Department of Numbers

South Dakota COVID-19 Case and Testing Statistics

As of Friday April 03 2020, South Dakota had 187 cases of COVID-19. Over the past week, South Dakota was finding 18 new cases per day on average and recording 0.1 deaths per day. Data for South Dakota is provided by the COVID Tracking Project and will be updated daily. The COVID Tracking Project gives South Dakota a data quality grade of: A

Compare South Dakota COVID-19 data to other states.

South Dakota average daily new cases

The chart below shows the trend of new case discovery for South Dakota. Flattening the curve of new daily cases will help alleviate the burden on hospitals and healthcare workers and help ensure that patients that need critical care can get it.

Note: If testing is insufficient the above curve will underrepresent true case discovery. Nationwide daily testing per million residents is currently 336.1. Reported South Dakota testing per million residents per day is 377.1.

South Dakota average daily deaths

Deaths from COVID-19 are likely better reported than the true number of positive cases. As a result, the trend in average daily deaths from COVID-19 might be a more telling measure of progression through the outbreak than daily average positive cases.

Statistics for positive cases of COVID-19 in South Dakota

Total Cases and Total Cases per 1M residents are cumulative counts. Daily Positive measures are rolling 7 day averages.

Date Total
Cases
Total
Cases
per 1M
Daily
Positives
(7d Avg)
Daily
Positives
per 1M
(7d Avg)
04/03/20 187 211 18 20.8
04/02/20 165 187 17 19.2
04/01/20 129 146 13 14.2
03/31/20 108 122 11 12.6
03/30/20 101 114 10 11.8
03/29/20 90 102 10 11.1
03/28/20 68 77 8 8.7
03/27/20 58 66 6 7.1
03/26/20 46 52 5 5.7
03/25/20 41 46 4 4.8
03/24/20 30 34 3 3.1
03/23/20 28 32 3 2.9
03/22/20 21 24 2 1.9
03/21/20 14 16 1 0.8
03/20/20 14 16 1 0.8

more history ...

Death statistics for COVID-19 in South Dakota

Total Deaths and Total Deaths per 1M residents are cumulative counts. Daily Death measures are rolling 7 day averages.

Date Total
Deaths
Total
Deaths
per 1M
Daily
Deaths
(7d Avg)
Daily
Deaths
per 1M
(7d Avg)
04/03/20 2 2.3 0.1 0.2
04/02/20 2 2.3 0.1 0.2
04/01/20 2 2.3 0.1 0.2
03/31/20 1 1.1 0.0 0.0
03/30/20 1 1.1 0.0 0.0
03/29/20 1 1.1 0.0 0.0
03/28/20 1 1.1 0.0 0.0
03/27/20 1 1.1 0.0 0.0
03/26/20 1 1.1 0.0 0.0
03/25/20 1 1.1 0.0 0.0
03/24/20 1 1.1 0.1 0.2
03/23/20 1 1.1 0.1 0.2
03/22/20 1 1.1 0.1 0.2
03/21/20 1 1.1 0.1 0.2
03/20/20 1 1.1 0.1 0.2

more history ...

COVID-19 testing statistics in South Dakota

All measures below are rolling 7 day averages except Total Tests and Total Tests per 1M residents which are cumulative counts of COVID-19 tests as of the date reported. Testing statistics are dependent on high quality reporting of negative test results by states. I'm only showing this data for states that don't have implausibly low testing rates and that have an A reporting grade from the COVID Tracking Project.

Date Total
Tests
Total
Tests
per 1M
Daily
Tests
(7d Avg)
Daily
Tests
per 1M
(7d Avg)
Daily
Positive
Rate
(7d Avg)
04/03/20 4,780 5,403 334 377 5.5%
04/02/20 4,382 4,953 338 382 5.0%
04/01/20 4,032 4,558 453 512 2.8%
03/31/20 3,717 4,202 414 468 2.7%
03/30/20 3,579 4,046 398 450 2.6%
03/29/20 3,217 3,636 351 397 2.8%
03/28/20 2,660 3,007 279 316 2.8%
03/27/20 2,445 2,764 253 286 2.5%
03/26/20 2,019 2,282 208 235 2.4%
03/25/20 860 972 43 48 10.1%
03/24/20 820 927 37 42 7.4%
03/23/20 790 893 41 46 6.3%
03/22/20 761 860 61 69 2.8%
03/21/20 705 797 73 83 1.0%
03/20/20 677 765 85 96 0.8%

more history ...

A final word on this analysis

In order to manage the outbreak, states need to increase their testing capacity. As testing increases, the number of detections as a fraction of total tests (positive rate) should hopefully decrease over time. If a state is able to test widely enough (at least 300 tests daily per million residents, probably more) to drive the positive rate down (less than 5%) there may be the potential to manage a regional outbreak with isolation, contact tracing and quarantine South Korea has.

Please take my calculations and amatuer epidemiological speculations with a huge grain of salt as I'm moving quickly to get what I hope are meaningful measures online. There may be errors in my data and my thinking!

These statistics were inspired by posts on Calculated Risk and the Bondad Blog regarding metrics to track for COVID-19.

Last but not least, thanks to the folks at COVID Tracking Project for making this data available to everyone.