Posts Tagged ‘modeling’

Is the Coronavirus as Deadly as They Say? – WSJ

April 5, 2020

Interesting analysis, illustrating selection bias

QT:{{”
On or around Jan. 31, countries sent planes to evacuate citizens from Wuhan, China. When those planes landed, the passengers were tested for Covid-19 and quarantined. After 14 days, the percentage who tested positive was 0.9%. If this was the prevalence in the greater Wuhan area on Jan. 31, then, with a population of about 20 million, greater Wuhan had 178,000 infections, about 30-fold more than the number of reported cases. The fatality rate, then, would be at least 10-fold lower than estimates based on reported cases.

The best (albeit very weak) evidence in the U.S. comes from the National Basketball Association. Between March 11 and 19, a
substantial number of NBA players and teams received testing. By March 19, 10 out of 450 rostered players were positive. Since not everyone was tested, that represents a lower bound on the prevalence of 2.2%. T… But if we extend that lower-bound assumption to cities with NBA teams (population 45 million), we get at least 990,000 infections in the U.S. …These numbers imply a fatality rate from Covid-19 orders of magnitude smaller than it appears.
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https://www.wsj.com/articles/is-the-coronavirus-as-deadly-as-they-say-11585088464

A Whole-Cell Computational Model Predicts Phenotype from Genotype

July 21, 2012

from JC :

http://www.cell.com/abstract/S0092-8674(12)00776-3
Jonathan R. Karr, Jayodita C. Sanghvi, Derek N. Macklin, Miriam V. Gutschow, Jared M. Jacobs, Benjamin Bolival, Nacyra Assad-Garcia, John I. Glass, Markus W. Covert
Cell – 20 July 2012 (Vol. 150, Issue 2, pp. 389-401)