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Table 1 Bayesian spatiotemporal models considered for the evaluations

From: Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis

 

Poisson

Negative binomial

\(\mathrm{log}\left({r}_{i}\right)= {r}_{0}+{u}_{i}+{v}_{i}\)

\(\mathrm{log}\left({r}_{ij}\right)= {r}_{0}+{u}_{i}+{v}_{i}+{\beta }_{r}\bullet \mathrm{log}(\sum_{{\delta }_{i}}{y}_{{\delta }_{i},j-1})\)

M1

\(\mathrm{log}\left({\mu }_{ij}\right)=\mathrm{log}\left({S}_{ij}\right)+{\alpha }_{0}+{\beta }_{ep1}\cdot \mathrm{log}\left({y}_{i,j-1}\right)\)  

PM1 (Poisson likelihood with the mean model M1)

NBM1RS (Negative binomial likelihood with the mean model 1 and dispersion varied by area)

NBM1RST (Negative binomial likelihood with the mean model 1 and dispersion varied by area and time)

M2

\(\mathrm{log}\left({\mu }_{ij}\right)=\mathrm{log}\left({S}_{ij}\right)+{\alpha }_{0}+{\beta }_{ep1}\cdot \mathrm{log}\left({y}_{i,j-1}\right)+{u}_{i}+{v}_{i}\)  

PM2

NBM2RS

NBM2RST

M3

\(\mathrm{log}\left({\mu }_{ij}\right)=\mathrm{log}\left({S}_{ij}\right)+{\alpha }_{0}+{\beta }_{ep1}\cdot \mathrm{log}\left({y}_{i,j-1}\right)+{u}_{i}+{v}_{i}+{\beta }_{ep2}\cdot \mathrm{log}(\sum\limits_{{\delta }_{i}}{y}_{{\delta }_{i},j-1})\)  

PM3

NBM3RS

NBM3RST