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Nonparametric comparison of epidemic time trends: The case of COVID-19
The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? I...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141781/ https://www.ncbi.nlm.nih.gov/pubmed/34054197 http://dx.doi.org/10.1016/j.jeconom.2021.04.010 |
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author | Khismatullina, Marina Vogt, Michael |
author_facet | Khismatullina, Marina Vogt, Michael |
author_sort | Khismatullina, Marina |
collection | PubMed |
description | The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? In this paper, we devise new inference methods that allow to detect differences in the development of the COVID-19 epidemic across countries in a statistically rigorous way. In our empirical study, we use the methods to compare the outbreak patterns of the epidemic in a number of European countries. |
format | Online Article Text |
id | pubmed-8141781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81417812021-05-24 Nonparametric comparison of epidemic time trends: The case of COVID-19 Khismatullina, Marina Vogt, Michael J Econom Article The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? In this paper, we devise new inference methods that allow to detect differences in the development of the COVID-19 epidemic across countries in a statistically rigorous way. In our empirical study, we use the methods to compare the outbreak patterns of the epidemic in a number of European countries. Published by Elsevier B.V. 2023-01 2021-05-24 /pmc/articles/PMC8141781/ /pubmed/34054197 http://dx.doi.org/10.1016/j.jeconom.2021.04.010 Text en © 2021 Published by Elsevier B.V. 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 Khismatullina, Marina Vogt, Michael Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title | Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title_full | Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title_fullStr | Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title_full_unstemmed | Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title_short | Nonparametric comparison of epidemic time trends: The case of COVID-19 |
title_sort | nonparametric comparison of epidemic time trends: the case of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141781/ https://www.ncbi.nlm.nih.gov/pubmed/34054197 http://dx.doi.org/10.1016/j.jeconom.2021.04.010 |
work_keys_str_mv | AT khismatullinamarina nonparametriccomparisonofepidemictimetrendsthecaseofcovid19 AT vogtmichael nonparametriccomparisonofepidemictimetrendsthecaseofcovid19 |