NEW: ahead of tonight’s main thread, some fresh analysis of the factors that do — and do not — appear to influence the pace of countries’ covid-19 outbreaks.
First, for the per-capita brigade:
There is only a very very weak relationship between population and covid death toll.
First, for the per-capita brigade:
There is only a very very weak relationship between population and covid death toll.
How about population density, or a similar metric: the number of major, dense, urban areas in a country?
Same result: very very weak relationship.
Same result: very very weak relationship.
But lockdown timing exhibits a much stronger relationship.
Countries that locked down earlier in their outbreaks subsequently had much lower daily death tolls than those that locked down later (accounting for when outbreaks began)
Lockdowns, and their timings, matter. Who knew?
Countries that locked down earlier in their outbreaks subsequently had much lower daily death tolls than those that locked down later (accounting for when outbreaks began)
Lockdowns, and their timings, matter. Who knew?
Notes:
• For US lockdown I’m using Mar 20 (CA, NY, CT, IL etc had locked down)
• I’ve kept same basket of countries for all charts to make sure strength of relationship isn’t affected by sample
• I’ll keep updating these as more countries cross "10 days since 50th" threshold
• For US lockdown I’m using Mar 20 (CA, NY, CT, IL etc had locked down)
• I’ve kept same basket of countries for all charts to make sure strength of relationship isn’t affected by sample
• I’ll keep updating these as more countries cross "10 days since 50th" threshold
A few pointing out poor data quality in e.g Brazil, India, China could be playing a role in weak relationships we see for population & urban centres.
I agree (got a chart coming tomorrow on how much we might trust any given country’s data) but for now this is best data we have.
I agree (got a chart coming tomorrow on how much we might trust any given country’s data) but for now this is best data we have.
