The Logistic model is one of the commonly used mathematical models and can be applied in epidemiology. Based on published data, scholars established a Logistic model for the cumulative confirmed cases $I ( t )$ of COVID-19 in a certain region ($t$ in days): $I ( t ) = \frac { K } { 1 + \mathrm { e } ^ { - 0.23 ( t - 53 ) } }$ , where $K$ is the maximum number of confirmed cases. When $I \left( t ^ { * } \right) = 0.95 K$ , it indicates that the epidemic has been initially controlled. Then $t ^ { * }$ is approximately ( $\ln 19 \approx 3$ ) A. 60 B. 63 C. 66 D. 69
The Logistic model is one of the commonly used mathematical models and can be applied in epidemiology. Based on published data, scholars established a Logistic model for the cumulative confirmed cases $I ( t )$ of COVID-19 in a certain region ($t$ in days): $I ( t ) = \frac { K } { 1 + \mathrm { e } ^ { - 0.23 ( t - 53 ) } }$ , where $K$ is the maximum number of confirmed cases. When $I \left( t ^ { * } \right) = 0.95 K$ , it indicates that the epidemic has been initially controlled. Then $t ^ { * }$ is approximately ( $\ln 19 \approx 3$ )
A. 60
B. 63
C. 66
D. 69