Research Article
Dynamic Analysis of a Stochastic SEQIR Model and Application in the COVID-19 Pandemic
Table 1
Description and values of parameters.
| Parameter | Definition | France | Italy | The UK | Source |
| | Total input | 2218 | 1427 | 2356 | [30] | | Disease transmission rate | 0.926 | 0.571 | 0.999 | Estimated | | Natural death rate | | | | [31] | | The recovery rate of | 0.073 5 | 0.076 | 0.071 4 | [33, 34],estimated | | The rate that becomes | 0.1 | 0.012 | 0.1 | Estimated | | The rate that becomes | 0.718 | 0.335 4 | 0.773 4 | Estimated | | The rate that becomes | 0.1923 | 0.192 4 | 0.199 | [32] | | The rate that becomes | 0.630 8 | 0.8 | 0.1 | Estimated | | The mortality rate of | 0.024 9 | 0.033 8 | 0.029 4 | [31] |
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