In France, we have to follow events according to a precise classification, which is imposed by the Health Insurance at the national level. This classification can be reconstructed from the "type of place" variables and the "Facilities" block.
In order to make this monitoring possible in "SORMAS-stat" we propose to build this collective variable by applying the method described in the attached excel file.
This "community" variable will then be used for the shiny in terms of counting events by type of community, their evolution ...
Describe the solution you'd like
In France, we have to follow events according to a precise classification, which is imposed by the Health Insurance at the national level. This classification can be reconstructed from the "type of place" variables and the "Facilities" block.
In order to make this monitoring possible in "SORMAS-stat" we propose to build this collective variable by applying the method described in the attached excel file.
This "community" variable will then be used for the shiny in terms of counting events by type of community, their evolution ...
### (update 30/07/2021 - update due to missing category) VARIABLE_COLL_VF.xlsx Variable_collectivité.txt
Additional context @bernardsilenou @MostafaHazmoun @stephaneghozzi
Have a nice day !!