A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden
I. Gede Nyoman Mindra Jaya, Henk Folmer, Johan Lundberg
| Year of publication: |
2024
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|---|---|
| Authors: | Jaya, I. Gede Nyoman Mindra ; Folmer, Henk ; Lundberg, Johan |
| Published in: |
The annals of regional science : an international journal of urban, regional and environmental research and policy. - Berlin : Springer, ISSN 1432-0592, ZDB-ID 1471201-5. - Vol. 72.2024, 1, p. 107-140
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| Subject: | Coronavirus | Sterblichkeit | Mortality | Krankenhaus | Hospital | Bayes-Statistik | Bayesian inference | Räumliche Verteilung | Spatial distribution | Schweden | Sweden | 2020 - 2021 |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00168-022-01191-1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014558573