COVID-19 Community Mobility Reports in Cambodia

In order to help the public health officials combat COVID-19, Google had published #COVID19 Community Mobility Reports  in 130+ countries which provide insights that could help them understand the impact of response strategies, like social distancing measures, to slow the rate of transmission.

What those data created from?

The insights in these reports are created with aggregated, anonymized sets of data from users who have turned on the Location History setting. People who have Location History turned on can choose to turn it off at any time from their Google Account and can always delete Location History data directly from their Timeline.

These reports show how visits and length of stay at different places change compared to a baseline. Google calculates these changes using the same kind of aggregated and anonymized data used to show popular times for places in Google Maps. 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 reports show trends over several weeks with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the reports. 

 What data is included in the calculation depends on user settings, connectivity, and whether it meets our privacy threshold. If the privacy threshold isn’t met (when somewhere isn’t busy enough to ensure anonymity) we don’t show a change for the day. We include categories that are useful to social distancing efforts as well as access to essential services. We calculate these insights based on data from users who have opted-in to Location History for their Google Account, so the data represents a sample of our users. As with all samples, this may or may not represent the exact behavior of a wider population.

See Also: [Map] Coronavirus (COVID-19) Cases in Cambodia

The chart movement trends over time by geography, across different high-level categories of places such as:

• Retail and Recreation: Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters.
• Groceries and pharmacies: Mobility trends for places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies.
• Parks: Mobility trends for places like 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.
• Workplaces: Mobility trends for places of work.
• Residential: Mobility trends for places of residence.

The below is COVID-19 Community Mobility Reports in Cambodia:

To me, I think these insights are very useful for the government. It will add to other public health information that will help people and communities stay healthy and safe. You also can find your country's community mobility report on this official site.

We've published an early release of our #COVID19 Community Mobility Reports in 130+ countries which provide insights that could help public health officials understand the impact of response strategies such as social distancing: https://t.co/Stfk3KOmjG https://t.co/9lCkaglvRF

— Sundar Pichai (@sundarpichai) April 3, 2020

Learn more about these reports, please read on The Keyword post.