Table 1 Explanation of the model parameters..

From: Graph neural network surrogates to leverage mechanistic expert knowledge towards reliable and immediate pandemic response

Parameter

Description

\(T_E\)

Duration (in days) in exposed (not infectious) state

\(T_{INS}\)

Duration (in days) in a- or presymptomatic and infectious state

\(T_{Sy}\)

Duration (in days) in mildly symptomatic and infectious state

\(T_{Sev}\)

Duration (in days) in severely infected (hospitalized) state

\(T_{Cr}\)

Duration (in days) in critically infected (ICU) state

\(\rho\)

Transmission risk on contact

\(\xi _{I_{NS}}\)

Proportion of not isolated a- or presymptomatic infectious cases

\(\xi _{I_{Sy}}\)

Proportion of not isolated symptomatic cases

\(\mu _{I_{NS}}^{I_{Sy}}\)

Proportion of symptomatic cases per all a- and presymptomatic infectious cases

\(\mu _{I_{Sy}}^{I_{Sev}}\)

Proportion of severe cases per symptomatic case

\(\mu _{I_{Sev}}^{I_{Cr}}\)

Proportion of critical cases per severe case

\(\mu _{I_{Cr}}^{D}\)

Proportion of deaths per critical case