50 States of New Data for the Third Wave of COVID-19

Public and private COVID-19 trackers are reporting mixed numbers for the fall COVID-19 wave.

Reports are surfacing of severe outbreaks in some parts of the country, with Wisconsin opening a field hospital near Milwaukee, and El Paso, Texas, ordering 10 mobile morgue trucks to cope with a surge in the number of deaths there.

COVID-19 screening locations that were quiet now have long lines of patients waiting to get tested.

Resources

The Dynata COVID-19 symptom maps and charts are available here.
The mSightly COVID-19 data dashboard is available here.
The COVID Tracking Project at The Atlantic is available here.
The Johns Hopkins Coronavirus Resource Center numbers are available here.
The CDC’s weekly COVID-19 report is available here.
The HHS hospital capacity data is available here.
An earlier article about COVID-19 data is available here.

But federal government death figures look stable, and an independent business data firm, Dynata, has symptom tracker figures suggesting that the overall percentage of U.S. residents with COVID-19-like symptoms is shrinking.

Mortality Data

The U.S. Centers for Disease Control and Prevention (CDC) and state health agencies take weeks to create reasonably complete state-level mortality statistics.

The CDC compares the actual number of deaths reported with the “expected number” of deaths. It comes up with the expected numbers of deaths for a given week by averaging the actual number of deaths that occurred in a specified place during the comparable week in a year, over the previous three years.

If, for example, the CDC was calculating the expected number of deaths for New Jersey for the 45th week in 2020, the CDC staff would average the number of deaths recorded in New Jersey for the 45th week of 2017, 2018 and 2019.

The most recent week with reasonably complete death data is the week ending Oct. 3.

The last time we performed a similar state-level mortality data analysis, we used data for the week ending Sept. 12.

The median actual-to-expected death count ratio for all 50 states and the District of Columbia was 1.085 to 1 for the week ending Oct. 3, up, slightly, from 1.08 to 1 for the week ending Sept. 12.

Because the states with unusually high death counts have small populations, and the states with low death counts have big populations, the actual-to-expected death count ratio for the entire U.S. population for the week ending Oct. 3 was just 1.04 to 1.

But the actual-to-expected death count ratio for the hardest-hit state, Wyoming, increased to 1.51 to 1, from 1.31 to 1.

For a look at the five states with the worst actual-to-expected death count ratios, see the slideshow above. Move your pointer around the first slide to see the control arrows.

For actual-to-expected death count ratios for all 50 states and the District of Columbia, see the table below.

The United States has recorded about 239,000 deaths resulting directly from COVID-19, as of today. COVID-19 has caused about seven deaths per 10,000 residents, or about 0.07% of U.S. residents.

The United States normally averages about 2.7 million deaths per year. In a typical year, about 0.8% of U.S. residents die.

The catastrophic 1918 influenza pandemic caused about 600,000 deaths, in a population of 100 million, or about 0.6% of the people living in the United States in 1918.

Hospital Capacity

Even though COVID-19 mortality seems to be stable, and the percentage of people with COVID-19-related symptoms may be falling, one grim-looking indicator is hospital bed occupancy.

The U.S. Department of Health and Human Services (HHS) is reporting that more than 70% of all hospital intensive care unit (ICU) beds are filled in most of the country.

It’s not clear from the HHS data what percentage of those patients have COVID-19, but HHS does say that patients with COVID-19 are using at least 15% of all occupied hospital inpatient beds in Montana, Nebraska, New Mexico, North Dakota, South Dakota and Wisconsin.

The Dynata Data

Dynata, a data analysis firm, powers the instant surveys that pop up on many websites. The company has used some of its survey muscle to ask survey takers about symptoms that could be symptoms of COVID-19.

The company’s COVID-19 results dashboard shows, for example, what percentage of survey participants have a dry cough along with loss of taste or smell. The dashboard system can break that indicator down by country, by state, by age group and by other factors, such as age.

The Dynata dashboard results suggest that, overall, U.S. public health officials may be succeeding with efforts to control the new wave of COVID-19.

The percentage of all U.S. Dynata survey participants who said they had a dry cough with loss of the sense of smell or taste was 0.6% for the two-week period ending Nov. 6, down from 0.9% for the two-week period ending Oct. 16.

The overall percentage was 1% or higher from around July 1 through Oct. 10 and seems to have been below 1% since Oct. 10.

One question has been what the return of students to colleges, universities and other schools might do COVID-19 infection rates.

The percentage of U.S. Dynata survey participants ages 18 to 24 who said they had a dry cough with loss of the sense of smell or taste was 2.7% for the two-week period ending Nov. 6, down from 2.8% for the two-week period ending Oct. 16.

For participants ages 55 through 64, who are likely to carry substantial amounts of life and disability insurance and may also face a relatively high risk of suffering severe COVID-19 complications, the percentage who said they had a dry cough with loss of the sense of smell or taste was 0.5% both for the two-week period ending Oct. 16 and for the two-week period ending Nov. 6.

The Dynata maps confirm that COVID-19 symptom prevalence varies widely by state and age group.

In Wyoming, for example, the percentage of all people with COVID-19 symptoms increased to 2.5% Monday, from 2.1% Friday.

For people ages 18 through 24, Colorado, Nebraska, Nevada, Oklahoma, Wisconsin and Utah all have Dynata COVID-19 symptom rates over 5%

(as of Oct. 3)
Ratio of All Reported Deaths to Expected Deaths
	COVID-19 Deaths	Pneumonia, Influenza, or COVID-19 Deaths	Total Deaths	Total Deaths as % of Expected Deaths
Alabama	103	157	1,032	1.09
Alaska	NA	NA	59	0.68
Arizona	35	98	1,187	1.13
Arkansas	112	150	765	1.36
California	329	611	5,562	1.15
Colorado	33	67	771	1.04
Connecticut	16	27	428	0.73
Delaware	NA	16	175	1.02
District of Columbia	10	20	130	1.23
Florida	312	522	4,332	1.13
Georgia	149	211	1,731	1.09
Hawaii	20	31	213	0.99
Idaho	29	37	324	1.23
Illinois	142	245	2,104	1.05
Indiana	137	214	1,331	1.1
Iowa	83	114	653	1.08
Kansas	67	84	568	1.15
Kentucky	52	97	884	1.01
Louisiana	65	90	867	1.07
Maine	NA	15	288	1.05
Maryland	41	84	1,059	1.15
Massachusetts	25	86	1,098	0.97
Michigan	77	159	1,996	1.1
Minnesota	68	107	844	0.98
Mississippi	83	133	681	1.16
Missouri	225	269	1,388	1.19
Montana	29	38	236	1.11
Nebraska	39	52	362	1.12
Nevada	35	66	539	1.13
New Hampshire	NA	12	221	0.91
New Jersey	33	89	1,321	0.97
New Mexico	11	26	338	0.99
New York	50	171	1,954	1.05
New York City	34	84	968	0.93
North Carolina	0	0	NA	0
North Dakota	58	69	189	1.33
Ohio	131	230	2,504	1.1
Oklahoma	73	127	746	1.03
Oregon	21	38	700	0.99
Pennsylvania	123	225	2,623	1.04
Rhode Island	10	17	208	1.08
South Carolina	101	150	1,114	1.21
South Dakota	39	47	194	1.22
Tennessee	124	208	1,680	1.22
Texas	277	478	3,943	1.04
Utah	26	52	393	1.12
Vermont	0	0	125	1.03
Virginia	86	138	1,474	1.17
Washington	45	102	1,129	1.08
West Virginia	19	34	303	0.7
Wisconsin	84	117	1,147	1.16
Wyoming	NA	NA	117	1.51
Puerto Rico	44	94	457	0.75