Results of measuring people's response to the COVID-19 pandemic

Google has just announced the results of measuring the response of people in countries to the COVID-19 pandemic with social distancing requirements through Google Maps data. For each country, Google provides data on how the arrival and retention times for locations change between the current time and the baseline, where the current time is the end of March, and the baseline. Base is the average value for the period from 3/1 to 6/2/2020.

The table below presents the data of the 5 countries with the largest number of COVID-19 cases in the world and 6 ASEAN countries with the number of COVID-19 cases from high to low (Unit: %)

The source: https://www.google.com/covid19/mobility/

Essential activities such as shopping, entertainment, commuting and working at offices of people in these countries have seriously declined. Especially, shopping and entertainment activities in countries such as Spain, Italy, and France have almost frozen (from -88% to -94%). Travel has also dropped from -40% to -88%. The US currently has the highest number of infections in the world, but the decline in mobility is not as much as in European countries. There are 3 reasons: (1) The epidemic in the US is concentrated mainly in a few states such as New York and New Zealand. York, New Jersey, Michigan, California ... there are many other states where the number of infections is not high, so people still participate in many activities; (2) The community isolation order in the US has only been applied recently because the US is afraid of affecting the economy; (3) The data is only available until the end of March, but the number of new infections / day in the US for 4 days (from April 1 to 4, 2020) has averaged more than 30,000 new infections (https://www.worldometers.info/coronavirus/country/us/).

However, Google also notes: Location accuracy and understanding of classified places vary by region, so Google does not recommend using this data to compare changes across countries. or between regions with different characteristics (e.g. rural and urban). Google will not issue reports for countries or regions without statistically significant data.

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