Suppression of the alpha, delta, and omicron variants of SARS-Cov-2 in Taiwan.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 15 09 2023
accepted: 24 02 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 18 3 2024
Statut: epublish

Résumé

Taiwan was a coronavirus disease 2019 (COVID-19) outlier, with an extraordinarily long transmission-free record: 253 days without locally transmitted infections while the rest of the world battled wave after wave of infection. The appearance of the alpha variant in May 2021, closely followed by the delta variant, disrupted this transmission-free streak. However, despite low vaccination coverage (<1%), outbreaks were well-controlled. This study analyzed the time to border closure and conducted one-sample t test to compare between Taiwan and Non-Taiwan countries prior to vaccine introduction. The study also collected case data to observe the dynamics of omicron transmission. Time-varying reproduction number,Rt, was calculated and was used to reflect infection impact at specified time points and model trends of future incidence. The study analyzed and compare the time to border closure in Taiwan and non-Taiwan countries. The mean times to any border closure from the first domestic case within each country were -21 and 5.98 days, respectively (P < .0001). The Taiwanese government invested in quick and effective contact tracing with a precise quarantine strategy in lieu of a strict lockdown. Residents followed recommendations based on self-discipline and unity. The self-discipline in action is evidenced in Google mobility reports. The central and local governments worked together to enact non-pharmaceutical interventions (NPIs), including universal masking, social distancing, limited unnecessary gatherings, systematic contact tracing, and enhanced quarantine measures. The people cooperated actively with pandemic-prevention regulations, including vaccination and preventive NPIs. This article describes four key factors underlying Taiwan's success in controlling COVID-19 transmission: quick responses; effective control measures with new technologies and rolling knowledge updates; unity and cooperation among Taiwanese government agencies, private companies and organizations, and individual citizens; and Taiwanese self-discipline.

Sections du résumé

BACKGROUND BACKGROUND
Taiwan was a coronavirus disease 2019 (COVID-19) outlier, with an extraordinarily long transmission-free record: 253 days without locally transmitted infections while the rest of the world battled wave after wave of infection. The appearance of the alpha variant in May 2021, closely followed by the delta variant, disrupted this transmission-free streak. However, despite low vaccination coverage (<1%), outbreaks were well-controlled.
METHODS METHODS
This study analyzed the time to border closure and conducted one-sample t test to compare between Taiwan and Non-Taiwan countries prior to vaccine introduction. The study also collected case data to observe the dynamics of omicron transmission. Time-varying reproduction number,Rt, was calculated and was used to reflect infection impact at specified time points and model trends of future incidence.
RESULTS RESULTS
The study analyzed and compare the time to border closure in Taiwan and non-Taiwan countries. The mean times to any border closure from the first domestic case within each country were -21 and 5.98 days, respectively (P < .0001). The Taiwanese government invested in quick and effective contact tracing with a precise quarantine strategy in lieu of a strict lockdown. Residents followed recommendations based on self-discipline and unity. The self-discipline in action is evidenced in Google mobility reports. The central and local governments worked together to enact non-pharmaceutical interventions (NPIs), including universal masking, social distancing, limited unnecessary gatherings, systematic contact tracing, and enhanced quarantine measures. The people cooperated actively with pandemic-prevention regulations, including vaccination and preventive NPIs.
CONCLUSIONS CONCLUSIONS
This article describes four key factors underlying Taiwan's success in controlling COVID-19 transmission: quick responses; effective control measures with new technologies and rolling knowledge updates; unity and cooperation among Taiwanese government agencies, private companies and organizations, and individual citizens; and Taiwanese self-discipline.

Identifiants

pubmed: 38498498
doi: 10.1371/journal.pone.0300303
pii: PONE-D-23-29703
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0300303

Informations de copyright

Copyright: © 2024 Tsou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Hsiao-Hui Tsou (HH)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Graduate Institute of Biostatistics, College of Public Health, China Medical University, Taichung, Taiwan.

Fang-Jing Lee (FJ)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Shiow-Ing Wu (SI)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Byron Fan (B)

Brown University, Providence, Rhode Island, United States of America.

Hsiao-Yu Wu (HY)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Yu-Hsuan Lin (YH)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.
Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.

Ya-Ting Hsu (YT)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Chieh Cheng (C)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Yu-Chieh Cheng (YC)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Wei-Ming Jiang (WM)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Hung-Yi Chiou (HY)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Master's Program in Applied Epidemiology, College of Public Health, Taipei Medical University, Taipei, Taiwan.

Wei J Chen (WJ)

Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.

Chao A Hsiung (CA)

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Pau-Chung Chen (PC)

National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan.
Department of Public Health, National Taiwan University College of Public Health, Taipei, Taiwan.
Department of Environmental and Occupational Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.

Huey-Kang Sytwu (HK)

National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.

Classifications MeSH