Using existing time-series did the SIP order work in New York.
This repository was created to store the markdown notebook and data sets created for a JAMA research note using basic time sereies data. The data was downloaded from the NY-times dataset and then analyzed for (i) exponetial growth, (ii) overlay of teh 10 days around the SIP-order, siipping 5 days for population adaptation and 10 days after and (iii) difference model with linear modeling to determine the effect. In addition a Granger causality test was done to see if the delayed incumbation time affected the numbers of cases after the SIP order.
Ultimately the goal of this and other notebooks around the COVID-19 pandemic are meant to be used by all to halp provide predicitive models to determine best practices for public health. Following the GPLv3 guidelines