Department of Numbers

Maryland COVID-19 Case and Testing Statistics

As of Friday April 03 2020, Maryland had 2,758 cases of COVID-19. Over the past week, Maryland was finding 283 new cases per day on average and recording 5.3 deaths per day. Data for Maryland is provided by the COVID Tracking Project and will be updated daily. The COVID Tracking Project gives Maryland a data quality grade of: A

Compare Maryland COVID-19 data to other states.

Maryland average daily new cases

The chart below shows the trend of new case discovery for Maryland. 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 Maryland testing per million residents per day is 539.3.

Maryland 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 Maryland

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 2,758 456 283 46.9
04/02/20 2,331 386 250 41.4
04/01/20 1,985 328 223 36.9
03/31/20 1,660 275 187 31.0
03/30/20 1,413 234 161 26.6
03/29/20 1,239 205 142 23.5
03/28/20 992 164 115 18.9
03/27/20 774 128 89 14.8
03/26/20 580 96 68 11.2
03/25/20 423 70 48 8.0
03/24/20 349 58 42 6.9
03/23/20 288 48 36 5.9
03/22/20 244 40 30 5.0
03/21/20 190 31 23 3.9
03/20/20 149 25 19 3.1

more history ...

Death statistics for COVID-19 in Maryland

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 42 7.0 5.3 0.9
04/02/20 36 6.0 4.6 0.8
04/01/20 31 5.1 3.9 0.6
03/31/20 18 3.0 2.1 0.3
03/30/20 15 2.5 1.7 0.3
03/29/20 10 1.6 1.0 0.2
03/28/20 5 0.8 0.4 0.1
03/27/20 5 0.8 0.6 0.1
03/26/20 4 0.7 0.4 0.1
03/25/20 4 0.7 0.6 0.1
03/24/20 3 0.5 0.4 0.1
03/23/20 3 0.5 0.4 0.1
03/22/20 3 0.5 0.4 0.1
03/21/20 2 0.3 0.3 0.1
03/20/20 1 0.2 0.1 0.0

more history ...

COVID-19 testing statistics in Maryland

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 23,690 3,919 3,260 539 8.7%
04/02/20 21,221 3,510 2,935 486 8.5%
04/01/20 19,218 3,179 2,672 442 8.3%
03/31/20 16,528 2,734 2,298 380 8.2%
03/30/20 14,729 2,436 2,050 339 7.8%
03/29/20 13,593 2,248 1,894 313 7.5%
03/28/20 12,508 2,069 1,746 289 6.6%

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.