Data source: Google (https://www.google.com/covid19/mobility/index.html)
Variation of mobility
Residential
Workplace
Grocery & Pharmacy
Transit Stations
Retail & Recreation
Parks
About this data
Changes for each day are compared to a baseline value for that day of the week:
The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.
Place Categories
Grocery & pharmacy
'Mobility trends for places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies.'
Parks
'Mobility trends for places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens.'
Transit stations
'Mobility trends for places like public transport hubs such as subway, bus, and train stations.'
Retail & recreation
'Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters.'
Residential
'Mobility trends for places of residence.'
Workplaces
'Mobility trends for places of work.'
Source/more information: https://www.google.com/covid19/mobility/data_documentation.html?hl=en
Data source: Google (https://www.google.com/covid19/mobility/index.html)
Correlation between weekly mobility and new cases
Adjust offset days on the sidebar to see how that affects the correlations
Correlation method
Pearson
Reading the Correlogram with Significance Test
Each ellipse represents the cloud of points for the association between the variables names at the end of each row/column.
Positive correlations are displayed in blue and negative correlations in red.
Color intensity is proportional to the correlation coefficients.
X identifies correlations with no statistical significance at the 0.05 level (p-value > 0.05).
Correlation Strength (r squared)
Press Play
Or manually adjust offset days with the slider to see how that affects the correlations
Offset days - The consequences of new cases due to variations in mobility may be not be reflected reflected on the same week,
but a week later, when the new cases are identified. How many weeks behind shall we look for correlation? This is the value 'offset weeks'.
The slider on the left allows you to explore which number of offset days provides the highest and more meaningful correlations.
Note that mobility from the residence is inversely correlated to the growth of contamination, while mobility from public places is directly related to the propagation rate.
As data is updted on a daily basis, the correlogram above will automatically update.
Work in Progress
We are continually developing the analysis in response to the data.
We welcome feedback.
Notes
Unfortunately there is not enough mobility data for an analysis per region.
Source/more information: https://www.google.com/covid19/mobility/data_documentation.html?hl=en
