Table 2 Prior distributions

From: Impact of the Euro 2020 championship on the spread of COVID-19

Variable

Meaning

Prior distribution

Equation

coff

Off-diagonal term of non-football related interaction matrix

\({{{{{{{\rm{Beta}}}}}}}}\left(\alpha=8,\beta=8\right)\)

(6)

ωgender

The fraction of female participation in football related gatherings compared to the total participation

\({{{{{{{\rm{Beta}}}}}}}}\left(\alpha=10,\beta=20\right)\)

(9)

\(\Delta {R}_{{{{{{{{\rm{match}}}}}}}}}^{{{{{{{{\rm{mean}}}}}}}}}\)

Mean gathering-related match effect

\({{{{{{{\mathcal{N}}}}}}}}\left(\mu=0,\sigma=5\right)\)

(14)

\(\Delta {R}_{{{{{{{{\rm{stadium}}}}}}}}}^{{{{{{{{\rm{mean}}}}}}}}}\)

Mean effect of hosting a match at the stadium

\({{{{{{{\mathcal{N}}}}}}}}\left(\mu=0,\sigma=5\right)\)

(19)

σα

Prior value of the deviation from the mean match effect

\({{{{{{{\rm{HalfNormal}}}}}}}}\left(\sigma=5\right)\)

(16)

σβ

Prior value of the deviation from the mean stadium effect

\({{{{{{{\rm{HalfNormal}}}}}}}}\left(\sigma=5\right)\)

(21)

R0

Value of Rbase(t) at t = 0

\({{{{{{{\rm{LogNormal}}}}}}}}\left(\mu=1,\sigma=1\right)\)

(23)

σΔγ

Prior value of the effect of the change points of the base reproduction number

\({{{{{{{\rm{HalfCauchy}}}}}}}}\left(0.5\right)\)

(26)

ln

Length of the change point n

\(\log \left(1+\exp \left({{{{{{{\mathcal{N}}}}}}}}\left(4,1\right)\right)\right)\)

(27)

dn

Date of the change point n

\(\,{{\mbox{27th May 2021}}}\,+10\cdot n+{{{{{{{\mathcal{N}}}}}}}}\left(0,3.5\right)\)

(29)

ΔR0,noise

Value of ΔRnoise(t) at t = 0

\({{{{{{{\mathcal{N}}}}}}}}\left(\mu=0,\sigma=0.1\right)\)

(32)

\({\sigma }_{\Delta \tilde{\gamma }}\)

Prior value of the effect of the change points of the reproduction number of other non-balanced transmission

\({{{{{{{\rm{HalfCauchy}}}}}}}}\left(0.2\right)\)

(35)

\({\tilde{l}}_{n}\)

Length of the non-balanced transmission change point n

\(\log \left(1+\exp \left({{{{{{{\mathcal{N}}}}}}}}\left(4,1\right)\right)\right)\)

(36)

\({\tilde{d}}_{n}\)

Date of the non-balanced transmission change point n

\(\,{{\mbox{27th May 2021}}}\,+10\cdot n+{{{{{{{\mathcal{N}}}}}}}}\left(0,3.5\right)\)

(38)

D

Median of the latent period and reporting delay kernel

\(\log ({{{{{{{\mathcal{N}}}}}}}}(\mu=\exp ({\bar{D}}_{{{{{{{{\rm{country}}}}}}}}}),\sigma={\sigma }_{\log \bar{D}}))\)

(41)

σD

Standard deviation of the delay kernel

\({{{{{{{\mathcal{N}}}}}}}}(\mu=0.2\cdot {\bar{D}}_{{{{{{{{\rm{country}}}}}}}}},\sigma=0.08\cdot {\bar{D}}_{{{{{{{{\rm{country}}}}}}}}})\)

(43)

\({r}_{{{{{{{{\rm{base}}}}}}}},d}^{{{{\dagger}}} }\)

Prior fraction of the logit-transformed weekday dependent delay

 

(48), (49)

σr

Prior deviation of the different weekdays from the prior of the fraction of delayed cases

\({{{{{{{\rm{HalfCauchy}}}}}}}}\left(1\right)\)

(51)

e

Prior deviation of each day from the weekday dependent delay

\({{{{{{{\rm{HalfCauchy}}}}}}}}\left(0.2\right)\)

(52)

κ

Overdispersion of the observed cases around the expected number of cases

\({{{{{{{\rm{HalfCauchy}}}}}}}}\left(20\right)\)

(54)

  1. These are all the prior distributions and their meaning in our main model.