Look up the impact of a transmission-reducing intervention

Source: R/wrapper_to_replicate_R0_and_burden.R

The function look up the two R0 values, the number of infections, mild febrile cases and the number of hospitalized cases corresponding to a set of FOI predictions, following the application of a scaling factor representing the assumed reduction in transmission.

wrapper_to_replicate_R0_and_burden(foi_data, scaling_factor,
  FOI_to_Inf_list, FOI_to_C_list, FOI_to_HC_list, FOI_to_R0_1_list,
  FOI_to_R0_2_list, parms)

Arguments

foi_data

dataframe of processed admin unit level foi data.
scaling_factor

numeric scaling factor value (0-1)
FOI_to_Inf_list

list of FOI -> number of infections look up tables for different countries
FOI_to_C_list

list of FOI -> number of cases look up tables for different countries
FOI_to_HC_list

list of FOI -> number of hospitalized cases look up tables for different countries
FOI_to_R0_1_list

list of FOI -> R0 (assumption 1) look up tables for different countries
FOI_to_R0_2_list

list of FOI -> R0 (assumption 2) look up tables for different countries
parms

list of user-defined parameters.