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  • Master most of the anaysis for ipdv 120days weekday data
  • Overflow remainder of analysis 

There are two Excel spread sheets for the weekday filtered data (two files since the master ran out of tabs): 

  • Master most of the anaysis for ipdv 120days weekday data
  • Overflow remainder of analysis 

Alldays data

Since the weekdays data when plotted versus date left gaps that either resulted in gaps in the curves or extended the curve across a weekend thus making the peaks look much wider, it made the data harder to understand by simple visualization. Therefore, we decided to include all days.

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PingER was originally set up for monitoring connections between High Energy Physics (HEP) sites that were mainly in the US, Canada, Europe and Japan. Thus these regions tend to have hosts that are mainly research or educational. As such they often a result, for the above regions most hosts are Research and Advanced Education and have high-performance network links as opposed to public network links. Thus looking at the overall performance for a country in these regions there is little evidence of the impact of Covid-19 interventions, See, for example, the analysis for Spain and Italy, two countries that were badly impacted by Covid-19. Also see the UK.

On the other hand, almost all hosts monitored in Africa (apart from 3 in the Republic of South Africa) are on public networks and thus more likely to be impacted by changes in traffic patterns caused by Covid-19 interventions.

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. DONE

Rather than use weekdays use midweek (Tue -ThurThu) to ensure the data avoids weekends. DONE

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