ISSN: 2639-2038
Authors: Zhouxuan Li, Kai Zhang, Tao Xu, Deng HW, Eric Boerwinkle and Xiong M*
As of July 9, 2020, the cumulative cases of Covid-19 in the US passed 3,055,491, including 132,310 deaths, causing a serious public health crisis. There is an urgent need to curb the spread of Covid-19. In the absence of vaccines and effective medication, non-pharmaceutical interventions are the only option to mitigate the spread of Covid-19. To accurately estimate the potential impact of different non-pharmaceutical measures on containing Covid-19 is crucial for planning the most effective interventions to curb the spread of Covid-19. We applied time series regression models to the surveillance data of lab-confirmed Covid-19 cases in the 10 states of the US up to June 22, 2020 in order to evaluate the contributions of the Google mobility indexes, the rate of the virus test and protest to the number of the new cases of Covid-19. We found that the reason for the well-controlled spread of Covid-19 in NY and CT was more likely due to strong health interventions and reason for the less well-controlled spread of Covid-19 in CA, TX, FL and GA was due to weak health interventions. VT, NH and WV were less affected states.
Keywords: COVID-19; Public Health Interventions; Time Series; Transmission Dynamics; Control of the Spread
