Opendatabay APP

Metropolitan Rio COVID-19 Public Health Registry

Patient Health Records & Digital Health

Tags and Keywords

Coronavirus

Brazil

Health

Metadata

Rio

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Metropolitan Rio COVID-19 Public Health Registry Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

Monitoring the spread of infectious diseases within dense urban environments is vital for public health coordination and resource allocation. These records provide a detailed account of coronavirus cases in the city of Rio de Janeiro, Brazil, documenting confirmed infections, fatalities, and essential demographic metadata. By tracking specific case details such as age, sex, and residential neighbourhood, the collection offers a clear view of how the pandemic has affected different segments of the population. It serves as a foundational resource for understanding the local epidemiological landscape and the socio-geographic distribution of the virus across the city.

Columns

  • objectid: A unique identification number assigned to each individual case record.
  • classificação_final: The final clinical classification of the case, identifying it as a confirmed instance of the virus.
  • dt_notific: The specific date on which the case was officially notified to health authorities.
  • bairro_resid__estadia: The residential neighbourhood or area where the individual was staying at the time of notification.
  • ap__residencia: A code representing the specific administrative region or health planning area of the individual's residence.
  • idade: The age of the individual at the time of the case notification.
  • sexo: The biological sex of the individual, categorised primarily as male or female.
  • faixa_etária: The specific age group into which the individual falls, facilitating generational demographic analysis.
  • hospitalizações: A boolean indicator specifying whether the individual required hospitalisation for treatment.
  • uti: A boolean indicator specifying whether the individual was admitted to an Intensive Care Unit (ICU).

Distribution

The information is delivered in a CSV file titled coronavirus_rj_case_metadata.csv, which is approximately 16.34 MB in size. The file consists of 137,000 valid records structured across 19 columns, with 10 primary metadata fields detailed for demographic analysis. Data integrity is high, with a 100% validity rate across identifiers, classifications, and gender fields. This resource is intended for monthly updates to reflect the evolving status of public health notifications in the region.

Usage

This resource is ideal for developing epidemiological models that track the transmission rates of the virus within specific urban neighbourhoods. It is well-suited for performing demographic studies to identify which age groups or regions have experienced the highest rates of hospitalisation. Additionally, health researchers can use the data to study the correlation between geographic location and healthcare outcomes, while city planners can utilise the notification dates to evaluate the effectiveness of local lockdown measures or public health interventions.

Coverage

The geographic scope is specifically limited to the city of Rio de Janeiro, Brazil, covering 164 unique neighbourhoods. Temporally, the data captures notifications from the early stages of the pandemic, with specific records spanning the year 2020. The demographic scope includes all age ranges, from infants to individuals over 100 years old, with a balanced representation of both male and female residents across the metropolitan area.

License

CC0: Public Domain

Who Can Use It

Epidemiologists can leverage these records to study the progression of the virus through varied urban densities. Public health officials may utilise the hospitalisation and ICU metrics to better manage hospital capacity and medical supplies. Furthermore, sociologists and data analysts can use the structured metadata to research the impact of the pandemic on different age cohorts and residential districts within one of South America's largest cities.

Dataset Name Suggestions

  • Rio de Janeiro Coronavirus Case Demographics and Metadata
  • Metropolitan Rio COVID-19 Public Health Registry
  • Rio de Janeiro Viral Infection and Hospitalisation Log
  • Brazil Coronavirus Demographic and Neighbourhood Dataset
  • Rio de Janeiro Epidemiological Case Notification Archive

Attributes

Listing Stats

VIEWS

3

DOWNLOADS

1

LISTED

28/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Loading...

Free

Download Dataset in ZIP Format