Covid-19 infections in CT, April 10

I updated the numbers of infections, by town, in CT, from the daily reporting site of DPH. Gender and race/ethnic differences are detailed at https://bit.ly/covid_hds_ct 
This time, one can see a 'dynamic view', or a 'movie', of both Covid-19 infection rates (per 10,000 residents), starting with towns with lowest values (green...) and going up; however, below it one can also see 'where those cases are' in both the infection histogram, AND in the histogram of a second town-level variable, percent non-White residents. At the same time, one can see the values in the data behind these, in a table.

 Note that the infection rate was nonsignificant initially, now it became statistically significantly different from 0 on April 10.
A static' map and 'scatter plot matrix':

More data on Covid-19 infections and deaths in CT, and differences by gender and race/ethnicity are posted at: https://public.tableau.com/profile/coman#!/vizhome/Covid-19infectiondisparitiesinCTuptoApr_10/Dashboard1

Epidemic modeling

I just came across an amazing modeling tool built by Gabriel Goh from UC Davis, a  mathematician; https://gabgoh.github.io/COVID/index.html Pretty flexible and amazing!

Less complicated that that, here is a snapshot of the local Covid-2019 (known) infection cases in CT is shown in a GIF below, with data from the CT Department of Public Health "COVID-19 Update March 31, 2020" done with free software GeoDa and then for GIF/screen capture with free software ShareX. This shows number of cases as of March 31, 2020 by town, per 10,000 residents.