OxGRT - Subnational level
Infection - Policies coevolution
We first show the timeseries of weekly infection or death cases. The strokecolor represents the rate of changes in COVID-19 policies; darker blue means more policies were implemented relatively to the previous k week(s), and the other way around for red. The goal of this first plot is to have an overview of the system.
Here's what the world look like for countrie we have subnational data, on a given day and chosen policy type (STILL NEED TO ADD OTHER COUNTRIES THAN US):
Choose among policy types
Then choose a day (you can click on date to toggle with keyboard):
Dual view (brush to see the evolution)
Currently selected:
where y2-y1 / x2-x1 is
Where Contagion can be either in terms of deaths or weekly new infections. According to GPT, comparing "2020-05-17" for Canada and France, we have:
- Canada (ratio = -7.07) is possibly acting preemptively or cautiously with stricter measures despite decreasing infections.
- France (ratio = 0.912) is showing a more proportional policy response, adjusting policies at a pace similar to the change in infections.
Interpreting the sign:
- Positive ratio, both increasing: The infection rate is rising, and policies are tightening in response.
- Positive ratio, both decreasing: The infection rate is decreasing, and policies are relaxing.
- Negative ratio, policy increasing but infection decreasing: Policies are becoming stricter despite the infection rate falling, possibly to ensure continued containment.
- Negative ratio, policy decreasing but infection increasing: Policies are relaxing while infections are rising, which may indicate a delayed or insufficient policy response
And the magnitude
- When the ratio is large, it indicates that a significant change in policy corresponds to a relatively small change in infection rate. This could imply that the policy is being adjusted aggressively, even though the infection rate is not changing much
- When the ratio is small, it suggests that the infection rate is changing rapidly compared to the policy adjustments. This could indicate that the policy response is slow or not sufficiently reactive to the infection trends.
Looking at similarity in neoliberalism capitalism
see world.culturalanalytics.com