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- A timeline for COVID-19 can be found here. Also looking at a map of how the COVID-19 traveled the world or the HealthMap one can see how and when various regions were impacted.
- For detailed statistics see:
- For the raw data, you can get up-to-date raw data on the coronavirus from Johns Hopkins from their GitHub site: https://github.com/CSSEGISandData/COVID-19. They have daily summaries and time - series data, both available as CSV files. You just have to browse around a bit to find what you want. To get down to the level of US states and counties see https://github.com/nytimes/covid-19-data
- For scientific modeling of the COVAD-19's impacts see : The the Imperial College London reports on the Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand and Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. Projections There are also projections for US hospital resources and deaths.
Note that for Europe, US and Canada the Christmas/New Year season (end November thru 2nd week in January) may also be expected to change behaviors.
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Other milestones are the social impacts that are more likely to impact the internet traffic. These include the social interventions:
- Social distancing encouraged
- Case-based measures
- School closures
- Public events banned
- Lockdown
- Interventions removed
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- Number of days to double cases
- Basic reproduction number R0 the average number of secondary infections produced by an infectious case where everyone is susceptible.
- For R >1 each individual infected by a transmissible disease is expected to infect a number of individuals that increase exponentially. For R< each case transmit the disease to less than one individual and the disease dies out.
- Control reproductive number RC, the value of R in the presence of control measures.
- Incubation period
- Risk of importationPrpjections on: all beds needed, ICU beds needed, invasive ventilators needed.
Monitoring
The PingER monitor at SLAC, Stanford University in California currently monitors about 100 hosts in China. Using the pingtable.pl web page we selected daily aggregated data from SLAC to China for the last 365 days and looked at various metrics derived from the RTTs. Since many of the targets are Universities that may have taken lockdown measures and sent many students and staff home, we decided to look at the overall impact on SLAC to China pings. To do this we scroll down the pingtable.pl page to summary tables as shown below. 
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