Table 3.

Summary of Pandemic and Non-pandemic Model

Data Model
❖ Data as counts	Y j,t∼Pois(λ j,t)
❖ Data as a proportion
Process Model
❖ Pandemic Model
▪ Data as counts	μ j,t = θ j,t ⋅ X t + φ j,t
▪ Data as a proportion	Log(λ j,t) = θ j,t ⋅ X t + φ j,t
▪ “Completeness”
▪ “Excess”
❖ Non-pandemic Model
▪ Data as counts and as a proportion
Parameter Model: non-informative priors
❖ Pandemic Model
❖ Non-pandemic Model
	τ∼Gamma(a, b)