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The pathways and conditions of effectively combating the COVID-19 pandemic in Asia

Author

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  • Khuc, Quy Van
  • Phu, Tri Vu
  • Vuong, Quan-Hoang

Abstract

The rapid outbreak of COVID-19 pandemic urges to seek advanced solutions to combat the disease and minimize its impacts on humankind and society. We employ a causal mechanism approach and develop a crisp-set Qualitative Comparative Analysis (QCA) model to study successful pathways in curbing COVID-19 among 37 Asian countries. Structural variables of GDP per capita, governance, democracy, health access and quality alongside with two government response indexes from the real-time Oxford COVID-19 Government Response Tracker are included as causal conditions in our QCA model. We identified a total of seven successful pathways, covering countries in different development stages. Regardless of income levels, we found democracy is essential in effectively controlling the pandemic. High democratic scores are characterized in five over seven pathways. Extensive testing and comprehensive contact tracing strategies have proved to be effective in containing COVID-19, especially in developed and emerging countries. Surprisingly, we found limited impacts of stringent containment measures such as gathering restricted and social distancing. We traced back to the early days of COVID-19, and by performing hierarchical agglomerative cluster analysis, we learned that restrictive containment measures in the early days helped prevent the spread of the pandemic, especially in developing countries. In the context that democracy is in decline around the world, our empirical results suggest that democracy is still essential in controlling the disease. Also, countries in under-resourced settings can still effectively combat COVID-19 with appropriate and timely containment measures.

Suggested Citation

  • Khuc, Quy Van & Phu, Tri Vu & Vuong, Quan-Hoang, 2020. "The pathways and conditions of effectively combating the COVID-19 pandemic in Asia," OSF Preprints dmkre, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:dmkre
    DOI: 10.31219/osf.io/dmkre
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