http://covid19.healthdata.org/projections
paper here: http://www.healthdata.org/research-article/forecasting-covid...
http://covid19.healthdata.org/projections
paper here: http://www.healthdata.org/research-article/forecasting-covid...
The models I've seen with the peak in April have been the truly apocalyptic scenarios. Most models that incorporate social distancing push the peak out into May and beyond.
The doubling time is in many places only 3 days. From my point of view the model which is off by only a week could still be quite correct.
The model projected 437 deaths for March 28th (tolerance bands of 380 - 508).
According to [0], the deaths were actually 264.
But the model predicted around that only two days prior ( 273 deaths on March 26th).
I’d say it’s pretty accurate - off only by a couple days.
"The Institute for Health Metrics and Evaluation (IHME)" launched in 2007 "with the goal of providing an impartial, evidence-based picture of global health trends to inform the work of policymakers, researchers, and funders. Main supporters are the Bill & Melinda Gates Foundation and the state of Washington."
Edit: once I read the claim "That methodology looks extremely dodgy" or "doesn't make it right" (in the answer below) I'd expect some specific information which would support that claim. Especially when the same person writes "you" to the poster posting the link to the study of an independent institute residing at the University of Washington.
But it's just curve-fitting. And it depends on certain things, like people being smart. You get your parameters from what you observe.
If you have a better way to do it please share.
We only have the same curves if we put in the same restrictions as Wuhan, or get R down as much. Yet we still have megachurches holding services.
And politicians are using these as worst-case scenarios already, which will make them complacent about the urgent need for more ventilators, masks and PPE supplies.
But if we behave and practice social distancing and don't do stupid things, this is the estimate we have today (or a couple of days ago) of the timeline.
If I were a leader of the United States, I would challenge the population to beat these numbers.
All that said, the math is brutal and you're right about things not being immediately apparent in the statistics. There's a delay for symptoms, and then another for deaths.
Unless another country epicly fubars their response, the USA should maintain its #1 spot. All the more so if states don't encourage social distancing for another week.
More interesting to me is that we have a measure by which we can evaluate our leader's response. Deaths well north of 200K means he severely screwed up.
Of course we'll never convince his base of that should it come to pass.
And to be fair, if he keeps the number of deaths in the 100K range then he will have done a good job from the point at which he started taking action.
Everything in excess of that is a shocking mix of incompetence, hubris and malice - including refusing help to states whose governors aren't sufficiently deferential.