Selected article for: "analysis study and association analysis study"

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_5
    Snippet: This analysis aimed to fill in the gap by examining the time-lagged effect between the volume of outbound traffic from Wuhan with the COVID-19 incidence in 31 Chinese provinces during January-February 2020. We further evaluated the overall intervention effect of the Wuhan travel ban by the end of February. Our study used time-series analysis to estimate the association between travel volume and subsequent COVID-19 incidence, which is less biased .....
    Document: This analysis aimed to fill in the gap by examining the time-lagged effect between the volume of outbound traffic from Wuhan with the COVID-19 incidence in 31 Chinese provinces during January-February 2020. We further evaluated the overall intervention effect of the Wuhan travel ban by the end of February. Our study used time-series analysis to estimate the association between travel volume and subsequent COVID-19 incidence, which is less biased as it accounts for the strong autocorrelation within data that are generated from sequential observations. All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

    Search related documents:
    Co phrase search for related documents
    • chinese province and travel ban: 1
    • chinese province and Wuhan travel ban: 1
    • February end and intervention effect: 1
    • February end and outbound traffic: 1
    • February end and time lag: 1, 2
    • February end and time series: 1, 2, 3, 4, 5, 6, 7, 8
    • February end and time series analysis: 1
    • February end and travel ban: 1, 2, 3, 4, 5, 6
    • February end and travel volume: 1
    • gap fill and time series: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • gap fill and time series analysis: 1
    • intervention effect and time lag: 1, 2, 3, 4, 5
    • intervention effect and time lag effect: 1, 2, 3
    • intervention effect and time series: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26
    • intervention effect and time series analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • intervention effect and travel ban: 1, 2, 3
    • outbound traffic and time lag: 1
    • outbound traffic and time series: 1
    • outbound traffic and travel ban: 1, 2, 3