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datasus
View on CRAN: Click
here
Download and install datasus package within the R console
Install from CRAN:
install.packages("datasus")
Install from Github:
library("remotes")
install_github("cran/datasus") Install by package version:
library("remotes")
install_version("datasus", "0.16.1") Attach the package and use:
library("datasus")
Maintained by
Renato Prado Siqueira
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-09
Latest Update: 2026-09-05
Description:
Retrieves public health data from the Department of Informatics ('DATASUS') of the Brazilian Unified Health System ('Sistema Unico de Saude', 'SUS') through its online tabulation service and open-data catalog. It covers the Mortality Information System ('SIM'), Live Birth Information System ('SINASC'), Hospital Information System of the Unified Health System ('SIH/SUS'), Outpatient Information System of the Unified Health System ('SIA/SUS'), National Register of Health Establishments ('CNES'), Notifiable Diseases Information System ('SINAN'), National Immunization Program ('PNI'), Cancer Information System ('SISCAN'), and Food and Nutrition Surveillance System ('SISVAN'). Contemporary sources from the 'OpenDataSUS' portal include Events Supposedly Attributable to Vaccination or Immunization ('ESAVI'), influenza-like illness notifications from 'e-SUS Notifica', individual vaccination doses, coronavirus disease 2019 (COVID-19) hospital occupancy, and record-level mortality, live-birth and hospital-admission microdata. Curated schemas, selective columns, multipart downloads and chunk processing support memory-efficient analysis of large files. The package also provides grouped epidemiological indicators, confidence intervals, population-denominator joins, epidemiological calendars, moving averages and direct age standardization. An offline reference from the Brazilian Institute of Geography and Statistics (IBGE) supports territorial codes, joins and completion of geographic time series.
How to cite:
Renato Prado Siqueira (2026). datasus: An Interface to Brazilian Public Health Data. R package version 0.16.1, https://cran.r-project.org/web/packages/datasus. Accessed 25 Oct. 2026.
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