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Conference Paper: Data science and COVID-19

TitleData science and COVID-19
Authors
Wu, JTK
Issue Date2020
Citation
InnoCarnival 2020 Online Public Talks, Hong Kong, 23 December 2020 How to Cite?
AbstractWe will discuss: i) how big data have been integrated into infectious disease modeling in real-time to monitor and forecast the spread of COVID-19; ii) how our digital culture has both strengthened and hindered our ability to control the pandemic.
DescriptionOrganizer: The Hong Kong Academy of Sciences
Persistent Identifierhttp://hdl.handle.net/10722/311559

 

DC FieldValueLanguage
dc.contributor.authorWu, JTKen_HK
dc.date.accessioned2022-03-23T05:17:35Z-
dc.date.available2022-03-23T05:17:35Z-
dc.date.issued2020-
dc.identifier.citationInnoCarnival 2020 Online Public Talks, Hong Kong, 23 December 2020en_HK
dc.identifier.urihttp://hdl.handle.net/10722/311559-
dc.descriptionOrganizer: The Hong Kong Academy of Sciencesen_HK
dc.description.abstractWe will discuss: i) how big data have been integrated into infectious disease modeling in real-time to monitor and forecast the spread of COVID-19; ii) how our digital culture has both strengthened and hindered our ability to control the pandemic.en_HK
dc.languageeng-
dc.relation.ispartofInnoCarnival 2020-
dc.titleData science and COVID-19en_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWu, JTK: joewu@hku.hk-
dc.identifier.authorityWu, JTK=rp00517-
dc.identifier.hkuros320767-

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