Table 2 The parameters and initial conditions defining three outbreak cases, key values that can be derived from these, and the timescales that result from these in the SEIR-C system.

From: Relating quanta conservation and compartmental epidemiological models of airborne disease outbreaks in buildings

Case

Parameters

Initial condition

Derived values

Timescales

1

\(\alpha = 2.5\)

\(\Omega = 0.04\)

\(\Gamma = 0.008\)

\(\eta _0 = 0.01\)

\(S_0 = 0.99\)

\(E_0 = 0\)

\(I_0 = 0.01\)

\(\alpha / \Gamma = 25\)

\(S_f = 0\)

\(S_\eta = 0.98\)

\({\mathscr {T}}_\eta = 0.988\)

\({\mathscr {T}}_E\) = 6.325

\({\mathscr {T}}_\Omega = 25\)

\({\mathscr {T}}_\Gamma = 125\)

2

\(\alpha = 10\)

\(\Omega = 0.0004\)

\(\Gamma = 0.004\)

\(\eta _0 = 0.1\)

\(S_0 = 0.99\)

\(E_0 = 0\)

\(I_0 = 0.01\)

\(\alpha / \Gamma = 2500\)

\(S_f = 0\)

\(S_\eta = 0.36\)

\({\mathscr {T}}_\eta = 0.632\)

\({\mathscr {T}}_E\) = 3.16

\({\mathscr {T}}_\Omega = 3333\)

\({\mathscr {T}}_\Gamma = 250\)

3

\(\alpha = 2\)

\(\Omega = 0.01\)

\(\Gamma = 1\)

\(\eta _0 = 0.01\)

\(S_0 = 0.99\)

\(E_0 = 0\)

\(I_0 = 0.01\)

\(\alpha / \Gamma = 2\)

\(S_f = 0.193\)

\(S_\eta = 0.97\)

\({\mathscr {T}}_\eta = 0.99\)

\({\mathscr {T}}_E\) = 6.34

\({\mathscr {T}}_\Omega = 100\)

\({\mathscr {T}}_\Gamma = 1\)