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

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

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 d...

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Main Authors: Lin Wu, Lizhe Wang, Nan Li, Tao Sun, Tangwen Qian, Yu Jiang, Fei Wang, Yongjun Xu
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:The Innovation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666675820300333
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spelling doaj-94f204946b6043a89985fb2b09c567b02021-02-07T04:25:47ZengElsevierThe Innovation2666-67582020-08-0112100033Modeling the COVID-19 Outbreak in China through Multi-source Information FusionLin Wu0Lizhe Wang1Nan Li2Tao Sun3Tangwen Qian4Yu Jiang5Fei Wang6Yongjun Xu7Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Corresponding authorChina University of Geosciences (Wuhan), Wuhan, ChinaResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, ChinaInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, ChinaInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, ChinaInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, ChinaInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Corresponding authorInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Corresponding authorModeling 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.http://www.sciencedirect.com/science/article/pii/S2666675820300333
collection DOAJ
language English
format Article
sources DOAJ
author Lin Wu
Lizhe Wang
Nan Li
Tao Sun
Tangwen Qian
Yu Jiang
Fei Wang
Yongjun Xu
spellingShingle Lin Wu
Lizhe Wang
Nan Li
Tao Sun
Tangwen Qian
Yu Jiang
Fei Wang
Yongjun Xu
Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
The Innovation
author_facet Lin Wu
Lizhe Wang
Nan Li
Tao Sun
Tangwen Qian
Yu Jiang
Fei Wang
Yongjun Xu
author_sort Lin Wu
title Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
title_short Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
title_full Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
title_fullStr Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
title_full_unstemmed Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
title_sort modeling the covid-19 outbreak in china through multi-source information fusion
publisher Elsevier
series The Innovation
issn 2666-6758
publishDate 2020-08-01
description 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.
url http://www.sciencedirect.com/science/article/pii/S2666675820300333
work_keys_str_mv AT linwu modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT lizhewang modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT nanli modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT taosun modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT tangwenqian modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT yujiang modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT feiwang modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
AT yongjunxu modelingthecovid19outbreakinchinathroughmultisourceinformationfusion
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