Table 1.
Mathematical formulations used for dose response models.
Fig 1.
Schematic infection maps of (a) Guangzhou restaurant (b) UK flight (c) Wuhan large bus (d) Wuhan mini-bus, and (e) Harbin train used for parameterization (f) legend label [44, 45, 48, 49].
Table 2.
Model fitting parameters from available superspreading events.
Fig 2.
Schematic of modeling scenario of a generic (a) single aisle aircraft, (b) bus (c) railway coach.
Table 3.
Comparison of the normalized dose d in each parameterization scenario.
Table 4.
Cross-validation of parameters in scenarios.
Fig 3.
Total infection in (a) single aisle aircraft (b) bus (c) railway coach using the exponential models and in (d) single aisle aircraft (e) bus (f) railway coach using the Weibull models.
Fig 4.
Parameter sweep with high dose—UK flight parameters using the exponential models for (a) single aisle airplane (b) bus (c) railway coach and using the Weibull models for (d) single aisle airplane (e) bus (f) railway coach.
Fig 5.
Parameter sweep with intermediate dose—Wuhan large bus parameters using the exponential models for (a) single aisle airplane (b) bus (c) railway coach and using the Weibull models for (d) single aisle airplane (e) bus (f) railway coach.
Fig 6.
PRCC values of the number of infections in multiple layouts utilizing (a) the exponential models and (b) the Weibull models.