Last updated: 2020-07-28
Checks: 1 1
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
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|Rmd||0ec36bf||vnminin||2020-07-27||added media bit to contact|
|html||0ec36bf||vnminin||2020-07-27||added media bit to contact|
|html||bb1619b||Damon Bayer||2020-07-27||Some UCI Colors|
|Rmd||2964ef6||vnminin||2020-07-27||added joining the group to about|
|Rmd||7e96a35||vnminin||2020-07-27||added members to About page and more playing with logos|
|html||7e96a35||vnminin||2020-07-27||added members to About page and more playing with logos|
|Rmd||1f6de11||vnminin||2020-07-27||playing with logos|
|html||1f6de11||vnminin||2020-07-27||playing with logos|
|html||abd9c55||Damon Bayer||2020-07-27||Update HTML|
|Rmd||01f6052||vnminin||2020-07-27||edits of About text|
|html||01f6052||vnminin||2020-07-27||edits of About text|
|html||84ab7e1||vnminin||2020-07-27||july 27 ca data update|
|html||bab42bc||vnminin||2020-07-26||triggering an update with latest data|
|Rmd||32001f7||igoldsteinh||2020-07-24||hopefully commented methods section|
|html||f08c6cc||Damon Bayer||2020-07-24||Watermark & Legend Fix|
|html||eb680ce||vnminin||2020-07-24||republishing to update plots|
|Rmd||f07587a||vnminin||2020-07-23||all plots start on the same date; moved subtitle to title|
|html||f07587a||vnminin||2020-07-23||all plots start on the same date; moved subtitle to title|
|html||9aa359e||vnminin||2020-07-23||shortenting title for friendlier mobile version|
|html||c14824c||Damon Bayer||2020-07-23||Remove Home text|
|Rmd||4d981d1||vnminin||2020-07-22||started editing about|
|html||4d981d1||vnminin||2020-07-22||started editing about|
|html||b4fb3ae||Damon Bayer||2020-07-21||update 2020-07-21|
|html||c95cee3||Damon Bayer||2020-07-20||Hide Workflowr buttons|
|html||5369804||Damon Bayer||2020-07-19||Update 2020-07-19|
|html||65c7195||Damon Bayer||2020-07-16||theme change|
|html||66110a1||Damon Bayer||2020-07-14||Initial Proof of Concept|
|Rmd||6151dc8||Damon Bayer||2020-07-14||Start workflowr project.|
This is an effort to provide timely and understandable COVID-19 data visualizations to the public in Orange County, California. The effort is coordinated by the UC Irvine COVID Awareness Group, consisting of students and faculty from the following units at UC Irvine.
Damon Bayer, Bernadette Boden-Albala, Isaac Goldstein, Rachel Longjohn, Vladimir Minin, Andrew Noymer, Daniel M. Parker, Padhraic Smyth.
If you would like to know more about technical details and/or joining the group, get in touch with Prof. Vladimir Minin. For general media inquiries contact Prof. Andrew Noymer. If you are a media organization and would like to use our images, you do not need to ask for permission. Just don’t forget to acknowledge UC Irvine COVID Awareness Group. The content of this site is licensed under the most permissive creative commons license (click on License tab in the navigation bar to learn more).
Our figures present 7 day moving averages. This means that, for cases on July 7th, for example, we report the average number of cases per million people during the period July 1st to July 7th. On July 8th, we report the average number of cases per million people during the period July 2nd to July 8th, etc. We use moving averages as opposed to raw data (such as the actual number of cases per million people on July 7th) because cases can increase or decrease dramatically on a particular day, making it difficult to see trends in the time series of interest. Moving averages help highlight these trends more clearly.
In order to calculate, for example, cases per million people, we take the number of cases reported in a county for a day, divide by the 2019 census population for that county and then multiply by 1 million. We do this because different counties have very different population sizes (Los Angeles County has approximately 10 million while Orange County has approximately 3 million) and we want to provide numbers which are comparable across counties.
The number of daily new cases depends not only on the number of infected individuals in the population, but also on the number of tests performed. It would be much better to plot the positivity ratio (positive cases divided by the total number of tests) instead of cases. Unfortunately, the number of Covid-19 diagnostic tests performed in a day is not available at a county level from the California Open Data Portal at this time. LA and OC counties do have testing data available (LA COVID-19 data, OC COVID-19 Data), but we prefer to use one data source for now.