Last updated: 2021-01-22

Checks: 2 0

Knit directory: uci_covid19_dashboard/

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html 2273581 markellekelly 2021-01-21 automatic update - 2021-01-21
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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, Suellen Hopfer, Markelle Kelly, Rachel Longjohn, Vladimir Minin, Andrew Noymer, Daniel M. Parker, Padhraic Smyth, Thanasi Bakis, Jessica George.

Contact information:

If you would like to know more about technical details and/or to join the group, get in touch with Prof. Vladimir Minin. For general media inquiries contact Prof. Suellen Hopfer and/or 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).

Methodology

Data

Figures of county-wide cases, deaths and hospitalizations over time have been created with publicly available data from the California Open Data Portal. Cases and deaths are counted by date reported, rather than the date the test was administered or date of death (if someone is tested on Friday, and the positive result is reported the following Tuesday, the case is counted for Tuesday).

Maps of cases have been created with data provided by the Orange County Health Care Agency. If an individual tested multiple times, only the first positive test was counted as a case.

Figures of OC city cases, deaths and tests over time have been created with data provided by the Orange County Health Care Agency. We report cases and tests by date test administered, and deaths by date of death, as opposed to date reported. If someone was tested on Friday, but the positive result is reported the following Tuesday, for these city specific figures we count the case for Friday. This data is different than publicly available data in the California Open Data Portal. Because of reporting delays, these figures will be updated less regularly, and will be at least ten days behind the present.

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 hundred thousand people during the period July 1st to July 7th. On July 8th, we report the average number of cases per hundred thousand 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 hundred thousand 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 hundred thousand. 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.

Percent Positivity

For the OC cities we calculate percent positive tests using a 7 day moving window. For instance, on July 7th, we report the total number of positive tests in the last 7 days (from July 1st to July 7th) divided by the total number of tests administered in the last 7 days. We again use a 7 day window to account for dramatic increases and decreases on particular days.

Testing Data

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 county level figures for now.

Software

We used R software environment, tidyverse collection of R packages, workflowr R package, and QGIS geographic information system software.