Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19
datacite.relatedItem.firstPage | 69 | |
datacite.relatedItem.issue | 2 | |
datacite.relatedItem.relatedIdentifierType | ISSN | |
datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
datacite.relatedItem.relationType | IsPublishedIn | |
datacite.relatedItem.title | IJGI | |
datacite.relatedItem.volume | 12 | |
dc.contributor.author | Demiao Yu | |
dc.contributor.author | Xiaoran Huang | |
dc.contributor.author | Hengyi Zang | |
dc.contributor.author | Yuanwei Li | |
dc.contributor.author | Yuchen Qin | |
dc.contributor.author | Daoyong Li | |
dc.date.accessioned | 2025-05-14T14:26:29Z | |
dc.date.available | 2025-05-14T14:26:29Z | |
dc.date.issued | 2023 | |
dc.identifier.doi | https://doi.org/10.3390/ijgi12020069 | |
dc.identifier.other | jz000148-0068 | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25962 | |
dc.publisher | MDPI AG | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 550 | |
dc.title | Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19 | |
dc.type | Article | |
dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25963 | |
dcat.distribution.supplierxml | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25964 | |
dspace.entity.type | Dataset | |
relation.isDistributionOfDataset | 5f4e2d14-8dcb-492c-a61b-262d1ce8c7ad | |
relation.isDistributionOfDataset | 8307c6da-901e-41e6-9862-736e8d7c8b56 | |
relation.isDistributionOfDataset | 1d185ed8-27bb-4746-bbe6-cb8687494ecc | |
relation.isDistributionOfDataset.latestForDiscovery | 5f4e2d14-8dcb-492c-a61b-262d1ce8c7ad | |
wdm.archivematicaaipuuid.original | babde5f0-eedf-4551-82d8-5fe581d3e4aa |