Daniel Sledge

TL;DR: In this article, three regional-scale models for forecasting and assessing the course of the coronavirus disease 2019 (COVID-19) pandemic are presented. But, the authors focus on early-time data and provide an accessible framework for generating policy-relevant insights into its course.

TL;DR: Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types, however, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life.

TL;DR: Three regional-scale models for forecasting and assessing the course of the COVID-19 pandemic demonstrate the utility of parsimonious models for early-time data and provides an accessible framework for generating policy-relevant insights into its course.

TL;DR: Federal funding for expanding the capacity of local Voluntary Organizations Active in Disaster groups would help NGEs and government to coordinate response efforts and ensure that recoveries better address underlying social and economic vulnerabilities.

TL;DR: This article examined public perceptions of the importance of different levels of government and of nongovernmental entities in responding to the COVID-19 pandemic, and found that individuals are more likely to view government as extremely important to respond to the pandemic than nonstate actors.