Table 1. Analytically derived model parameters.
Parameter | Value | Description | Source/derivation |
---|---|---|---|
R0 | 4.4 | Reproduction number for SARS-CoV-2 | Literature-based: assumed on the basis of infectivity rates of other coronaviruses. |
μ | 7 days | Average recovery time since symptoms development | Literature-based |
β | 0.38261 | Transmission rate | |
rβ | 0.5 | Reduction in transmission rate resulting from the undiagnosed development of severe COVID-19 symptoms | Literature-based |
lp | 5.6 days | Average latency period | Literature-based |
lnip | 1.1 days | Average latent non-infectious period | Literature-based: assumed on the basis of non-infectious period of Influenza A/H1N1 |
pip | 4.5 days | Average presymptomatic infectious period | |
niε | 0.9 (09) | Probability of transition from lnip to pip state | |
iε | 0.2 (2) | Probability of transition from presymptomatic to symptomatic state | |
pS | 0.01 | Probability of developing severe COVID-19 symptoms | Literature-data: The most often reported ratio of severe to mild symptoms |
pDS | 0.6 | Probability of being diagnosed when expressing severe COVID-19 symptoms | Assumed, taking into account that: 1. In elderly patients, COVID may be easily misdiagnosed, 2. Most of the countries in the world do not have sufficiently efficient healthcare systems |
tDR | 0.0061 | Rate of diagnosed SARS-CoV-2 infected individuals | Value representing the smallest possible detectability |
pDM | 0.00 (01) | Probability of being diagnosed when presenting mild or none COVID-19 symptoms |