Correction: Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020–2021 pandemic
Andrew B. Lawson, Joanne Kim

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsData-Driven Disease Surveillance · COVID-19 epidemiological studies · Spatial and Panel Data Analysis
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Supporting information
S1 FigDaily case counts. Model risk estimates for SC under model 5A.(TIFF)
S2 FigDaily case counts. Model risk estimates for NJ model 5B.(TIFF)
S3 Fig 3. Day averaged data. Model risk estimates for SC for model 6.(TIFF)
S4 Fig 3. Day averaged data. Model risk estimates for NJ for model 6.(TIFF)
S5 FigMobility data: Work index. Model risk estimates for SC for model 1.(TIFF)
S6 FigMobility data: Work index. Model risk estimates for NJ for model 1.(TIFF)
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