An Examination of COVID-19 Mitigation Efficiency among 23 Countries.

COVID-19 epidemic stability mitigation efficiency stay-at-home order

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
18 Jun 2021
Historique:
received: 18 04 2021
revised: 09 06 2021
accepted: 10 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

The purpose of this paper was to compare the relative efficiency of COVID-19 transmission mitigation among 23 selected countries, including 19 countries in the G20, two heavily infected countries (Iran and Spain), and two highly populous countries (Pakistan and Nigeria). The mitigation efficiency for each country was evaluated at each stage by using data envelopment analysis (DEA) tools and changes in mitigation efficiency were analyzed across stages. Pearson correlation tests were conducted between each change to examine the impact of efficiency ranks in the previous stage on subsequent stages. An indicator was developed to judge epidemic stability and was applied to practical cases involving lifting travel restrictions and restarting the economy in some countries. The results showed that Korea and Australia performed with the highest efficiency in preventing the diffusion of COVID-19 for the whole period covering 105 days since the first confirmed case, while the USA ranked at the bottom. China, Japan, Korea, and Australia were judged to have recovered from the attack of COVID-19 due to higher epidemic stability.

Identifiants

pubmed: 34207404
pii: healthcare9060755
doi: 10.3390/healthcare9060755
pmc: PMC8235777
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ministry of Science and Technology, Taiwan
ID : MOST 108-2410-H-227-008

Références

Med J Armed Forces India. 2020 Jul;76(3):268-275
pubmed: 32773928
Epidemiol Rev. 2001;23(2):288-301
pubmed: 12192738
Bus Horiz. 2021 Mar-Apr;64(2):295-306
pubmed: 33318713
BMJ. 2021 Apr 30;373:n1124
pubmed: 33931413
BMC Public Health. 2007 Aug 15;7:208
pubmed: 17697389
Am J Infect Control. 2020 Aug;48(8):958-960
pubmed: 32461066
Health Policy. 2017 May;121(5):515-524
pubmed: 28318606
BMC Public Health. 2015 Jun 09;15:543
pubmed: 26055522
Int J Tuberc Lung Dis. 2003 Aug;7(8):751-7
pubmed: 12921151
Health Econ. 2006 Apr;15(4):419-31
pubmed: 16389631
Chaos Solitons Fractals. 2020 Sep;138:109937
pubmed: 32834573
Infect Ecol Epidemiol. 2015 Jun 24;5:27060
pubmed: 26112265
Int J Environ Res Public Health. 2020 Aug 06;17(16):
pubmed: 32781669

Auteurs

Emily Chia-Yu Su (EC)

Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei 11031, Taiwan.

Cheng-Hsing Hsiao (CH)

Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.

Yi-Tui Chen (YT)

Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.

Shih-Heng Yu (SH)

Department of Business Management, National United University, Miaoli 36003, Taiwan.

Classifications MeSH