ABSTRACT
Food supply shocks are increasing worldwide1,2, particularly the type of shock wherein food production or distribution loss in one location propagates through the food supply chain to other locations3,4. Analogous to biodiversity buffering ecosystems against external shocks5,6, ecological theory suggests that food supply chain diversity is crucial for managing the risk of food shock to human populations7,8. Here we show that boosting a city's food supply chain diversity increases the resistance of a city to food shocks of mild to moderate severity by up to 15 per cent. We develop an intensity-duration-frequency model linking food shock risk to supply chain diversity. The empirical-statistical model is based on annual food inflow observations from all metropolitan areas in the USA during the years 2012 to 2015, years when most of the country experienced moderate to severe droughts. The model explains a city's resistance to food shocks of a given frequency, intensity and duration as a monotonically declining function of the city's food inflow supply chain's Shannon diversity. This model is simple, operationally useful and addresses any kind of hazard. Using this method, cities can improve their resistance to food supply shocks with policies that increase the food supply chain's diversity.
Subject(s)
Food Supply/methods , Food/statistics & numerical data , Risk Management , Cities/statistics & numerical data , Humans , Models, Statistical , Probability , Reproducibility of Results , United StatesABSTRACT
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a novel pandemic virus. Mounting evidence supports the possibility of vertical transmission, which at the present time appears to be rare. We report a newborn with vertically acquired SARS-CoV-2 who developed acute respiratory failure and received remdesivir and coronavirus disease 2019 convalescent plasma.