COVID-19 Vulnerability Mapping of Asian Countries

Area of Science:

• Public Health
• Epidemiology
• Environmental Science

Background:

• Vulnerability to pandemics is a complex issue influenced by multiple factors.
• The Intergovernmental Panel on Climate Change (IPCC) 2007 framework defines vulnerability as a function of exposure, sensitivity, and adaptive capacity.
• Understanding these factors is crucial for effective pandemic preparedness and response.

Purpose of the Study:

• To map the vulnerability of Asian countries to the COVID-19 pandemic.
• To identify key socioeconomic, environmental, and health factors influencing COVID-19 outcomes.
• To provide a framework for assessing pandemic vulnerability and informing policy interventions.

Main Methods:

• Conducted an extensive literature review to identify 16 relevant factors.
• Utilized Principal Component Analysis (PCA) to determine underlying vulnerability factors.
• Correlated estimated vulnerability with COVID-19 death rates.

Main Results:

• Urban population percentage, obesity, air connectivity, elderly population, diabetes, and PM2.5 levels significantly increased COVID-19 sensitivity.
• Governance effectiveness, Human Development Index (HDI), vaccination rates, life expectancy, and Gross Domestic Product (GDP) positively influenced adaptive capacity.
• A strong correlation (0.615) was found between vulnerability and COVID-19 deaths per million population.

Conclusions:

• The study presents a methodological framework for assessing pandemic vulnerability using universal indicators.
• Findings can inform targeted policy interventions, such as vaccine distribution priorities (e.g., COVAX).
• The framework allows for data incorporation and replication, despite limitations in spatiotemporal analysis.