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Identifying key indicators of job loss trends during COVID-19 and beyond
COVID-19, declared by the World Health Organization as a Public Health Emergency of International Concern, has claimed over 2.7 million lives worldwide. In the absence of vaccinations, social distancing and lockdowns emerged as the means to curb infection spread, with the downside of bringing the wo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112322/ https://www.ncbi.nlm.nih.gov/pubmed/33997770 http://dx.doi.org/10.1016/j.ssaho.2021.100163 |
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author | Roy, Satyaki Dutta, Ronojoy Ghosh, Preetam |
author_facet | Roy, Satyaki Dutta, Ronojoy Ghosh, Preetam |
author_sort | Roy, Satyaki |
collection | PubMed |
description | COVID-19, declared by the World Health Organization as a Public Health Emergency of International Concern, has claimed over 2.7 million lives worldwide. In the absence of vaccinations, social distancing and lockdowns emerged as the means to curb infection spread, with the downside of bringing the world economy to a standstill. In this work, we explore the epidemiological, socioeconomic and demographic factors affecting the unemployment rates of United States that may contribute towards policymaking to contain contagion and mortality while balancing the economy in the future. We identify the ethnic groups and job sectors that are affected by the pandemic and demonstrate that Gross Domestic Product (GDP), race, age group, lockdown severity and infected count are the key indicators of post-COVID job loss trends. |
format | Online Article Text |
id | pubmed-8112322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81123222021-05-11 Identifying key indicators of job loss trends during COVID-19 and beyond Roy, Satyaki Dutta, Ronojoy Ghosh, Preetam Soc Sci Humanit Open Article COVID-19, declared by the World Health Organization as a Public Health Emergency of International Concern, has claimed over 2.7 million lives worldwide. In the absence of vaccinations, social distancing and lockdowns emerged as the means to curb infection spread, with the downside of bringing the world economy to a standstill. In this work, we explore the epidemiological, socioeconomic and demographic factors affecting the unemployment rates of United States that may contribute towards policymaking to contain contagion and mortality while balancing the economy in the future. We identify the ethnic groups and job sectors that are affected by the pandemic and demonstrate that Gross Domestic Product (GDP), race, age group, lockdown severity and infected count are the key indicators of post-COVID job loss trends. Published by Elsevier Ltd. 2021 2021-05-11 /pmc/articles/PMC8112322/ /pubmed/33997770 http://dx.doi.org/10.1016/j.ssaho.2021.100163 Text en © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Roy, Satyaki Dutta, Ronojoy Ghosh, Preetam Identifying key indicators of job loss trends during COVID-19 and beyond |
title | Identifying key indicators of job loss trends during COVID-19 and beyond |
title_full | Identifying key indicators of job loss trends during COVID-19 and beyond |
title_fullStr | Identifying key indicators of job loss trends during COVID-19 and beyond |
title_full_unstemmed | Identifying key indicators of job loss trends during COVID-19 and beyond |
title_short | Identifying key indicators of job loss trends during COVID-19 and beyond |
title_sort | identifying key indicators of job loss trends during covid-19 and beyond |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112322/ https://www.ncbi.nlm.nih.gov/pubmed/33997770 http://dx.doi.org/10.1016/j.ssaho.2021.100163 |
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