Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19

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datacite.relatedItem.issue2
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorDemiao Yu
dc.contributor.authorXiaoran Huang
dc.contributor.authorHengyi Zang
dc.contributor.authorYuanwei Li
dc.contributor.authorYuchen Qin
dc.contributor.authorDaoyong Li
dc.date.accessioned2025-05-14T14:26:29Z
dc.date.available2025-05-14T14:26:29Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12020069
dc.identifier.otherjz000148-0068
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25962
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleMulti-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25963
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