Author: Zaixing Shi; Ya Fang
Title: Temporal relationship between outbound traffic from Wuhan and the 2019 coronavirus disease (COVID-19) incidence in China Document date: 2020_3_17
ID: hrrzztt5_39
Snippet: The primary strength of this analysis is the use of ARIMA models to examine the temporal relationship between traffic and COVID-19 incidence, allowing us to disentangle the association from a myriad of shared common trends between the two variables. The analysis is also novel in that real-time, cellphone location-based migration data were used to measure population mobility, which is superior to methods based on historical mobility data. This ana.....
Document: The primary strength of this analysis is the use of ARIMA models to examine the temporal relationship between traffic and COVID-19 incidence, allowing us to disentangle the association from a myriad of shared common trends between the two variables. The analysis is also novel in that real-time, cellphone location-based migration data were used to measure population mobility, which is superior to methods based on historical mobility data. This analysis also fitted separate ARIMA models according to differing time-lagged impacts from traffic, leading to a more accurate estimate of the intervention effect for the travel ban.
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