Andrew J. Stier

TL;DR: It is revealed that COVID-19 is spreading faster on average in larger cities with the additional implication that, in an uncontrolled outbreak, larger fractions of the population are expected to become infected in more populous urban areas.

TL;DR: In this paper, the authors estimate the growth rates and reproductive numbers of COVID-19 in US cities from March 14th through March 19th to reveal a power-law scaling relationship to city population size.

TL;DR: Evaluating parent symptom ratings of 9-10 year olds in the ABCD Study indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability, and the interpretation of such associations in second-orders was ambiguous due to shared variance among factors.

TL;DR: In this paper, the authors proposed a model of depression driven by an individual's accumulated experience mediated by social networks and found that larger cities provide a buffer against depression, which is consistent with other behaviors associated with denser socioeconomic networks.

TL;DR: In this article, the authors demonstrate that early in the US outbreak, COVID-19 spread faster on average in larger cities and discuss the implications of these observations, emphasizing the need for faster responses to novel infectious diseases in large cities.