Home ›
Entities
› academia
› A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden
A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden
Research article (The Annals of Regional Science, 2022) · cited 13× · AI/ML
A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden
Summary
A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden is a scholarly article[1].
Key Facts
A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-joint-bayesian-spatiotemporal-risk-prediction-model-of-covid-19-incidence-ic-admission-and-death-with-application-to-s
MLA“A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-joint-bayesian-spatiotemporal-risk-prediction-model-of-covid-19-incidence-ic-admission-and-death-with-application-to-s.
BibTeX@misc{4ortxyz_a-joint-bayesian-spatiotemporal-risk-prediction-model-of-covid-19-incidence-ic-admission-and-death-with-application-to-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden}}, year = {2026}, url = {https://4ort.xyz/entity/a-joint-bayesian-spatiotemporal-risk-prediction-model-of-covid-19-incidence-ic-admission-and-death-with-application-to-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden — https://4ort.xyz/entity/a-joint-bayesian-spatiotemporal-risk-prediction-model-of-covid-19-incidence-ic-admission-and-death-with-application-to-s (retrieved 2026-05-24)