Socioeconomic Drivers and Risk Factors of Covid-19 Pandemic in Nigeria

Ismail Hayatu Sanusi, Jamilu Said Babangida

Abstract


Relevance. The Covid-19 pandemic has prompted the need for a comprehensive understanding of its drivers and risk factors, particularly in the socioeconomic dimension. While previous research has primarily focused on biological vectors and mortality rates, less is known about the influence of socioeconomic factors on the spread of the virus. Understanding these factors is crucial for effective policy responses and addressing state-specific peculiarities.

Research Objectives. This paper aims to assess the socioeconomic drivers and risk factors of the Covid-19 pandemic in Nigeria. Specifically, it examines the impact of socioeconomic forces on infection and mortality rates. The study seeks to shed light on the role of geographic distance to epicenters, the business environment, and income inequality in shaping the spread and impact of the virus.

Data and Methods. The analysis employs two pooled multivariate regression models using data from 37 sub-national entities (States) in Nigeria. The first model explores the effect of socioeconomic forces on Covid-19 infection rates, while the second model examines their influence on fatality rates. The models are based on comprehensive observations and utilize state-specific data to account for variations across regions.

Results. We found that proximity to epicenters is associated with higher infection rates, while areas with weaker business environments and higher inequality are more vulnerable. Income inequality emerges as the sole significant driver of mortality, possibly due to limited access to testing, vaccination, and treatment centers among income-constrained populations.

Conclusions. The study emphasizes the importance of considering socioeconomic factors in pandemic response strategies, particularly in the context of Covid-19 in Nigeria. We reveal that geographic proximity to epicenters, business environment strength, and income inequality significantly influence infection rates. Addressing these factors, along with recognizing the impact of income inequality on mortality, can inform targeted policies and interventions for effective pandemic management. Policymakers should consider sub-national characteristics and state-specific peculiarities to tailor responses and mitigate the spread and impact of Covid-19.


Keywords


Covid-19 Pandemic, infection, mortality, Nigeria, pooled regression, risk, socioeconomic

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DOI: https://doi.org/10.15826/recon.2023.9.3.020

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