Abstract
The socio-ecological and political properties of rural and urban landscapes have been argued to produce the differentials in rural-urban health. However, the mechanism of the COVID-19 pattern in this socio-political-ecological perspective has not been understood in Africa. The study used spatial techniques to explore the pattern of urbanization-COVID-19 nexus in Nigeria. It has been argued that three elements (demographic dynamics, infrastructure or governance) typify the socio-political-ecological landscape of urban places. They shape the spread of infectious diseases. We explored the extent to which these factors predict the COVID-19 pattern in Nigeria. The study used data from Nigeria’s Centre for Diseases Control and the National Bureau of Statistics. The results indicate that more urban states in Nigeria tend to have higher COVID-19 cases than rural states. The COVID-19 pattern is best predicted by population dynamics more than other elements. The result indicates demographic attributes are more critical to surges in COVID-19 cases in Nigeria. Places with higher populations and densities will tend to have more spread of the virus than places with lesser populations and densities. Therefore, in a future outbreak, places of high densities should be given more attention to prevent further spread.
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Availability of data and material: The data used for the research are available via the links provided in the notes.
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Authors’ contributions: The authors jointly wrote the paper.
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Conflicts of interest: The authors declare no conflict of interest.
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Artikel in diesem Heft
- Frontmatter
- Editors Note
- Editor’s Note
- Special on COVID-19 Research
- Covid-19 Response Models and Divergences Within the EU: A Health Dis-Union
- Landscape Political Ecology: Rural-Urban Pattern of COVID-19 in Nigeria
- The Relationship Between Poverty and COVID-19 Infection and Case-Fatality Rates in Germany during the First Wave of the Pandemic
- Covid-19: A Trade-off between Political Economy and Ethics
- Special on Inequality, Policy and Society
- Causes and Consequences of Income Inequality – An Overview
- Monetary Policy and the Top 10%: A Time-Series Analysis Using ARDL and ECM
- Trade Intensity, Fiscal Integration and Income Inequality in ECOWAS
- Empirical Analysis of the Effect of Fiscal Policy Shocks in China
- The Political Economy of Sectoral Credit Provisioning in India: An Empirical Analysis
- Perspectives on Gender Stereotypes: How Did Gender-Based Perceptions Put Hillary Clinton at an Electoral Disadvantage in the 2016 Election?
Artikel in diesem Heft
- Frontmatter
- Editors Note
- Editor’s Note
- Special on COVID-19 Research
- Covid-19 Response Models and Divergences Within the EU: A Health Dis-Union
- Landscape Political Ecology: Rural-Urban Pattern of COVID-19 in Nigeria
- The Relationship Between Poverty and COVID-19 Infection and Case-Fatality Rates in Germany during the First Wave of the Pandemic
- Covid-19: A Trade-off between Political Economy and Ethics
- Special on Inequality, Policy and Society
- Causes and Consequences of Income Inequality – An Overview
- Monetary Policy and the Top 10%: A Time-Series Analysis Using ARDL and ECM
- Trade Intensity, Fiscal Integration and Income Inequality in ECOWAS
- Empirical Analysis of the Effect of Fiscal Policy Shocks in China
- The Political Economy of Sectoral Credit Provisioning in India: An Empirical Analysis
- Perspectives on Gender Stereotypes: How Did Gender-Based Perceptions Put Hillary Clinton at an Electoral Disadvantage in the 2016 Election?