Table 1 Parameters of the Wuhan COVID-19 outbreak models.
Quantity | Description | Type | Value | Initial value | References |
---|---|---|---|---|---|
F(t) | Zoonotic/day | Stepwise function | {0, 10} | 10 | – |
N(t) | City population | Computed | – | 14 MM | South China Morning Post (2020)13 |
s(t) | Susceptible | Computed | – | 0.9999 | – |
e(t) | Exposed | Computed | – | 0.0001 | – |
i(t) | Infected | Computed | – | 0 | – |
r(t) | Recovered | Computed | – | 0 | – |
d(t) | Expected to die | Computed | – | 0 | – |
p(t) | Perception of risk | Computed | – | 0 | – |
\(\kappa \) | Strength of response | Constant | (0, 1117.3) | – | He et al. (2013)3 |
\(\alpha \) | Governmental action strength | Stepwise function | {0, 0.4239, 0.8478}\(^a\) | 0 | Lin et al. (2020)8 |
\(\beta _0\) | Baseline transmission rate | Stepwise function | {0.5944, 1.68} | 0 | Lin et al. (2020)8 |
\(\mu \) | Emigration rate | Stepwise function | {0, 0.0205, 0} | 0 | South China Morning Post (2020)13 |
\(\sigma ^{-1}\) | Mean latent period | Constant | 3 days | 0 | Wu et al. (2020)14 |
\(\gamma ^{-1}\) | Mean infectious time | Constant | 5 days | 0 | Wu et al. (2020)14 |
\(\lambda ^{-1}\) | Mean time of public reaction | Constant | 11.2 days | 0 | |
\(g^{-1}\) | Mean time in unit d | Constant | 8 | 0 | He et al. (2013)3 |
\(\phi \) | Case fatality proportion | Constant | (0.5%, 20%) | 0 | – |