Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion.

ABSTRACT: 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.

SUBMITTER: Wu L 

PROVIDER: S-EPMC7409870 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature