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Using PingER data and comparing the various metrics it provides, we ascertained that the most stable and yet sensitive metric in detecting changes caused by  Covid-19 interventions was the Inter Packet Delay Variation (IPDV). The data below are for 120 days starting around January 16th and ending May 14th, 2020. For each country, there is 1 point per day. Only weekday data is shown in order to reduce the variability of the data and to focus more on the effect of interventions such as closing the workplaces, schools, universities, people working from home, or being out of work. The weekday was determined based on  on the Universal Time  Coordinated (UTC).

The data was divided up by region in order to reduce the number of countries in a single chart. This is done so as to allow separation by eyeball of the IPDV lines for the various countries in a chosen region. It also keeps the data more self-consistent in terms of time zones, devlopmentdevelopment, economy, customs etc. For each region, we show one or more charts of the daily median IPDV. The intervention data is from Wikipedia (e.g. https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Egypt).

We are looking for a significant rise or fall in IPDV possibly correlated with an intervention or growth in cases. The links below point to charts of the IPDV (x-axis in msec.) versus the date. As mentioned above we only show data for the weekdays and there is no data for 1/30/20 thru 2/2/20 (n.b. 2/1/30/20. -2/2/30 are weekends).

Results by region

Asia

E Asia

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South America

Europe

Baltics

Balkans

Eastern Europe

Northern Europe

Southern Europe

Western Europe

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