Shelter in Place?

The NY Times in its inimitable hubris is now telling us all to hold down. As one starts to look at data, yes unfortunately facts do count, it is part of science and engineering folks, the analysis shows that it is not population density that dominates but income. Thus forcing the poor to stay away from jobs which the will not get any pay from does little other than further drive them into despair. The middle and upper middle class wander about secure in a paycheck, like NY Times reporters one could assume, and interacting with others who have traveled and introducing the virus. The poorest NJ counties have the lowest rate per PoP whereas the most affluent the opposite.

Perhaps data and demographic analyses could become part of the epidemiological analysis. There appears to be some study alleging to improve the results by including putatively the mutation of the virus. It seems to fail to account for demographics. In addition it appears to fails to lack the Gain of Function threats discussed by the NAS five years back. The GOF effect, especially if engineered to be as such, makes for a lethal weaponized viral RNA. How then does one model that!

Overall the issue is one of having data, open data, readily available and usable by as many as possible. The more eyes and brains the better. Yet thus far it seems limited to null.

Thus rather than shouting from Olympus perhaps we should ask why New York has demographic disparity and why DC has such a low incidence?