COVID-19 Pandemic Risk Assessment: Systematic Review.

Amanda M Y Chu, Patrick W H Kwok, Jacky N L Chan, Mike K P So
Author Information
  1. Amanda M Y Chu: Department of Social Sciences and Policy Studies, The Education University of Hong Kong, Tai Po, Hong Kong. ORCID
  2. Patrick W H Kwok: Department of Social Sciences and Policy Studies, The Education University of Hong Kong, Tai Po, Hong Kong.
  3. Jacky N L Chan: Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. ORCID
  4. Mike K P So: Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. ORCID

Abstract

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.

Keywords

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Word Cloud

Created with Highcharts 10.0.0pandemicriskCOVID-19articlesassessmentresearchfuturefindingspublichealthplanningstudySystematicReviewidentifiedbasedinclusionexclusioncriteriavariabletypesobjectives323%dataBackground:presentspossibilitylarge-scaleinfectiousdiseaseoutbreaksresponseconductedsystematicreviewprovideinsightscountries'surveillancepreparednesspotentialeventspost-COVID-19eraObjective:aimsystematicallyidentifyrelevantsynthesizefacilitategovernmentofficialsexpertscrisisMethods:followedPreferredReportingItemsMeta-AnalysisPRISMAguidelinesincluded620000recordsWorldHealthOrganizationResearchDatabaseArticlesrelatedsetRelevantcharacterizedlocationdata-visualizationtechniquesmethodologiesFindingspresentedusingtableschartsResults:Sixty-twosatisfyingAmongfocusedlocalareasanotherglobalcoverageEpidemiccommonlyusedvariables742%half516%employingtwocoveredvariousaspectsexposureidentificationfactorscommontheme355%dominantmethodologyemergedConclusion:synthesizedsupportproactivedevelopmentpreventioncontrolmeasuresanticipationthreatsPandemicRiskAssessment:WHOdatabasecoronavirusvisualizationmeta-analysismanagement

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