Thread by @ulleryatintell

@JoCiavaglia did this very good story about how Bucks County will be reporting its coronavirus figures moving forward. You can read more about that in the link below. More importantly (for me) this gives me an excuse to throw gifs and charts at you!!!!
buckscountycouriertimes.com/story/news/202…

As you're all probably aware, #coronavirus cases are way up in Pennsylvania and across the country. It's not just that cases are up, but that we've just about doubled the 14-day average case counts from the peak in April (in Bucks, MontCo and the statewide average).

A line chart is interesting as an overview, but I thought we should go through the past 9 months in a map to really put this in context. Below is the 14-day average case counts of coronavirus per 100k residents in March and April. Southeastern PA quickly becomes the hardest hit.

COVID-19 cases hit their peak around the middle of April, and we started to see declines across the state through March. Our color bar here is using the average case rate in April as the middle, with standard deviation from the average setting the lows and highs.

Then came June and July. This was when the western part of the state started to see a climb in cases that lead to some bar and nightclub restrictions. We start seeing more cases across the state, but still not nearly as severe in most areas as in April

August wasn't too bad, all thing considered. Some rural counties began seeing case rates higher than ever before, but most counties managed to cool down from previous months' surges.

Centre County had one of the highest rates in the state for while in late August and much of Sept. Again, we're using a population rate here, so not nearly as many cases total. Also, remember that we're basing this on April's average as we enter October

Because October and the start of November is when things kind of went off the rails for new cases. By November, our April benchmark begins to lose all meaning because nearly every county is so far past that earlier average.

I'm going to have to stop there for now. We'll try and talk more about hospitalizations because ... well @pegquann can fill you in on that. buckscountycouriertimes.com/story/news/202…
Anyway, wear a mask and maybe sit this Thanksgiving out.

Damn near forgot. As always, data is analyzed using @PythonPr @matplotlib @geopandas in a @ProjectJupyter notebook. @threadreaderapp Unroll please