Last updated: 2020-07-27

Checks: 1 1

Knit directory: uci_covid19_dashboard/

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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/about.Rmd) and HTML (docs/about.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
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.

About

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.

   

UC Irvine COVID Awareness Group Members:

Damon Bayer, Bernadette Boden-Albala, Isaac Goldstein, Rachel Longjohn, Vladimir Minin, Andrew Noymer, Daniel M. Parker, Padhraic Smyth.

Please get in touch if you would like to contribute to this effort.

Contact information:

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 cite is licensed under the most permissive creative commons license (click on License tab in the navigation bar to learn more).

Methodology

Moving Averages

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.

Testing Data

The number of daily new cases depend 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 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.