Author: Qihui Yang; Chunlin Yi; Aram Vajdi; Lee W Cohnstaedt; Hongyu Wu; Xiaolong Guo; Caterina M Scoglio
Title: Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China Document date: 2020_3_30
ID: kcb68hue_52
Snippet: The predicted epidemic dynamics from GEMF stochastic simulations are shown in Fig. 5 . We consider four different scenarios: continuing the current trend (Scenario1); decreasing 2 by 25% (Scenario 2); reducing the average node degree inside a city from 15 to 10 (Scenario 3); reducing 2 by 25% and average node degree from 15 to 10 (Scenario 4). Preventive measures such as wearing masks can help reduce the infection rate. On the other hand, the ave.....
Document: The predicted epidemic dynamics from GEMF stochastic simulations are shown in Fig. 5 . We consider four different scenarios: continuing the current trend (Scenario1); decreasing 2 by 25% (Scenario 2); reducing the average node degree inside a city from 15 to 10 (Scenario 3); reducing 2 by 25% and average node degree from 15 to 10 (Scenario 4). Preventive measures such as wearing masks can help reduce the infection rate. On the other hand, the average node degree refers to the possible contacts a person may have in daily life, and this can be reduced by contact reduction and social distancing.
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