• Jun Park

Google spills the beans! - Latin America Covid-19

Updated: Apr 7, 2020

As many of you know from the endless coverage of scandals regarding our digital data, many companies capture data for research or commercial purposes, and among those data bits, Geo-location.

With many countries combating Covid-19 have realized, social-distancing and quarantine lock-downs are the best way to slow down and combat this disease, a lot of questions regarding the legal and constitutional implications of this measures. While in Asia, many countries with more draconian governance have been able to implement strict measures, deploying government assets for vigilance and the restriction of civil liberties.

In the west, we still wonder whether this measure can be instated and whether they are necessary.

Google spills the beans

As a global response to combat COVID-19, Google has generated the Community Mobility Reports which uses the anonymized aggregate data of products such as Google Maps to provide insight into the movement of people.

Here, we can see interesting numbers which can give a better vision for policy makers how the people are actually behaving in regards to the measures taken against Covid-19.

While all this data is explained to for reference purposes only by google, it gives a good insight of how our time and movement has changed with the quarantines. One should also note that the following data should also consider that not all countries have implemented the same measures, and the situation can reflect a different stage in their combat against coronavirus.

Reduction of Shopping and Entertainment

Reduction of Groceries and Pharmacies

Reduction of Parks and Beaches

Reduction of Public Transportation

Reduced Time at Place of Work

Reduced time at home

Data compilation by Bio Bio Chile

With this numbers we can tell that there has been a significant change in the behavior of the people, consumption, and the economy.

We should highlight that Spain and Bolivia are the countries which seem to have had the biggest changes in their behavior seemingly complying with the need to socially-isolate and stay home.

One question from all this data can arise for example is : If Spain has such a large reduction in work time, traveling, going to parks and beaches, why does their data not show a proportional rise in their time at home?