Author: tianyi qiu; Han Xiao
Title: Revealing the influence of national public health policies for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling Document date: 2020_3_12
ID: 9zs68dnn_32
Snippet: Although the transmission parameter α and β would not be the same as those before the lockdown, they were both increased by 25% (compared to the values during lockdown) to simulate the early release of the city. The results indicated that it was still a great risk to release the city before the epidemic reached the end point, even though the situation seemed to be under control. Simulation results for release Wuhan on Apr. 27 th , 2020. c) The .....
Document: Although the transmission parameter α and β would not be the same as those before the lockdown, they were both increased by 25% (compared to the values during lockdown) to simulate the early release of the city. The results indicated that it was still a great risk to release the city before the epidemic reached the end point, even though the situation seemed to be under control. Simulation results for release Wuhan on Apr. 27 th , 2020. c) The epidemic situation on Apr. 27 th , 2020, 150 days after the lockdown. Blue, red and green dots located on the map of Wuhan represent the exposed, infected with symptoms and with medical care respectively. d) The epidemic situation on Jun. 26 th , 2020, 60 days after the release of the city.
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