The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
age_df_countries() now pads single-digit ages with a
leading 0 to ensure correct ordering. The new behaviour also produces
age bin labels that are consistent with the labels for the contact
matrices
Before:
    country   age population
945  France 70_74    3611581
946  France 65_69    3915473
947  France 60_64    4123982
948  France   5_9    4179215
949  France 55_59    4344144
950  France 50_54    4445007
951  France 45_49    4490632
952  France 40_44    3991502
953  France 35_39    4097635
954  France 30_34    4036630
955  France 25_29    3920126
956  France 20_24    3959154
957  France 15_19    4100855
958  France 10_14    4201067
959  France   0_4    4070454
960  France   75+    6352464After:
    country   age population
945  France 00_04    4070454
946  France 05_09    4179215
947  France 10_14    4201067
948  France 15_19    4100855
949  France 20_24    3959154
950  France 25_29    3920126
951  France 30_34    4036630
952  France 35_39    4097635
953  France 40_44    3991502
954  France 45_49    4490632
955  France 50_54    4445007
956  France 55_59    4344144
957  France 60_64    4123982
958  France 65_69    3915473
959  France 70_74    3611581
960  France   75+    6352464The updated data from Prem et al. (2021) has been added (#4). This results in a large number of cascading changes, including some breaking changes, detailed below.
contact_df_countries() have been removed
and replaced by ... to increase flexibility. This is only
an interface change and does not modify the behaviour since all
arguments were already forwarded to contact_matrix().list_countries() and contact_matrix() now
have two additional arguments:
geographic_setting, which specifies if you’d like to
get the contact data from a "rural", "urban"
setting, or from "all" settings.data_source, which indicates if the data should be
extracted from Prem et al. (2017) or Prem et al. (2021)age_df_countries() to get
population by age for all the countries for which we provide contact
data. This is motivated by the fact that models using contact data by
age will almost surely need population data by age as well.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.