Patrick WH Kwok’s research while affiliated with Education University of Hong Kong and other places

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Publications (1)


PRISMA flow diagram of the article selection process.
Distribution of the four sizes of geographical area studied (The numbers shown inside/outside the pie chart are the frequency count and the percentage of the 62 articles, respectively.).
Penetration rate by the different types of variables (= number of articles that used this type of variable/62).
Numbers of the types of variables used by the 62 included articles (Numbers shown inside the pie chart are the frequency count and the percentage based on 62 articles, respectively.).
Accessibility of data and codes (Numbers shown inside the pie chart are the frequency counts and the percentages based on 62 articles, respectively.).

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COVID-19 Pandemic Risk Assessment: Systematic Review
  • Literature Review
  • Full-text available

April 2024

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118 Reads

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1 Citation

Amanda MY Chu

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Patrick WH Kwok

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Jacky NL Chan

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Background The COVID-19 pandemic presents the possibility of future large-scale infectious disease outbreaks. In response, we conducted a systematic review of COVID-19 pandemic risk assessment to provide insights into countries’ pandemic surveillance and preparedness for potential pandemic events in the post-COVID-19 era. Objective We aim to systematically identify relevant articles and synthesize pandemic risk assessment findings to facilitate government officials and public health experts in crisis planning. Methods This study followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and included over 620,000 records from the World Health Organization COVID-19 Research Database. Articles related to pandemic risk assessment were identified based on a set of inclusion and exclusion criteria. Relevant articles were characterized based on study location, variable types, data-visualization techniques, research objectives, and methodologies. Findings were presented using tables and charts. Results Sixty-two articles satisfying both the inclusion and exclusion criteria were identified. Among the articles, 32.3% focused on local areas, while another 32.3% had a global coverage. Epidemic data were the most commonly used variables (74.2% of articles), with over half of them (51.6%) employing two or more variable types. The research objectives covered various aspects of the COVID-19 pandemic, with risk exposure assessment and identification of risk factors being the most common theme (35.5%). No dominant research methodology for risk assessment emerged from these articles. Conclusion Our synthesized findings support proactive planning and development of prevention and control measures in anticipation of future public health threats.

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