Compute the states for a model \(\cal X\) in a cohort of humans / hosts as it ages, up to age \(A\) years of age
xds_solve_cohort(pars, bday = 0, A = 10, da = 10)an xds object
This method substitutes age for time: a model $$\cal X(t)$$ is solved with respect to age \(a\): $$\cal X(a),$$ where the daily EIR is computed by a trace function with four elements:
\(\bar E\) or eir, the mean daily EIR,
\(\omega(a)\) or F_age, a function of age
\(S(t)\) or F_season, a function of time of year
\(T(t)\) or F_trend, a function describing a trend
For a cohort born on day \(B\),
the function creates a mesh on age / time, where time and age
are related by the formula:
$$t = B + a$$
and the trace function is:
$$E(a, t) = \hat E \; \omega(a) \; S(t)\; T(t) $$
The output is returned as pars$outputs$cohort