endemic.age.dist: calculates the age distribution in an endemic setting using...
In sbfnk/dynmod: Dynamic models

calculates the age distribution in an endemic setting using the iterative method of Wallinga (2006)

1 2	endemic.age.dist(contact.matrix, q, child.mixing = NA, reporting = NA, vaccination = NA, incidence.start = 0.01, tol = 1e-05)

`contact.matrix:`	social contact matrix; this must have the age groups as column names (with a comma between limits)
`q:`	vector of probabilies of transmission per contact
`child.mixing:`	vector of first entries of contact matrix
`reporting:`	vector of reporting probabilities
`vaccination:`	proportion vaccinated (between 0 and 1) in each age group
`incidence.start:`	starting value for inidence
`tol:`	tolerance for stopping the iteration

the endemic age distribution, a list composed of: y: incidence in each age group normalised.y: proportion of cases in each age group lambda: force of infection by age group prop.immune: proportion immune in each age group prop.immune.age: proportion immune at each age

sbfnk/dynmod documentation built on May 29, 2019, 3:21 p.m.