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All 8 of America’s Worst-Hit Coronavirus States Are Now in the South.

Eric Zuesse

Ten of the 11 worst-hit covid states are in the south, mainly in the southeast — Old Dixie. The only non-southern state that’s among the worst-hit 11 states is Iowa, which has the 9th-worst infection-rate. All of the 11 worst-hit states voted for Trump in 2016.

The data-source used here is the most-comprehensive and up-to-the-minute of all websites about the covid-19 global pandemic:

https://www.worldometers.info/coronavirus/country/us/.

The columns there that are the basis of these rankings are the two that are headed “Tot Cases/1M pop” and “Deaths/1M pop”. To see either column’s entries in rank-order, just click onto that column’s heading.

The states which will be boldfaced in this report are states that voted for Trump (shown as the red states on this map). Non-boldfaced states voted for the Democratic Party’s nominee.

In order, starting with the state that has America’s highest percentage of its population who have been diagnosed with the coronavirus-19 (or “covid-19”) virus, the worst 11 states, in that rank-order, are: Louisiana, Florida, Mississippi, Alabama, Arizona, Georgia, Tennessee, South Carolina, Iowa, Arkansas, and Texas.

The only far-southern state that’s not among those 11 worst-hit states is New Mexico, which is a remarkable exception, because it is actually far better than the U.S. average of 21,132 coronavirus-19 (or covid-19) cases per million of population: N.M. That state has only 13,121 cases per million, which places it as the 15th-best state. By contrast, Texas is the 11th-worst at 24,873, and Louisiana is the #1 worst state, at 34,680. N.M is also the only far-southern state which did not vote for Trump. All of the 11 worst-hit states (in terms of infection-rates) voted for Trump in 2016.

(Here are the detailed data on that: In “Tot Cases/1M pop”, Louisiana is 34,680, Florida is 31,914, Mississippi is 31,435, Alabama is 29,732, Arizona is 29,435, Georgia is 28,835, Tennessee is 26,872, South Carolina is 26,746, Iowa is 25,557, Arkansas is 25,092,  Texas is 25,017, and the twelfth-worst, New York, is 24,865.)

In terms of the worst-hit state regarding its percentage who have died from the infection, those are predominantly states which had terribly high infection-rates back in March and April, and so the worst four, starting with the very highest death-rate state, are: New Jersey, New York, Massachusetts, and Connecticut, all of which voted against Trump. The 5th-worst on covid death-rates is Louisiana. So: high death-rates follow after high infection-rates. Consequently, perhaps the most effective way to keep the death-rates down is to keep the infection-rates down. Generally speaking, the states which, now — more than six months into this epidemic in America — will have the highest death-rates from this disease, will probably be the states that now have the highest rates of the infection. So: the current infection-rates may reasonably be considered to be fairly reliable predictors of what the final covid death-rate in a given state will likely be.

The states that have the lowest infection-rates, starting with the best, are: Vermont, Maine, New Hampshire, Oregon, West Virginia, Hawaii, Wyoming, Alaska, Montana, and Washington, as constituting the top ten.

The states that have the lowest death-rates are, again starting with the best: Alaska, Hawaii, Wyoming, Vermont, Maine, Oregon, Utah, Montana, West Virginia, and Kansas, as constituting the ten best. (Except for Utah, all ten of the lowest death-rate states were in the best 21 states on the lowness of infection-rates back on April 6th.)

Politically, the coronavirus-worst states at the start of the epidemic were predominantly Democratic states (perhaps because they tended to have more-concentrated, urban, populations), and the coronavirus-worst states, at the present time, are overwhelmingly Republican — and all of the 11 worst-hit are Republican — (perhaps because Republican states tend to be conservative and libertarian, and therefore oppose government regulations).

Other than the worst-hit 11 states, there is no clear predominance of either political Party among the other 39 states.

Politically, the most remarkable finding, thus far, is that now, over a half-year into the epidemic’s raging phase, all 11 of the most-infected states had voted for Trump in 2016. What might explain that finding? Maybe those were the places that were the least adhering to the facial masking and social distancing policies that were being applied in the countries that have the lowest rates of the infection, such as Vietnam, Cambodia, Taiwan, Thailand, China, Myanmar, and all of the others that have below 200 cases per million (as compared to America’s 21,136 cases per million, which is over a thousand times higher, at the present stage of this global pandemic). Worldwide, the rate is 4,013; so, America has over 5 times the global infection-rate. Only Vermont and Maine have lower infection-rates than that global average: Vermont’s is 2,748, and Maine’s is 3,778. Third-best is New Hampshire, at 5,845. Also remarkably, those are three adjoining states: America’s farthest-northeast.

On September 15th, Dr. Anthony Fauci said to Vermonters “I believe strongly that I’d do what you’ve been doing in Vermont in the rest of the country. … This is success because of what you did.” He added that “These public health principles don’t really change. Regardless of your size, they remain true. … Whether you are in Vermont or New York City downtown,” public-health protocols “work. They work in states with small numbers like Vermont, and in states with large numbers like New York and Texas and California. … It’s not a question of density or not, it’s a question of what you did or did not do correctly, and from what I’ve seen Vermont has done it correctly.” Hong Kong has 671 cases per million. NYC has 244,813 cases and 8.4 million population, so it has 29,144 cases per million. NYC’s rate is 43.4 times worse than Hong Kong’s. Vietnam’s Ho Chi Min City has 8.9 million population and 77 cases and no deaths. NYC’s cases-rate is 3,368 times higher. This sort of comparison has been noticed before, such as with regard to Tokyo. The U.S. economy is suffering hugely because of its stratospheric coronavirus-rates — not because of its (alleged-by-libertarians) over-application of measures to keep those rates down. It didn’t have to be this way. But it very much is.

The chart showing “Daily New Cases in the United States” indicates that, after having, for more than a month, been declining to a bottom of 25,411 new daily cases on September 7th, the number of new daily cases has risen slightly to 33,344 on September 20th.

—————

Investigative historian Eric Zuesse is the author, most recently, of  They’re Not Even Close: The Democratic vs. Republican Economic Records, 1910-2010, and of  CHRIST’S VENTRILOQUISTS: The Event that Created Christianity.

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SteveK9
SteveK9
September 21, 2020

Eric you are truly a dunce. Look at deaths per million per State, and you will see that the worst State (if you want to call it that) is NY … by far.

S4bj
S4bj
Reply to  Eric Zuesse
September 22, 2020

It would seem that the important stat is the total DEATHS/1M pop. “Cases” tell us very little. Most people with a “case” are not very sick. OTOH most that die are quite sick.

Glocken-spiel
Glocken-spiel
Reply to  Eric Zuesse
September 22, 2020

Coronahoax is an election year operation to defeat Trump. Corrupt counties and DEM cities count accident deaths as coronavirus fatalities. I don’t know if you live in the US or not, but the US test kits have been proven to be faulty since the beginning of the year as dead virus cells give false positives. The credibility of US ‘health officials’ has been destroyed as the CDC made yet another 180 degree flip, this time with its ‘Covid-19 aerosol transmission’ analysis claiming the release of the opinion paper was a mistake and blamed it on the WHO. The CDC has… Read more »

Sue Rarick
September 21, 2020

And the actual numbers dead above a bad flu season, really has not been worth the destruction of the world economy. Do you have the numbers of people that have died from lack of care because off Covid 19 or the number of people who have committed suicide because of the shut downs? We have people in our household who literally died on the way to the hospital from H1N1 and can not get normal follow-up care because of restricted Covid procedures. Want to count that as Covid related? Like it or not; you promoting draconian rules are responsible for… Read more »

Mao Cheng Ji
Mao Cheng Ji
September 21, 2020

But what you call “infection-rate” is a function of the rate of testing. If you don’t test anyone, your “infection-rate” will always be zero. Therefore, to make any meaningful comparison (especially with the places like Vietnam), you need to normalize your “infection-rate” by the rate of testing. To something like ‘the number of infected per 1000 of tests performed’. But in fact even that will not be meaningful, because the selection of people being tested is also important: are random people being tested or only people with symptoms? If random, are they randomly selected throughout the whole state/country, or mostly… Read more »

Mao Cheng Ji
Mao Cheng Ji
Reply to  Eric Zuesse
September 22, 2020

“do tend to ignore data which contradict their prejudices” Perhaps they do, but my point was that your data is meaningless. For the reasons I listed. Aside from that, even if you did have meaningful data (e.g. the actual number of infected by country), it still wouldn’t prove any ‘successes’ and ‘failures’. There are factors completely outside of government control. Population density, of course. Genetics might be a factor, mandatory bcg vaccinations in the past might be a factor, the rate of smokers might be a factor. And who knows what else. And, for the mortality rate, the general health… Read more »

Mao Cheng Ji
Mao Cheng Ji
Reply to  Eric Zuesse
September 23, 2020

Life expectancy at birth is irrelevant here. You need to check the life expectancy at 60. It’s about 4 years less in Vietnam.

Also, what ‘prejudices’ are you talking about? And also, I don’t see how information can be uninformed.

C’mon, don’t be silly. I know, everyone loves those good-looking tables and charts in worldometers, and it feels like they’re telling you so much. Click here, click there, and see “the truth”. But no, not really.

Mao Cheng Ji
Mao Cheng Ji
Reply to  Eric Zuesse
September 23, 2020

Data sources for what? The fact that the ‘number of infections’ is a function of the number of tests (and also depends on who is selected for testing) is self-evident. The possible effects of the mass bcg vaccinations and of nicotine – I just got it by browsing the net, and then drilling down, searching for more details. The usual way. Here’s the source for the famous “6 percent” controversy: “For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.6 additional conditions or causes… Read more »

Dwaine99
Dwaine99
September 22, 2020

This sounds fishy. I live in the deep south. I don’t know of anyone that has had COVID-19. The only business that requires a mask is Walmart. But, there is a healthy underground community developing because people don’t believe the numbers.

Glocken-spiel
Glocken-spiel
Reply to  Eric Zuesse
September 22, 2020

AL’s ‘infection rate’ is a lie as is FL’s. No one can ‘catch’ coronahoax in 90-plus degree weather outside and high-pressure air conditioning cleans the air in commercial buildings. Covid-19 is a major fraud.

Sue Rarick
September 22, 2020

Eric, How many of those countries are using PCR-40 and how many are using PCR-20 for their testing – there is about an 80/85% difference in results for the same illness. There can be a huge difference in the data because of that – Please clarify the actual PCR testing methods used per country.

Sue Rarick
Reply to  Eric Zuesse
September 22, 2020

The reason I asked was that the method we are using is probably the worst for predicting actual disease results – For example if one were trying to predict the people most likely to pass along the plague – they would not use the PCR we are using – It would show 85-90% of the population can pass it on – but the other PCR test would eliminate 85/90% of the positives and leave only the most likely to pass on the disease. Now both PCR’s have their place. My grandmother was part of the groups originally creating the Princeton… Read more »

Last edited 28 days ago by Sue Rarick

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