Introduction
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 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, 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.
Possible Future work
Compare weekday usage with allweek usage to see if it makes a notable difference in identifying correlations between PingER and Covid-19 .
Rather than use weekdays use midweek (Tue -Thur) to ensure the data avoids weekends.
For each country select the type of target based on:
- is the connection to SLAC the connection a lightly loaded high performance link (e.g. using ESnet, Internet2, DANTE, TENET etc), ot a commercial link
- is the target host in an educational, commercial, government or unknown establishment.
Asia
E Asia
Africa
Central Africa
East Africa
North Africa
South Africa
West Africa
America
Carribean
Central America
North America
South America
Europe
Baltics
Balkans
Eastern Europe
Northern Europe
Southern Europe
Western Europe
UK and Ireland