Author: Wu, Lin; Wang, Lizhe; Li, Nan; Sun, Tao; Qian, Tangwen; Jiang, Yu; Wang, Fei; Xu, Yongjun
Title: Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion Cord-id: z2ni79al Document date: 2020_8_6
ID: z2ni79al
Snippet: Modeling the outbreak of a novel epidemic, such as coronavirus disease 2019 (COVID-19), is crucial for estimating its dynamics, predicting future spread and evaluating the effects of different interventions. However, there are three issues that make this modeling a challenging task: uncertainty in data, roughness in models, and complexity in programming. We addressed these issues by presenting an interactive individual-based simulator, which is capable of modeling an epidemic through multi-sourc
Document: Modeling the outbreak of a novel epidemic, such as coronavirus disease 2019 (COVID-19), is crucial for estimating its dynamics, predicting future spread and evaluating the effects of different interventions. However, there are three issues that make this modeling a challenging task: uncertainty in data, roughness in models, and complexity in programming. We addressed these issues by presenting an interactive individual-based simulator, which is capable of modeling an epidemic through multi-source information fusion.
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