ArticleEntropy (Basel, Switzerland)2021
Socio-Economic Impact of the Covid-19 Pandemic in the U.S.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 28 citations in OpenAlex.
- Moral Injury and COVID-Related Stress Among Post-9/11 Veterans: Examining Longitudinal Associations.Stress and health : journal of the International Society for the Investigation of Stress · 2025Article
- High-resolution app data reveal sustained increases in recreational fishing effort in Europe during and after COVID-19 lockdowns.Royal Society open science · 2023Article
- Proactive vs. reactive country responses to the COVID-19 pandemic shock.PLOS global public health · 2023Article
- "Life will never be the same": a qualitative analysis of the impact of COVID-19 on adults with a history of insomnia.Sleep advances : a journal of the Sleep Research Society · 2023Article
- Expectations about the "Natural Order of Things" and Conspiracy Beliefs about COVID-19.International journal of environmental research and public health · 2022Article
- RETRACTED: An Adaptive Hierarchical Network Model for Studying the Structure of Economic NetworkEntropy (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This paper proposes a dynamic cascade model to investigate the systemic risk posed by sector-level industries within the U.S. inter-industry network. We then use this model to study the effect of the disruptions presented by Covid-19 on the U.S. economy. We construct a weighted digraph G = (V,E,W) using the industry-by-industry total requirements table for 2018, provided by the Bureau of Economic Analysis (BEA). We impose an initial shock that disrupts the production capacity of one or more industries, and we calculate the propagation of production shortages with a modified Cobb-Douglas production function. For the Covid-19 case, we model the initial shock based on the loss of labor between March and April 2020 as reported by the Bureau of Labor Statistics (BLS). The industries within the network are assigned a resilience that determines the ability of an industry to absorb input losses, such that if the rate of input loss exceeds the resilience, the industry fails, and its outputs go to zero. We observed a critical resilience, such that, below this critical value, the network experienced a catastrophic cascade resulting in total network collapse. Lastly, we model the economic recovery from June 2020 through March 2021 using BLS data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.