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RoxygenNote metadata and added
package-level documentation that maps the primary discovery, planning,
acquisition, validation and analysis entry points while preserving all
legacy exports.\\dontrun{} to \\donttest{}, so they remain
user-executable while staying outside routine CRAN example runs. Their
request attempts are bounded and temporary upstream failures no longer
interrupt checks that explicitly run \\donttest{}.Added four task-oriented vignettes covering TABNET access, modern OpenDataSUS surveillance, geography and epidemiological analysis, and memory-efficient processing of large microdata files.
Expanded the contemporary schema registry from analysis-critical subsets to the complete fields documented for ESAVI, e-SUS Notifica, PNI doses and the current hospital-occupancy CSV layout.
Added a separate five-minute default download timeout,
configurable through
options(datasus.download_timeout = ...), while retaining
the shorter metadata-request timeout.
Raw DBC/DBF reads now preserve the order requested in
colunas, even when the physical DBF stores those fields in
a different order. Empty files inside OpenDataSUS ZIP resources now
produce an explicit source- unavailable error.
Extended datasus_dicionario() and
datasus_padronizar() with curated, officially documented
schemas for ESAVI, e-SUS syndrome-gripal, individual PNI doses and
COVID-19 hospital occupancy.
Added datasus_validar_esquema() to report missing
analysis-critical fields, raw versus standardized columns and
incompatible target classes.
Added colunas and normalizar to
contemporary wrappers and column selection to
opendatasus_ler().
Added opendatasus_arquivos() to expand resources
that publish one or more downloadable file links inside their
descriptions.
Fixed e-SUS syndrome-gripal downloads for historical state
resources split into multiple lots, while applying n_max
globally across all parts.
Added opendatasus_processar() for bounded-memory CSV
processing with a callback, configurable chunk size, multipart support
and optional schema normalization.
esavi() for anonymous, continuously updated
vaccination-safety notifications from the e-SUS Notifica ESAVI
module.esus_sindrome_gripal() with validated year and
state selection for annual mild and moderate influenza-like illness
files.pni_doses() for individual monthly National
Immunization Program dose records, including dynamic latest-year and
latest-month discovery.ocupacao_hospitalar() for annual COVID-19
clinical and intensive care bed occupancy records.calcular_indicador() for grouped rates,
proportions, ratios and case-fatality calculations with explicit
aggregation and denominator semantics.taxa_mortalidade(),
taxa_incidencia(), letalidade() and
proporcao() as epidemiological shortcuts.juntar_populacao() for validated many-to-one
joins between event tables and population denominators, including
provenance preservation.populacao_padrao() with normalized WHO 2000–2025,
Segi and Scandinavian age-standardization weights.datasus_territorios() with an offline IBGE
hierarchy covering 5,571 current municipal records, 27 states and five
macroregions.normalizar_codigo_ibge(),
validar_codigo_ibge() and
extrair_codigo_ibge() for seven-digit IBGE and six-digit
DATASUS codes.adicionar_territorio() for validated geographic
joins and completar_territorios() for missing
territory-period combinations.datasus_proveniencia().sim() and sinasc()
interfaces backed by the declarative TABNET catalog and query
engine.abrangencia and
uf arguments.datasus_catalogo(),
datasus_opcoes() and
datasus_proveniencia().sim() or
sinasc().calcular_taxa() and exact Poisson intervals with
intervalo_taxa().semana_epidemiologica() and
calendario_epidemiologico() using the Sunday-to-Saturday
convention followed by Brazilian surveillance calendars.media_movel() with right, centered and left
alignment.padronizar_idade() for direct age
standardization, Poisson standard errors, optional confidence limits and
explicit standard-weight coverage.microdados_catalogo(),
microdados_arquivos(), microdados_baixar() and
microdados_ler() for record-level DBC files.sim_microdados(),
sinasc_microdados() and sih_microdados().datasusr,
replacing the archived read.dbc dependency.datasus_dicionario() and
datasus_padronizar() with conservative field mappings and
date conversion for common SIM, SINASC and SIH fields.sivep_gripe(), sinan_dengue() and
sinan_mpox() for current surveillance microdata.datasus_proveniencia() to retrieve provenance
from downloaded files and parsed datasets.pni_imunizacoes() for applied doses and
vaccination coverage.siscan() with 15 cervical and breast cancer exam
datasets.sisvan() for the two historical nutritional
surveillance series.financiamento_sus() for the three financial
tables linked by the DATASUS catalog.dhdat/webtabx engine
used by PNI and SISCAN, including safe parsing of Google Visualization
table definitions.populacao_residente() with six census, estimate,
projection and retroprojection datasets.sih_morbidade() with eight general and
external-causes datasets.sinan() with 46 notifiable diseases and
conditions.datasus_catalogo() to 96 datasets and added
explicit geographic scope metadata.sih_producao(), sia_producao() and
cnes() with a common API for dimensions, measures, periods
and named filters.datasus_catalogo() for offline dataset discovery
and datasus_opcoes() for live form introspection.evitb10 request endpoints.periodo argument.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.