Data for: Examining the Effect of Social Distancing on the Compound Growth Rate of SARS-CoV-2 at the County Level (United States) Using Statistical Analyses and a Random Forest Machine Learning Model

Name: Data for: Examining the Effect of Social Distancing on the Compound Growth Rate of SARS-CoV-2 at the County Level (United States) Using Statistical Analyses and a Random Forest Machine Learning Model
Creator: Jared Cobb
Published: 2021-04-26T19:31:47.341Z
Keywords: Epidemiology

Cobb, Jared

doi:10.17632/ww9y23tjtc.2

Data for: Examining the Effect of Social Distancing on the Compound Growth Rate of SARS-CoV-2 at the County Level (United States) Using Statistical Analyses and a Random Forest Machine Learning Model

Published: 26 April 2021| Version 2 | DOI: 10.17632/ww9y23tjtc.2

Contributor:

Jared Cobb

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(1) counties that had confirmed cases of COVID-19 before March 16 guidelines and experienced a SIP order at least three days after March 16 (186 counties, referred to as wSIP)(Counties with SIP.csv); (2) counties that had confirmed cases before March 16 and experienced no SIP order (60 counties, referred to as noSIP) (Counties without SIP.csv).

Data for: Examining the Effect of Social Distancing on the Compound Growth Rate of SARS-CoV-2 at the County Level (United States) Using Statistical Analyses and a Random Forest Machine Learning Model

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