdeep SinghJamie LawsonAnalytics Leads

Date Sources




Development kit

The analytics portion of this work has been developed in Scala.
The UI is driven by the Angular framework.
The charts are provided using non-profit license given graciously by AnyChart.
We are using Netlify for CICD. 

Quarantine Covid 19 Pilot Git hub page

Disclaimer

There are a few countries and counties missing due to data sanitizing issues that would require significant effort to include - so we have settled with 95% of the locations from the data sources. All work shared here is for educational and informational purpose and users should use their own judgment in using the metrics and trends from this dashboard for any COVID-19 related social engagement strategies.  



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  212k v. 1 Jul 11, 2020, 11:08 PM Rajdeep Singh
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