get_infectiousness_density {smidm} | R Documentation |
Dataframe with dates and infectiousness probability
Description
Creates a dataframe containing infectiousness at a particular date/time, given the symptom_begin_date.
Usage
get_infectiousness_density(
symptom_begin_date,
infectiousness_shift = 12.272481,
max_infectious_days = 24,
shape_infectiousness_gamma = 20.516508,
rate_infectiousness_gamma = 1.592124
)
Arguments
symptom_begin_date |
Date, when the person gets symptoms. |
infectiousness_shift |
Number of days with the largest contagions before the first symptoms. |
max_infectious_days |
Number of the infectious days. |
shape_infectiousness_gamma |
Number, the shape parameter for the gamma distribution. |
rate_infectiousness_gamma |
Number, the rate parameter for the gamma distribution. |
Details
infectiousness_shift, shape_infectiousness_gamma and rate_infectiousness_gamma are the distribution parameters for the infectious period from He et al. (2020).
Value
Dataframe with dates and infectiousness probability.
References
He, X et al. (2020) "Temporal dynamics in viral shedding and transmissibility of COVID-19". Nature Medicine, 26: 672–675.
Examples
get_infectiousness_density(as.Date("2022-03-22"))
get_infectiousness_density(as.Date("2022-03-22"), infectiousness_shift = 12.272481,
max_infectious_days = 24, shape_infectiousness_gamma = 20.516508,
rate_infectiousness_gamma = 1.592124)
[Package smidm version 1.0 Index]