Thursday, March 26, 2020

Reckless Research?

Models are just that, models. I have multiple models. Many of them are financial models for start up companies. But what we then do as things start to happen is adjust the models to reflect the facts as they occur. The Imperial College of London is a model ten days ago which predicted an apocalypse. Now a short tens days later they seem to be dramatically backtracking stating:

 The modelling showed that implementing measures early on can have a dramatic impact. If all countries were to adopt this strategy at 0.2 deaths per 100,000 population per week, 95 per cent of the deaths could be averted, saving 38.7 million lives.

 In my opinion and in my experience this is grossly reckless. We really do not know enough about the propagation of this virus to make any reliable predictions. As we have been seeing in New York, Boston and Washington we have some 30,000, 500, and 550 respectively.

New York is larger but the attack rate is substantially higher. One cannot say the cities are materially different in population risks.

When we see these facts and then when we see the calamities from the London folks we then lose any and all trust that they can make any credible statements. Reckless?

BTW, we tagged this when it came out and the NY Times spread it like a call in a theater.

In a recent NEJM report the authors rationally state:

Thus, several questions are especially critical. 
First, what is the full spectrum of disease severity (which can range from asymptomatic, to symptomatic-but-mild, to severe, to requiring hospitalization, to fatal)?
Second, how transmissible is the virus?
Third, who are the infectors — how do the infected person’s age, the severity of illness, and other characteristics of a case affect the risk of transmitting the infection to others? Of vital interest is the role that asymptomatic or presymptomatic infected persons play in transmission. When and for how long is the virus present in respiratory secretions?
And fourth, what are the risk factors for severe illness or death? And how can we identify groups most likely to have poor outcomes so that we can focus prevention and treatment efforts?

Reasonable. And making projections without even these simple steps, is well, I said what my opinion is.