VA COVID Status, Jan 26, 2021: Good news, a positive trend (OR NEGATIVE FOR COVID CASES)

VA COVID Status, Jan 26, 2021

Today is full update

One modification:  I now am counting antigen and PCR testing together, as VA is reporting the data in a way that allows it.


The introduction section, situation awareness, is updated with every post.  The figures and tables in the document are always updated, but the text in the remainder of the document is only changed as needed.


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Situational Awareness

Big picture: I have been afraid to post because whenever I post a trend, the trend ends.  The trend is a reduction in the caseload.  All metrics are point in the right direction: caseload, hospitalizations, and % positive.  This probably reflects the end of a spike because of the holiday possibly coupled with the impact of vaccinations (4-5% have been vaccinated which should reduce the number of new cases by a similar percentage, though our drop is much bigger than 4-5 %.  

Outside of Virginia (and the USA), Israel, which has vaccinated 40% of its population, is showing significant reductions in COVID infections in the vaccinated populations (even with only one dose) when compared to the non-vaccinated population. (

Since I last reported, Virginia’s caseload has remained mostly below 5000 (yesterday we were higher with just over 6000 cases. Today’s count close just below the three-week bias-adjusted average of 5,139 cases

The current weekly total of 32,250 new cases (down from 43,129 the prior week).  This works out to 4,607 cases per day, which works out to 55.2 cases/day/100K people. This is down significant from the last several weeks.  The hospitalizations are decreasing, down to about 2850 cases. We continue to have capacity for 3000 more COVID cases in Virginia Hospitals, or about double the current numbers of COVID patients, and we will not exceed that for at least a month at current growth rates.

The trends over the last three weeks now are showing an DECREASE at 0.3% per day or2.2% per week.  

Projection for tomorrow: 4,817, with a 90% chance the cases will be between 3748 – 6216

The testing numbers now show the percent positive to be about 3x the 5% metric over the last week (% positive at 12.1%).  The 5% metric is often used to indicate sufficient testing. This is concerning because, as the percent positive increases, it is possible that some cases are being missed as the number of positives is constrained by the testing availability.  VA is tested about 1.5% of the population in the last week, down from 2.9% in the week prior to thanksgiving.  Factoring in the test rates and the percent positive, it would not surprise me to find out we are missing between 50% & 80% of the case

When we look at the local ZIP code data, we see that the observed increases are almost universal across VA. I am comparing the current estimated % positive to that of one month ago. Note that almost all is a warmer color (further from blue and closer to yellow). This is an indication of the uniformity of the increase. As a practical matter, it means to be safe and careful, no matter where in VA you live, there is risk -- lower than a week or two ago, but higher much higher in October.




In the spring, COVID-19 in VA was primarily a concern in the DC suburbs. Over three to four weeks, (from late May to early June), NOVA recovered and for about a month the disease was under control to the point that restrictions were eased. Unfortunately, in eastern VA/Hampton Roads, the easing of restrictions resulted in a surge in cases which peaked just before August 1st resulting in stricter restrictions in that area. Since then, with the exception of growth on college campuses, the disease has been stable, excluding the rural parts of the state where safeguards (social distancing and masks) are largely ignored. Starting in October our weekly case count has been increasing throughout the Commonwealth, particularly in NOVA and SWVA, and NWVA.  The numbers continued to rise until reaching a peak in mid Jan.  Now, hopefully, we are showing a decline.

Looking at the weekly case count, we see that the numbers are higher than at any other point in the pandemic.

Regional growth rates (in fraction per day) continue to show degradation over the past three weeks. Note: It is easier to show a decline when the prior numbers increased. The current growth rates for the different regions are shown below.





Central VA


Hampton Roads/Eastern VA






The entire state is increasing with Rt= 0.985

The following table shows the number per 100K for each region. Again, NOVA and Eastern VA are doing the best, and the mountainous regions in NW & SW continue having more cases. The concerning aspect is that in all regions the numbers for last week are significantly higher than the preceding three weeks. What is most concerning is that SW & NW VA are hitting significantly higher caseloads.

Daily Cases/100,000 


Last month

Last week
















The following charts show all five regions of the Commonwealth over time.

The individual line charts show the unfiltered data per day, coupled with the trend lines. 

The trend lines show the different periods of growth.  

Early in the pandemic, the different parts of VA were functioning largely independently, with NOVA mimicking the northern states, and Hampton Roads mimicking the southern states. Since September 1, the regions have trended together. Starting in late September, NoVA and SWVA diverged from the rest of the state, a trend that continues today.

Currently SWVA has the greatest number of cases even though they have half the population of NOVA.  

Note that the effects at both ends of the chart are probably artifacts of the (seven-day polynomial filtering I use for averaging); the filter is poorly constrained in the first and last few days of the time history.  For those technically inclined, the filter is called a Savitzky-Golay filter, basically a moving window polynomial filter. At the edge (first and last days of the time series), the filter will over-compensate for the trend as it is unconstrained. I recommend the Wikipedia article if anyone is interested in more information, or contact me.

Local/Northern VA:

After the early peak in May (~1,000 cases per day), NOVA saw a sharp drop in all COVID metrics, reaching a broad valley in mid-June (~200 cases/day), which lasted until around August 1st.  By Sept 1, NOVA increased to 300 but the caseload dropped to about 150 by late in the month. Since then we have had a steady increase averaging up to a current value of 1200/cases per day.


Fairfax Co.


Arlington Co.


City of Alexandria


Prince William Co.


Loudoun Co.


The Number above is Rt:  Rt is an exponential time constant, where the number of cases in a time segment is approximately, n=Ao Rt ^ t, where Ao is the number of cases at the start of the segment, Rt is the exponential growth rate, and t is the number of days since the start of the segment.  So, if Rt is greater than 1, it is growing exponentially, if it is less than one, it is decreasing each day.  

Another way to look at it, todays number are approximately the growth rate times yesterday's numbers.  This is the exponential time constant.  With time constants above 1, we are experiencing exponential growth in the case numbers.

Looking at the trends, the strong downward trend in daily case count we observed since around September 1st has ended.  We now see significant jump in cases in every jurisdiction.


The difference in the colors (contrast) in the NOVA map is increasing. In addition, the NOVA map is warming (as is happening throughout the Commonwealth). At this point, it seems likely that this is related to the fall surge others had predicted.  It is worth noting, though, that Vienna/Oakton is doing better than most of the region. 






Most localities in NOVA have case counts near or above 30-50/100K/day which is a dramatic increase since the fall.   In Vienna, for example, we were under five in late September but are now at 34.5/100K/day.



Last month

Last week

Growth rate (%/day)

Fairfax County:









S. Alexandria








Annandale/Fall Church









 No. Arlington




 So. Arlington








Age Distribution: 

I am not updating this section for the time being except for the charts.  I will leave it here as is for a while longer--at times it can be very interesting.  This is particularly so when specific age groups do not follow other groups. For example, teens and 20-somethings surged in early September while the other age groups did not due to the outbreaks at colleges.



Colleges are restarting; I will be working on a new approach for colleges. However, if you are interested in a specific college, most now have good dashboards, and that is probably a better source of data than my broader surveillance.  (That was not the case in Aug - Oct 2020 when the outbreaks at many campuses occurred).



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