README

The goal of contactdata is to provide access to social contact data for 177 countries. This data comes from

Note that this package does not make any geopolitical statement and only provides the data as it has been published.<

contactdata offers an easier access to this data, makes it readily compatible with tidyverse packages, such as ggplot2, via the contact_countries() function, and provides an easy way to harmonise country nomenclature by using the countrycode package as authoritative name source.

Installation

install.packages("contactdata")

install.packages("contactdata", repos = "https://bisaloo.r-universe.dev")

Example

library(contactdata)
contact_matrix("France")
#>         00_05   05_10   10_15   15_20   20_25   25_30   30_35   35_40   40_45
#> 00_05 2.78349 1.09714 0.59766 0.42514 0.54475 0.83666 1.12491 1.01569 0.63464
#> 05_10 1.33122 6.29510 1.27272 0.46477 0.35261 0.68506 1.02618 1.13031 0.99165
#> 10_15 0.39897 2.22464 9.84713 1.05305 0.45699 0.50444 0.66377 1.01329 1.16385
#> 15_20 0.30098 0.51971 3.20301 9.61013 1.15339 0.63465 0.54228 0.81646 0.95410
#> 20_25 0.37971 0.37347 0.44479 2.04600 3.20611 1.27444 0.82373 0.68958 0.68682
#> 25_30 0.72782 0.46144 0.35097 0.79856 1.67674 2.60892 1.49240 1.13783 0.96147
#> 30_35 0.79200 0.88463 0.67619 0.47619 0.92299 1.40768 2.20929 1.48891 1.13288
#> 35_40 0.74890 1.07171 0.88910 0.75047 0.72376 1.16507 1.45639 2.36740 1.65545
#> 40_45 0.51058 0.76735 1.06267 0.90561 0.87963 1.04440 1.34928 1.54511 2.22415
#> 45_50 0.33981 0.42638 0.67853 1.08318 0.90254 0.92989 1.09819 1.26458 1.37553
#> 50_55 0.31072 0.36274 0.59937 0.83731 1.00352 1.19355 1.06834 1.05459 1.36231
#> 55_60 0.39864 0.42351 0.50890 0.54609 0.71051 1.02643 1.13779 0.92754 1.01287
#> 60_65 0.38587 0.36993 0.34816 0.37182 0.48445 0.66960 0.78982 0.84058 0.74527
#> 65_70 0.29379 0.37405 0.33048 0.29065 0.37366 0.48083 0.65580 0.67714 0.68240
#> 70_75 0.20554 0.34026 0.38589 0.45420 0.31254 0.41868 0.44131 0.65480 0.77630
#> 75_80 0.26897 0.27668 0.35823 0.32506 0.26700 0.28903 0.42676 0.45384 0.51002
#>         45_50   50_55   55_60   60_65   65_70   70_75   75_80
#> 00_05 0.50544 0.52665 0.49783 0.39153 0.33717 0.26006 0.17979
#> 05_10 0.60923 0.49424 0.44941 0.41570 0.33297 0.24289 0.17912
#> 10_15 0.83145 0.55457 0.38642 0.30138 0.29915 0.26661 0.19652
#> 15_20 1.05109 0.63727 0.39461 0.28397 0.24315 0.19886 0.15800
#> 20_25 0.97167 0.70034 0.48631 0.29828 0.22838 0.24443 0.18815
#> 25_30 0.91936 0.95941 0.62849 0.43022 0.29327 0.22153 0.16448
#> 30_35 0.95357 0.83514 0.72204 0.51731 0.34141 0.23656 0.19808
#> 35_40 1.17352 0.91423 0.64593 0.56372 0.43426 0.33740 0.20415
#> 40_45 1.46235 1.06357 0.54927 0.52157 0.41118 0.33389 0.24101
#> 45_50 1.93332 1.16615 0.68328 0.45318 0.34997 0.32903 0.25424
#> 50_55 1.58509 1.70873 1.04120 0.59368 0.35534 0.33119 0.26512
#> 55_60 0.93730 1.19991 1.48381 0.82802 0.48857 0.32124 0.23713
#> 60_65 0.67297 0.67140 0.88300 1.21412 0.69313 0.50550 0.25726
#> 65_70 0.52748 0.55506 0.65119 0.74149 1.13052 0.52794 0.27354
#> 70_75 0.69078 0.54272 0.51067 0.89222 0.93588 1.25788 0.39716
#> 75_80 0.66095 0.66008 0.47413 0.41622 0.59534 0.62970 0.44627

You can also get several countries at once with the contact_df_countries() function, as detailed in the vignette.

Because it is very likely that users of this package will also need data about the population in each age group, it is also bundled in this package for convenience. Please see ?age_df_countries for more information.