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Weaving public health and safety nets to respond the COVID-19 pandemic.
Fan, Di; Li, Yi; Liu, Wei; Yue, Xiao-Guang; Boustras, Georgios.
  • Fan D; Department of Management & Marketing, Swinburne Business School, Faculty of Business and Law, Swinburne University of Technology, Melbourne 3123, Australia.
  • Li Y; Discipline of International Business, The University of Sydney Business School, Sydney, NSW 2006, Australia.
  • Liu W; Business School, Qingdao University, Qingdao 266110, China.
  • Yue XG; Department of Computer Science and Engineering, School of Sciences, European University Cyprus, Nicosia 1516, Cyprus.
  • Boustras G; Center of Excellence in Risk & Decision Sciences, European University Cyprus, Nicosia 2404, Cyprus.
Saf Sci ; 134: 105058, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-885441
ABSTRACT
How do governments take strategic actions in weaving public health and safety nets to respond to the COVID-19 pandemic? Embracing Moore's strategic action framework, this study investigates how municipal governments can configure authorizing environment-operational capacity-public value attributes to weave public health and safety nets, in order to prevent and control the public health and safety emergency. Leveraging fuzzy-set Qualitative Comparative Analysis (fsQCA) with a sample of 323 Chinese cities, we identify a distinctive taxonomy of four equally effective configurations of urban actions in blocking COVID-19 transmission social reassurance, proactive defence, decisive resiliency, and strengthened coercion. Overall, this study provides a novel insight of public health and safety management into battles against COVID-19 in human society.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Saf Sci Year: 2021 Document Type: Article Affiliation country: J.ssci.2020.105058

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Saf Sci Year: 2021 Document Type: Article Affiliation country: J.ssci.2020.105058