This patch release fixes the following items::
es_ES
was replaced with es-ES
in the DESCRIPTION
file.
Updated function examples that require data import and
use the cache
parameter to prevent an increase in the package's size
on CRAN.
Rename the report template Reporte Basico
to Reporte Evento
This major release introduces a variety of significant new features and addresses bugs identified in previous versions of the package. The updates are based on usability testing and the expert review process conducted with Colombia's National Institute of Health.
Set of functions to import, group, and plot the incidence calculations of a specific disease or event for Colombia, departments, or municipalities
import_pob_incidencia()
import_pob_proyecciones()
import_pob_riesgo()
calcular_incidencia()
calcular_incidencia_geo()
calcular_incidencia_sex()
plot_tabla_incidencia_geo()
plot_tabla_incidencia_sex()
Functions to generated the cases distribution, and plot of the ethnicity groups related to a specific disease or event
agrupar_per_etn()
plot_per_etn()
Functions to group, and plot the initial classification of cases
agrupar_tipo_caso()
plot_tipo_caso()
plot_tipo_caso_years()
Functions to generate the distribution of cases, and plot across multiple years
agrupar_years()
plot_years()
Functions to generate the distribution of cases by event type
agrupar_events()
plot_tabla_tipos_event()
Functions to generate and plot the distribution of cases by geographic area, including top departments or municipalities.
agrupar_area_geo()
agrupar_top_area_geo()
plot_area_geo
plot_top_area_geo
The report template Reporte Evento
now includes five new sections called:
Distribución de casos
Distribución de casos por clasificación
Distribución por área geográfica
Distribución por pertenencia étnica
Incidencia
This version includes a complete refactoring of the package, an R Markdown template called Reporte Basico
to facilitate report generation for users, bug fixes, and various improvements identified from user testing conducted with the Secretariat of Health of Bogotá, health professionals and students from the Technological University of Chocó, and expert reviews carried out by the Colombia's National Institute of Health.
The modules represent the data flow that the user must follow to generate the automated report, and the functions represent the key variables to be considered for generating a descriptive analysis that facilitates decision-making and the obtaining of key indicators defined in the protocols of events or diseases by the Colombia's National Institute of Health.
This is the initial version of the package. It contains four modules which are as follows:
import_data
: contains the functions and logic to import data from SIVIGILAchecking_data
: groups the functions that allow generating distributions of casescleaning_data
: contains the set of functions that enable data cleaningplotting_data
: contains the set of functions that allow generating distribution plots