Monday, March 18, 2019

Chlamydia 2000-to-2016

All data courtesy of the CDC
This heat map shows the rate of new cases of Chlamydia reported for the years 2000-through-2016 on a county by county basis. Rate means that it is normalized for population; new cases per 100,000 of population.

There is some obvious funny business with reporting. Washington DC had a rate of 1000/100,000 in 2012 and 2013 and dropped to zero for 2014 and 2015.

Coastal states from Massachusetts to Florida and then west to Louisiana get monkey hammered.

Counties with large Indian reservations are hot-spots.

Some large cities are hammered. Philadelphia, Baltimore and the Bronx at 1200 per 100k in 2016. Other large cities like Jefferson and Baldwin Counties in Alabama are suspiciously low at 34 and 16 cases per 100k.

A regression of rate (which is population invariant) and population shows almost no correlation with a correlation of +0.12  That correlation might get stronger if a multi-year average was used.  For example, Loving County, Texas, population 112, had  rate as high as Wayne County, Michigan (Detroit) because it had 1 case. It might go another five years before it reports its next case.

Chlamydia was chosen because it is currently the most common STD and consequently the data should be least polluted by reporting anomalies. It also might be serviceable as a proxy for how a disease like Ebola might spread. 

Looking at my home state of Michigan, you can clearly see the I-94 corridor going dark before the rest of the state. In Illinois and Missouri the I-70 corridor stands out. Other states like Indiana and Ohio just shade a little bit darker every year.

An odd part of me wonders how Chlamydia rate and out-of-wedlock births correlate across counties and across time.

It is difficult to pick out any trends but it is entertaining to watch the map twinkle.

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