Socioeconomic Drivers and Risk Factors of Covid-19 Pandemic in Nigeria
R-Economy, ISSN: 2412-0731, Vol: 9, Issue: 3, Page: 325-337
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
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 subnational entities (States) in Nigeria. The first model explores the effect of socioeconomic forces on Covid19 infection rates, while the second model examines their influence on fatality rates. The models are based on comprehensive observations and utilize statespecific 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.
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