{"id":3472,"date":"2020-04-05T23:44:32","date_gmt":"2020-04-05T23:44:32","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=3472"},"modified":"2025-01-31T04:37:50","modified_gmt":"2025-01-31T02:37:50","slug":"mobility-and-covid-19-cases-did-brazil-stop","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/04\/05\/mobility-and-covid-19-cases-did-brazil-stop\/","title":{"rendered":"Mobility and COVID-19 cases. Did Brazil stop?"},"content":{"rendered":"Reading time: <\/span> 9<\/span> minutes<\/b><\/span><\/span>\n
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Illustration du nouveau coronavirus, Covid-19 – Mars 2020 \/ \u00a9 UPI\/MaxPPP<\/figcaption><\/figure>\n\n\n\n

You have probably heard that Google has released<\/a> a set of mobility reports recently. The site hosting these reports, the so-called COVID-19 Community Mobility Reports, begins with the following sentence: “See how your community is moving differently due to COVID19”.<\/p>\n\n\n\n

What is it about?<\/h3>\n\n\n\n

Google offers a Location History feature in its services\/systems that monitors the location, and consequently the displacement, of users. This data can be accessed and disabled at any time by users. According to Google, this feature needs to be activated voluntarily, as it is disabled by default. Based on this information, they observed how and where these individuals used to go in a period prior to the COVID-19 outbreak and how and where they are moving now, during the outbreak. There is a clear bias here. People who do not have a cell phone or tablet, or who have not activated this feature, are out of their sampling and this can impact the conclusions of the report. Still, it’s worth a look.<\/p>\n\n\n\n\n\n\n\n

The reports are divided by countries and obviously Brazil caught my attention (you can access the report for Brazil by clicking here<\/a>). They do not make the data available in a format that facilitates its manipulation and analysis, unfortunately. However, Vitor Baptista<\/a> took care of this for us \ud83d\ude42 He used Python<\/a> to extract the data from these PDF reports (not only for Brazil but also some other countries) and generate a CSV (comma-separated value) file that you can download by clicking here<\/a>.<\/p>\n\n\n\n

Ready for the analysis?<\/h3>\n\n\n\t
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