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library(conmat)

The primary goal of the conmat package is to be able to get a contact matrix for a given age population. It was initially written for work done in Australia, and so the initial focus was on cleaning and extracting data from the Australian Bureau of Statistics.

This vignette focusses on using other data sources with conmat.

We can use some other functions from socialmixr to extract similar estimates for different populations in different countries.

We could extract some data from Italy using the socialmixr R package

library(socialmixr)
#> 
#> Attaching package: 'socialmixr'
#> The following object is masked from 'package:utils':
#> 
#>     cite

italy_2005 <- wpp_age("Italy", "2005")

head(italy_2005)
#>   country lower.age.limit year population
#> 1   Italy               0 2005    2758749
#> 2   Italy               5 2005    2712790
#> 3   Italy              10 2005    2815246
#> 4   Italy              15 2005    2917476
#> 5   Italy              20 2005    3168918
#> 6   Italy              25 2005    3786584

We can then convert this data into a conmat_population object and use it in extrapolate_polymod

italy_2005_pop <- as_conmat_population(
  data = italy_2005,
  age = lower.age.limit,
  population = population
)
italy_contact <- extrapolate_polymod(
  italy_2005_pop
)

italy_contact
#> 
#> ── Setting Prediction Matrices ─────────────────────────────────────────────────
#> A list of matrices containing the model predicted contact rate between ages in
#> each setting.
#> • home: a 16x16 <matrix>
#> • work: a 16x16 <matrix>
#> • school: a 16x16 <matrix>
#> • other: a 16x16 <matrix>
#> • all: a 16x16 <matrix>
#>  Access each <matrix> with `x$name`
#>  e.g., `x$home`

Creating a next generation matrix (NGM)

TBC

Applying vaccination to an NGM

TBC