Author: Meng-Chun Chang; Rebecca Kahn; Yu-An Li; Cheng-Sheng Lee; Caroline O Buckee; Hsiao-Han Chang
Title: Modeling the impact of human mobility and travel restrictions on the potential spread of SARS-CoV-2 in Taiwan Document date: 2020_4_11
ID: 7vh5ipro_29
Snippet: In both models, well connected cities played more important roles, as they spread the virus to other cities more quickly and more widely. The top 5 cities with the highest risk of regional importation included Taipei City, Hsinchu City, Chiayi City, New Taipei City, and Hsinchu County, and the top 5 cities with the highest source values of importation were New Taipei City, Taipei City, Taoyuan City, Hsinchu City and Hsinchu County ( Figure 2 and .....
Document: In both models, well connected cities played more important roles, as they spread the virus to other cities more quickly and more widely. The top 5 cities with the highest risk of regional importation included Taipei City, Hsinchu City, Chiayi City, New Taipei City, and Hsinchu County, and the top 5 cities with the highest source values of importation were New Taipei City, Taipei City, Taoyuan City, Hsinchu City and Hsinchu County ( Figure 2 and Table S2 ). In the contact model, these places also had higher intracity and intercity R0 values (i.e. bigger cities are more densely populated and more well connected) (Table S2) , further increasing the speed of the spread. Similarly, higher travel volume during the Lunar New Year increased the spread of the virus at the initial stage compared to regular days in both models.
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