sim.doext: Provides Access to the Declarations of Death (External...

Description Usage Arguments Details Value Note Author(s) See Also Examples

View source: R/sim.doext.R

Description

sim.doext returns a data.frame with a subset of the Declarations of Death - External Causes (DOEXT) dataset

Usage

1

Arguments

years

numeric; one or more years representing the data to be read

language

character; column names in Portuguese ("pt") or English ("en"). Default is "en".

Details

The Mortality Information System (SIM) offers health managers, researchers and institutions highly relevant information for defining priorities for disease prevention and control programmes, based on death statement information collected by the State Health Departments. The national Database generated from this information is administered by the Health Surveillance Secretariat in cooperation with DATASUS.

The system works through the filling in and collection of a standard document, the Death Statement (Declaration of Death), which is entered onto the system in the states and municipalities. The data collected is of great importance for health surveillance and epidemiological analysis, as well as health and demographical statistics.

This system contains data divided in the following categories:

The sim.* functions are provided for each available subsystem, for example, sim.dofet, sim.doext and so on.

Value

a data.frame with Brazil's mortality data

Note

DATASUS is the name of the Department of Informatics of the Brazilian Unified Health System (SUS) and is resposible for publishing public healthcare data. Besides the DATASUS, the Brazilian National Agency for Supplementary Health (ANS) also uses this file format for its public data. The name DATASUS is also often used to represent the public datasets they provide.

Neither this project, nor its author, has any association with the brazilian government.

Author(s)

Daniela Petruzalek, daniela.petruzalek@gmail.com

See Also

datasus.init read.dbc

Examples

1
pr10 <- sim.doext(2010)

danicat/datasus documentation built on Feb. 8, 2020, 1:18 p.m.