Unmasking COVID-19 Vulnerability in Nigeria: Mapping Risks Beyond Urban Hotspots
It addresses the problem of resource allocation for policymakers in Nigeria during pandemics, though it is incremental as it builds on existing frameworks like the CDC Social Vulnerability Index.
This study tackled the problem of assessing COVID-19 vulnerability in Nigeria by developing a composite risk score based on factors like population density and poverty, revealing that high-density urban areas like Lagos had significantly higher risk scores (e.g., 673.47 vs. national average of 28.16) and accounted for 35.4% of national cases.
The COVID-19 pandemic has presented significant challenges in Nigeria's public health systems since the first case reported on February 27, 2020. This study investigates key factors that contribute to state vulnerability, quantifying them through a composite risk score integrating population density (weight 0.2), poverty (0.4), access to healthcare (0.3), and age risk (0.1), adjusted by normalized case rates per 100,000. States were categorized into low-, medium-, and high-density areas to analyze trends and identify hotspots using geographic information system (GIS) mapping. The findings reveal that high-density urban areas, such as Lagos, accounting for 35.4% of national cases, had the highest risk scores (Lagos: 673.47 vs. national average: 28.16). These results align with global and local studies on the spatial variability of COVID-19 in Nigeria, including international frameworks such as the CDC Social Vulnerability Index. Google Trends data highlight variations in public health awareness, serving as a supplementary analysis to contextualize vulnerability. The risk score provides a prioritization tool for policymakers to allocate testing, vaccines, and healthcare resources to high-risk areas, though data gaps and rural underreporting call for further research. This framework can extend to other infectious diseases, offering lessons for future pandemics in resource-limited settings.