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Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250931/ https://www.ncbi.nlm.nih.gov/pubmed/35815192 http://dx.doi.org/10.1016/j.annals.2022.103445 |
_version_ | 1784739920129032192 |
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author | Song, Haiyan Li, Gang Cai, Yanting |
author_facet | Song, Haiyan Li, Gang Cai, Yanting |
author_sort | Song, Haiyan |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9250931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92509312022-07-05 Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts Song, Haiyan Li, Gang Cai, Yanting Ann Tour Res Commentary Elsevier Ltd. 2022-09 2022-07-04 /pmc/articles/PMC9250931/ /pubmed/35815192 http://dx.doi.org/10.1016/j.annals.2022.103445 Text en © 2022 Elsevier Ltd. All rights reserved. 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 | Commentary Song, Haiyan Li, Gang Cai, Yanting Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title | Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title_full | Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title_fullStr | Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title_full_unstemmed | Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title_short | Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts |
title_sort | tourism forecasting competition in the time of covid-19: an assessment of ex ante forecasts |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250931/ https://www.ncbi.nlm.nih.gov/pubmed/35815192 http://dx.doi.org/10.1016/j.annals.2022.103445 |
work_keys_str_mv | AT songhaiyan tourismforecastingcompetitioninthetimeofcovid19anassessmentofexanteforecasts AT ligang tourismforecastingcompetitioninthetimeofcovid19anassessmentofexanteforecasts AT caiyanting tourismforecastingcompetitioninthetimeofcovid19anassessmentofexanteforecasts |