Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling ; volume:12 ; number:1 ; day:7 ; month:6 ; year:2022 ; pages:1-13 ; date:12.2022
Scientific reports ; 12, Heft 1 (7.6.2022), 1-13, 12.2022
- Urheber
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Nazia, Nushrat
Law, Jane
Butt, Zahid Ahmad
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-13403-x
- URN
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urn:nbn:de:101:1-2022080421354196973404
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
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Beteiligte
- Nazia, Nushrat
- Law, Jane
- Butt, Zahid Ahmad
- SpringerLink (Online service)
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