COVID Projections Using Population Density

COVID Projections:

When looking at COVID fatality data, 2 things jumped out at me. 1) correlation between state population density and deaths per capita and 2) the shape of the curve of fatalities. If you build a model that estimates per capita fatalities using pop density and weeks beyond peak fatality day, you get a very strong predictor (89% R^2).

The (linear) equation is:
Est fatalities per million = -56 + 14 * (weeks from peak) + .92 * (Pop Density)

Where there are large differences between estimated and actual, one could hypothesize that they are an indication of where that state is in the “curve” or lifecycle of the outbreak.

States that are the farthest along in the curve (expect declining fatality counts) are as follows:

States that are the furthest behind (expect rising fatality counts) are as follows:

1 thought on “COVID Projections Using Population Density

  1. The stats I have seen from Oregon and Washington (state) show that the majority (90%+) of those succumbing to the virus are at or even significantly above the typical age for human longevity. Yes, it is tragic when people die, but there should be a recognition that life is finite, peril will always exist and this irrational response is stealing our connectiivity and enjoyment of life.

    Liked by 1 person

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