Covid-19 in unequal societies

THE DISTRIBUTIONAL EFFECTS OF COVID-19 AND OPTIMAL MITIGATION POLICIES

This paper develops a quantitative heterogeneous agent-life cycle-epidemiological model that is used to study the aggregate and distributional consequences of COVID-19 and mitigation policies. First, a stay-at-home subsidy is preferred to a lockdown because it reduces deaths by more and output by less. Second, Pareto-improving policies can reduce deaths by nearly 45 percent without any reduction in output relative to no public mitigation. Finally, it is possible to simultaneously improve public health and economic outcomes, suggesting that debates regarding a tradeoff between economic and health objectives may be misguided. This article is protected by copyright. All rights reserved.

Comment on "COVID-19 in segmented societies" by Constantino Hevia, Manuel Macera, and Pablo Andrés Neumeyer

This comment briefly summarizes Hevia et al. (2022), who utilize a unique dataset to shed light on the inequality of the epidemiological burden for low- and high-income individuals in Bogotá. Some suggestions and ideas for future research are provided.

COVID-19 confines recreational gatherings in Seoul to familiar, less crowded, and neighboring urban areas

Recreational gatherings are sources of the spread of infectious diseases. Understanding the dynamics of recreational gatherings is essential to building effective public health policies but challenging as the interaction between people and recreational places is complex. Recreational activities are concentrated in a set of urban areas and establish a recreational hierarchy. In this hierarchy, higher-level regions attract more people than lower-level regions for recreational purposes. Here, using customers' motel booking records which are highly associated with recreational activities in Korea, we identify that recreational hierarchy, geographical distance, and attachment to a location are crucial factors of recreational gatherings in Seoul, Republic of Korea. Our analyses show that after the COVID-19 outbreak, people are more likely to visit familiar recreational places, avoid the highest level of the recreational hierarchy, and travel close distances. Interestingly, the recreational visitations were reduced not only in the highest but also in low-level regions. Urban areas at low levels of the recreational hierarchy were more severely affected by COVID-19 than urban areas at high and middle levels of the recreational hierarchy.