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Rethinking Lockdown Policies in the Pre-Vaccine Era of Covid-19

A Configurational Perspective

Bibliographic Data

ID15500489
AuthorsZiang Zhang (0000-0002-4128-1131, Nanjing Normal University), Chao Liu (0000-0001-9257-4519, Macau University of Science and Technology, corresponding author), Robin Nunkoo (0000-0002-3583-9717, Griffith University), Vivek A Sunnassee (University of Westminster), Xiaohong Chen (0000-0003-0809-5297, Jiangsu University of Technology), Xiaoyan Chen (0009-0001-2179-4968, Jiangsu University of Technology)
Year2022
Volume19
Issue12
Pages7142-7142
Publication date2022-06-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19127142
PMID35742409
OpenAlexW4281980582
LanguageEN
Citations received2
References cited65

The significance of lockdown policies for controlling the COVID-19 pandemic is widely recognized. However, most studies have focused on individual lockdown measures. The effectiveness of lockdown policy combinations has not been examined from a configurational perspective. This research applies fuzzy-set qualitative comparative analysis (fsQCA) to examine different lockdown policy combinations associated with high-epidemic situations in 84 countries. A high-epidemic situation can occur through three different "weak-confined" patterns of lockdown policy combinations. The findings demonstrate that a combination of lockdown policies is more successful than any single lockdown policy, whereas the absence of several key measures in policy combinations can lead to a high-epidemic situation. The importance of international travel controls can become obscured when they are the only measures adopted, and a high-epidemic situation can still arise where restrictions are placed on international travel but not on public transport or when workplaces are closed but schools remain open

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Outbreak · Perspective (graphical · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Vaccine Coverage and Hesitancy · Artificial Intelligence · Virology

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Unique citing works2
Citations per year0,67
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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