Simulate Aggregate Expected Deaths

Agesim_infxn_2_death(
  fatalitydata,
  infections,
  m_od = 14.26,
  s_od = 0.79,
  curr_day,
  spec,
  sens,
  demog,
  sero_delay_rate,
  simulate_seroreversion,
  sero_rev_shape = NULL,
  sero_rev_scale = NULL,
  smplfrac = 1,
  return_linelist = FALSE
)

Arguments

fatalitydata

dataframe; The strata-specific fatalities to simulate given a probability of infection and a noise effect. The column names: strata, ifr, rho, and Ne correspond to (patient) strata, infection-fatality ratio, the probability of infection (i.e. a probalistic attack rate), and a noise effect, respectively.

infections

integer vector; The infections for each day up to the current day.

m_od

double; The mean of the onset of infection to death (gamma distribution).

s_od

double; The coefficient of variation of the onset of infection to death (gamma distribution).

curr_day

numeric; Current day of epidemic (considered up to but not including this day).

spec

double; Specificity of the Seroprevalence Study

sens

double; Sensitivity of the Seroprevalence Study

demog

dataframe; Strata-specific population (demographic) counts. The columns names strata and popN correspond to (patient) strata and the number of individuals within that strata. The demography strata must match the fatalitydata strata. Only considered if simulate_seroprevalence = TRUE

sero_delay_rate

double; Rate of time from infection to seroconversion, assumed to be exponentially distributed

simulate_seroreversion

logical; Whether seroreversion (due to waning of antibodies) should be simulated or not

sero_rev_shape

double; The shape parameter of the Weibull seroreversion distribution

sero_rev_scale

double; The scale parameter of the Weibull seroreversion distribution

smplfrac

numeric; Sampling fraction for the observed seroprevalence study (assumed to be a simple random sample of all infected)

return_linelist

logical; Whether or not the linelist that was used to create the observed marginal data should be returned. N.B. the linelist can be quite large/burdensome for memory depending on population size and number of days considered.