Finally had some time this morning to catch up on philosophical reading. Among the philosophers responding to COVID-19, I thought these two article were interesting..
This one is somewhat predictable--Peter Singer encouraging ending forever "wet markets" like the one that passed this disease (and others to humans). Read his arguments here.
And this article by Alex Broadbent lays out the various principles and ideas involved in a rational, cost-benefit analysis of the virus and responses to it. Most interesting are these two considerations (two of a handful he includes):
Identification of losers and winners, and weighing of their rights. Older people and those with pulmonary conditions are at greater risk of developing serious illness from COVID-19 infection. The protection of these groups must be weighed against the good of the whole. Closing schools, for example, will surely reduce rates of infection; but it may harm the children’s education, to which they arguably have an important right, for the probable benefit of their grandparents. Such trade-offs are generally considered permissible, as in taxation to pay for a public service, but not unrestrictedly so. I am not commenting on any particular measure here; school closure is merely an example and may in fact benefit children significantly. I am merely trying to structure the cost-benefit analysis by pointing out that those who suffer most from the measures may not always be those who benefit the most, and their respective rights and interests must be weighed.
• Assessment of quantity of life. Delicate though it may be, the public health response needs to take seriously the extent to which those who die are sick and elderly. This is not because their lives matter less, intrinsically. It is because they have less life left. We may imagine that if COVID-19 had not killed someone this week, they would have died of some other ailment next week, or even on the same day. Such imaginary cases are the subject of study by philosophers who think about causation, but in this case they have an evaluative import. Life is a quantity rather than a binary variable, and disease reduces its quantity, both for individuals and populations. The quantity of this reduction is less for people who are going to die sooner: the sick and elderly, in other words. If the cost of a disease to a population is the quantity of life that it takes, then this can only be measured in time, because all life is a quantity of time.
Some of us have more life left than others. Thus the cost of COVID-19 to population health is not simply a function of how many it kills, but whom. This is surely not the only factor in assessing the cost of a disease or benefit of a public health measure, but, given that life comes in a finite quantity, the quantitative effect must be taken into account in assessing the benefit offered by a public health measure against the cost of the disease.