COVID19 in Georgia

Today I analyze COVID19 data for my home state of Georgia. I thought it would be interesting because there is an anomaly. Let’s see the anamoly:

Cases per 100K (Source)
Population Density

You see it? The largest density of cases does not match the largest density of population. We would expect most cases per 100K to be in the 9th largest metropolis in the US (Atlanta), but it’s not!

How could this be? What could cause such an anomaly?

It might have something to do with foreign labor? Georgia is the 2nd largest recipient of temporary agricultural H-2A visas in 2019 (Source). Trend:

There’s no data as to which counties migrant workers go to, but we can take a logical leap: The most agriculturally productive counties probably have the most migrant workers.

We would expect those counties with the largest share of agriculture to be those disproportionately affected by COVID19. Let’s see …

Corn, 2019
Cotton, 2019
Peanuts, 2019
Corn, 2018
Cotton, 2018
Peanuts, 2018

It’s not a perfect match, but I think there’s something to it. Maybe I am wrong, but I haven’t found a better explanation from my local media. In fact, the issue was not even addressed by anyone.

Other states also have low density counties with high COVID19 densities, but they seldom surpass the rates in their major metro areas. Georgia is anomalous in this regard.

Thoughts? Comments?

Peace, -Zoe

8 thoughts on “COVID19 in Georgia

      1. Thank you, Zoe. I do my best to call balls and strikes as I see them, not depending on who the batter is.

        And so, despite the fact that you and I often disagree on scientific questions, I am obliged to say that was an insightful analysis. You go.

        w.

        Liked by 2 people

  1. Greetings, Zoe. Thank you for your analysis for Georgia. My comment: The assumption is that Covid cases (case = positive test result) density should correspond to actual infected persons density which should correspond to population density….but I doubt this assumption holds. I think that Covid cases density is mostly a function of testing density. That is, I think that number of Covid cases detected depends upon the number of tests conducted, and that the number of tests conducted is mainly a function of CDC’s policies and is only weakly a function of number of infected people.

    It was a rather interesting coincidence that a plot of USA testing numbers over this spring looks pretty much like a typical epidemic curve. Then, multiplying the testing curve by a fairly constant percentage positive tests (my hypothesis) produces a typical epidemic curve of cases, rapidly and frighteningly increasing over March, as media fodder. I hope that some intrepid person with savvy number crunching skills and access to CDC’s raw (unadjusted) data will look into this hypothesis. The result may change the assessment of . . . the epidemic model predictions and the lockdown policy effectiveness, among other things of more importance.

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  2. Hi Zoe,
    Did you know there is an alternative theory to ‘germ theory’ called ‘terrain theory’? I personally have only discovered this since lockdown with the increased social media publicity about it. It’s most interesting once you delve into it. But essentially it calls into question the contagion and transmissibility of viruses between humans and/or animals (i.e bats). Here are some links if you’re interested; one from Dr. Andrew Kaufman who is making the rounds of alternative media (you’ve probably seen him), and another video presentation by Dr. Stefan Lanka, who successfully claimed in a German supreme court that the measles virus hasn’t been proven to exist. Anyway, interesting to say the least. Nicky

    https://infectiousmyth.podbean.com/e/the-infectious-myth-andrew-kaufman-coronavirus-is-not-a-virus/

    Liked by 1 person

    1. Yes, very interesting stuff.
      Personally, I don’t believe in illness. Let others worry about it. It’s not for me.
      I take vitamins, exercise, and eat as much as I want. I weigh 40 kg. I’m that petite. I haven’t been sick in 15 years. Real or imaginary viruses and bacteria can come and go. I will defeat every one of them, or make them work for me 🙂 so I don’t worry about it.

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  3. You look at things with a novel perspective.  You may find this article interesting.  It suggests an alternative hypothesis to explain the spread and symptomatic infection by covid19.https://drmalcolmkendrick.org/2020/04/28/covid-update-focus-on-vitamin-d/Malcolm Kendrick is a Scottish GP.  The references are worth reading.  The Virology article suggests a paradigm for this virus. The PlosOne article indicates a mechanism of action, and the Grassrootshealth article provides information on dose.  Remember that we get vitamin D from sun exposure, and think how it is affected by season and latitude.  Finally, you may find these articles provide more insight:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2870528/http://blogs.creighton.edu/heaney/2015/02/13/the-iom-miscalculated-its-rda-for-vitamin-d/

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