COVID-19 Data and Variation
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The coronavirus has caused havoc throughout the world in a way that nothing has before during my lifetime. There has been a huge loss of life throughout the world – over 207 thousand as of 4/27/2020 with almost 55 thousand in the United States alone. There has also been terrible economic damage as businesses have shuttered and people faced stay-at-home orders – millions of jobs have been lost.
Within the United States, states are slowly beginning to open up again – to the delight of some and to the worries of others. The Trump administration has released suggested guidelines for states to use to help decide when to begin to reopen again. Part of these guidelines require measurements, for example, a downward trajectory of documented cases within a 14-day period.
I have seen a lot of data on COVID-19 – by country, by state, by county. Whenever I look at data over time, the first thing I do is to analyze the results using a control chart – looking for patterns in the data – trying to answer the questions - are things staying the same, are things getting better, or are things getting worse.
This publication examines some of the available COVID-19 data using the control chart approach to help understand the data. We start with the United States as a whole and then tunnel down into one state, my home state of Texas.
In this issue:
- Federal Guidelines for Opening Up America Again
- Data Source
- United States COVID-19 Analysis
- Tunneling Down into the States
- Texas COVID-19 Analysis
- Quick Links
Please feel free to leave a comment at the end of this publication. You may download a pfd copy of this publication at this link.
Federal Guidelines for Opening Up America Again
The Trump administration published guidelines for states to follow to begin to open again. The guidelines are published at this link. The proposed approach includes the following objectives:
- Based on up-to-date data and readiness
- Mitigates risk of resurgence
- Protects the most vulnerable
- Implementable on statewide or county-by-county basis at governors' discretion
Note that it involves "up-to-date data." Before even starting to open up, there are "gating criteria" that must be satisfied before moving to the phased comeback. These gating criteria are in three areas:
- Symptoms: downward trajectory of influenza-like illnesses (ILI) reported within a 14-day period AND downward trajectory of COVID-like syndromic cases reported within a 14-day period
- Cases: downward trajectory of documented cases within a 14-day period OR downward trajectory of positive tests as a percent of total tests within a 14-day period (flat or increasing volume of tests)
- Hospitals: treat all patients without crisis care AND robust testing program in place for at-risk healthcare workers, including emerging antibody testing
Most of these also involve data – particularly the number of cases. So, let us look at how the data may be viewed using control charts.
The data used in this analysis comes from The COVID Tracking Project website. The website updates data daily for the United States and the individual states. From the website:
"This project was launched out of The Atlantic to fill a major gap in publicly available COVID-19 testing data. Johns Hopkins University maintains a comprehensive case count, but no governmental or institutional source is publishing complete testing data—including not just identified cases, but how many people have been tested, and where. Without this data, we can't make informed decisions or accurately communicate risks."
The website provides historical data over time – a must to use to see if something is increasing, decreasing or staying the same. Just a word of caution about these data – the historical data changes some over time as new information is obtained, particularly the data for the last couple of days. The data used in this publication was downloaded on 4/28. Data through 4/27 were used in the analysis. You may download an Excel workbook with the data used at this link.
United States COVID-19 Analysis
It was not until 3/16 that data from all states and territories were being reported. So, 3/16 will be the starting point for the data analysis. We will look at the data for four variables on a daily basis:
- Number of Cases (part of the gating criteria)
- % of Positive Tests (part of the gating criteria)
- Number of Hospitalizations
- Number of Deaths
The individuals (X) control chart from the SPC for Excel software is used in all the control charts below. The moving range was not included in the analysis. Please see our publication on individual control charts to learn more about this type of control chart.
Figure 1 is the X control chart for the number of new cases per day in the United States.
Figure 1: Number of New COVID-19 Cases per Day in the United States
Not surprisingly, this X control chart does not do us much good as it is. You must use your ability to see where the shifts occur in the control chart to split the average and control limits. You can see in Figure 1 that there is an upward trend from 3/16 to about 4/2 – even predictable. This is followed by a period that look stable – consistent in control chart terms. Figure 2 shows the number of new cases with the control limits split starting on 4/3 and the option to check for trends used.
Figure 2: Number of New COVID-19 Cases per Day in the United States with Control Limits Split
Figure 2 shows a period where the number of new cases increased daily in a predictable fashion from 3/16 to 4/2. The slope of line during that time frame is about 1,606 – which is the increase in new cases each day. The period starting 4/3 appears to be stable – with the exception of the last point on 4/27. The average number of new cases from 4/3 to 4/26 is 29,516 with an upper control limit (UCL) of 36,800 and a lower control limit (LCL) of 22,232.
Right now, the data are fairly consistent, and the number of new cases will remain between the LCL and UCL until more of the efforts to combat the virus take hold. This will be seen when the data breaks out of that range – as it may be starting to do with the last data point. The best approach here would be to set the control limits based on the data from 4/3 to 4/26 and use those limits to judge the future number of cases of COVID-19.
This same approach was taken with the rest of the control charts in this publication. Periods of consistency were found, if present, and the control limits were split to reflect those periods. The control charts with the split limits are shown below.
The data also includes the number of COVID-19 tests each day and the number that were positive and the number that were negative. The gating criteria include looking at the % of tests that are positive, when the number of tests is increasing or staying the same. Figure 3 shows the % of tests that are positive over time.
Figure 3: % of Tests That are Positive for COVID-19 in the United States
There are three patterns it seems. The first range has an average of 12.9%, then there is a range that averages 19.8% and finally it drops off some to an average of 14.3%. The availability of tests has been an issue in the United States. After the outbreak, the tests were limited to people with severe symptoms. Now more people are being tested, which may be the reason for the decrease recently in % of people testing positive.
Figure 4 shows the number of new people hospitalized each day.
Figure 4: Number of New People Hospitalized Each Day in the United States Due to COVID-19
Data for hospitalization was not reported as early as cases. It appears that from 3/26 to 4/18, the process is fairly stable with an average of 3,214, although there is a lot of variation in the numbers. There has been a step change downward in the number of hospitalizations starting at 4/19. The average number since 4/19 per day is 1,691.
Figure 5 shows the number of deaths per day for the United States.
Figure 5: Number of Deaths per Day from COVID-19 in the United States
There appears to be two trends at the first part of the data, one flatter, then the rate of death from the virus increases. Then about 4/7, the pattern becomes more stable. For the last part of the chart, the average number of deaths per day from COVID-19 is 1,876. The control limit range is 1,209 to 2,542. Note that the last two points are below the LCL. This is an indication that the number of deaths per day may be decreasing – in fact, you probably should set the control limits for the time period from 4/7 through 4/25 and use that baseline period to judge future decreases in the number of deaths. But the two points below the LCL are encouraging.
Tunneling Down into the States
While the data above shows what is happening in the United States as a whole, it is not much use for helping states determine when they can reopen for business. There is a lot of variation in the results from state to state. New York is the largest contributor to the data in the United States, but the path New York takes to open will be different than states like Oklahoma. The states must look at their own data to decide what steps they need to take. I live in Texas. We will take a quick look at the data for this state.
Texas COVID-19 Analysis
Texas Governor Greg Abbott announced on 4/27 that businesses would begin to reopen in Texas on 5/1 in a phased process starting with retail stores, restaurants and movie theaters among others but with limited capacity. What do the data tell us about the situation in Texas. The three charts below show the Texas data for number of cases, % positive cases, and number of deaths.
Figure 6: Number of New COVID-19 Cases per Day in Texas
Figure 7: % of Tests That are Positive for COVID-19 in Texas
Figure 8: Number of Deaths per Day from COVID-19 in Texas
Figure 6 shows that the number of new cases per day in Texas has leveled out at 816. It does not appear to be decreasing at this time, but it is not increasing either. Examining Figure 7 shows that the % of tests that are positive appears to be decreasing in recent days – although there is no clear signal from the chart. One point had 100% of the day tests being positive. There were only 52 tests run that day. Figure 8 shows that the deaths per day have leveled off, averaging about 26 since 4/9. The number does not appear to be decreasing significantly, although it has decreased from the highs on the chart – so it might be moving in the right direction. For Texas, things might be getting better, but the data does not offer proof of it yet.
So, should Texas reopen? The next logical step in the data analysis is to look at the various counties. As of 4/27, there were still 46 counties (out of 254) in Texas with no cases. Most cases in Texas, of course, involve the bigger cities (e.g. Houston and Dallas). You can tunnel down further to look at the data on a county by county basis. Perhaps opening more on a county to county basis is best for Texas.
This publication has examined some of the COVID-19 data using control charts. The results show that a control chart can pick out the periods where data are increasing or are decreasing or staying the same. The data for the United States show some promising turns in the number of cases as well as the number of deaths with the last points on those two charts dipping below the LCL.
Let us all hope and pray for a cure and vaccine for COVID-19.
Thanks so much for reading our publication. We hope you find it informative and useful. Happy charting and may the data always support your position. Sincerely, Dr. Bill McNeese
BPI Consulting, LLC
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Thanks so much for reading our publication. We hope you find it informative and useful. Happy charting and may the data always support your position.
Dr. Bill McNeese
Control Chart Examples
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- An Example of the Misuse of SPC in Health Care
- Attribute Control Charts in Health Care
- Baseball Has Changed
- COVID-19 Data and Variation
- Control Charts and America's Favorite Pastime - Baseball
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- Control Charts and Surveys
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- KPIs, Control Charts and Linking of Measurements
- Making Sense of Data: SPC and Aviation
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- SPC and Global Warming - 2017 Update
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