Cargando…

Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic

BACKGROUND: Hainan province is a very popular leisure tourist arriving city in China. Coronavirus disease 2019 (COVID-19) emerged in China and rapidly in early 2020, and due to its rapid worldwide spread, the World Health Organization declared COVID-19 as a global emergency. During the COVID-19 pand...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Gang, Chen, Jingyao, Chen, Zhuo, Zhu, GuanLai, Lin, Shidao, Huang, Shigao, Li, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519216/
https://www.ncbi.nlm.nih.gov/pubmed/34731140
http://dx.doi.org/10.1097/MD.0000000000027516
_version_ 1784584405439741952
author Liu, Gang
Chen, Jingyao
Chen, Zhuo
Zhu, GuanLai
Lin, Shidao
Huang, Shigao
Li, Xin
author_facet Liu, Gang
Chen, Jingyao
Chen, Zhuo
Zhu, GuanLai
Lin, Shidao
Huang, Shigao
Li, Xin
author_sort Liu, Gang
collection PubMed
description BACKGROUND: Hainan province is a very popular leisure tourist arriving city in China. Coronavirus disease 2019 (COVID-19) emerged in China and rapidly in early 2020, and due to its rapid worldwide spread, the World Health Organization declared COVID-19 as a global emergency. During the COVID-19 pandemic in Hainan province, many businesses and economies were influenced in this unexpected event, especially in tourism. METHODS: This study used 2 classical forecasting methods to predict the number of tourists on Hainan Leisure Island from September to December in the second half of 2020 and to summarize the COVID-19 fighting experience during the pandemic. In addition, the Hainan government implemented epidemic control measures to resume production and work, and promote new tourism measures to acquire superior COVID-19 protection. RESULTS: Winter's method provides a statistical model for predicting the number of visitors to Hainan under normal conditions. The trend analysis method considers the impact of the black swan event, an irregular event, and only uses the data under the influence of the event to predict according to the trend. CONCLUSION: If the impact of the black swan event (COVID-19) continues, the prediction can be made using this method. In addition, the Hainan government has undertaken timely and effective measures against COVID-19 to promote leisure tourism development.
format Online
Article
Text
id pubmed-8519216
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-85192162021-10-18 Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic Liu, Gang Chen, Jingyao Chen, Zhuo Zhu, GuanLai Lin, Shidao Huang, Shigao Li, Xin Medicine (Baltimore) 4400 BACKGROUND: Hainan province is a very popular leisure tourist arriving city in China. Coronavirus disease 2019 (COVID-19) emerged in China and rapidly in early 2020, and due to its rapid worldwide spread, the World Health Organization declared COVID-19 as a global emergency. During the COVID-19 pandemic in Hainan province, many businesses and economies were influenced in this unexpected event, especially in tourism. METHODS: This study used 2 classical forecasting methods to predict the number of tourists on Hainan Leisure Island from September to December in the second half of 2020 and to summarize the COVID-19 fighting experience during the pandemic. In addition, the Hainan government implemented epidemic control measures to resume production and work, and promote new tourism measures to acquire superior COVID-19 protection. RESULTS: Winter's method provides a statistical model for predicting the number of visitors to Hainan under normal conditions. The trend analysis method considers the impact of the black swan event, an irregular event, and only uses the data under the influence of the event to predict according to the trend. CONCLUSION: If the impact of the black swan event (COVID-19) continues, the prediction can be made using this method. In addition, the Hainan government has undertaken timely and effective measures against COVID-19 to promote leisure tourism development. Lippincott Williams & Wilkins 2021-10-15 /pmc/articles/PMC8519216/ /pubmed/34731140 http://dx.doi.org/10.1097/MD.0000000000027516 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle 4400
Liu, Gang
Chen, Jingyao
Chen, Zhuo
Zhu, GuanLai
Lin, Shidao
Huang, Shigao
Li, Xin
Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title_full Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title_fullStr Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title_full_unstemmed Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title_short Insights on defeating coronavirus disease (COVID-19) outbreak and predicting tourist arrival on the Chinese Hainan Leisure Island during the COVID-19 pandemic
title_sort insights on defeating coronavirus disease (covid-19) outbreak and predicting tourist arrival on the chinese hainan leisure island during the covid-19 pandemic
topic 4400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519216/
https://www.ncbi.nlm.nih.gov/pubmed/34731140
http://dx.doi.org/10.1097/MD.0000000000027516
work_keys_str_mv AT liugang insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT chenjingyao insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT chenzhuo insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT zhuguanlai insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT linshidao insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT huangshigao insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic
AT lixin insightsondefeatingcoronavirusdiseasecovid19outbreakandpredictingtouristarrivalonthechinesehainanleisureislandduringthecovid19pandemic