Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
This dataset measures the mobility trend in different dimensions (location categories) for Brazil, Federation Units and Municipalities. It is based on Google"s Mobility Report. Location categories are: * supermarkets and pharmacies * parks * public transport stations * retail and leisure places * working places * dwelling For aggregation purposes, daily measurements were transformed into weekly averages (by epidemiological week).
This dataset was used as part project - Evaluating Effects of Social Inequalities on the COVID-19 Pandemic in Brazil. Maria Yury Ichihara and colleagues at the Centre for Data and Knowledge Integration for Health (Cidacs) at Fiocruz in Brazil created a social disparities index to measure inequalities relevant to the COVID-19 pandemic, such as unequal access to healthcare, to identify regions that are more vulnerable to infection and to better focus prevention efforts.
In Brazil, markers of inequality are associated with COVID-19 morbidity and mortality. They developed the index with available COVID-19 surveillance data, hosted on the Cidacs platform, and built a public data visualisation dashboard to share the index and patterns of COVID-19 incidence and mortality with the broader community. This enabled health managers and policymakers to monitor the pandemic situation in the most vulnerable populations and target social and health interventions.
Find this dataset through Google - https://www.google.com/covid19/mobility/
Coverage
Spatial:
Brazil
Provenance
Origin
Sources:
Other
Temporal
Accrual Periodicity:
Static
Start Date:
01 January 2023
End Date:
31 December 2020
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Delivery Lead Time:
Not applicable
Jurisdictions:
BR
Data Controller:
Google
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Languages:
en
Formats:
text
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
1
Count
01 January 2023