An understanding of the COVID-19 spread is growing around the world, yet little is known of Africa. This paper explores the time–space geographies of COVID-19 infection focusing on Africa and Nigeria especially. We appraise the global-to-local situation of confirmed cases, deaths and recoveries as well as measures engaged in response to the pandemic. Findings reveal that South Africa accounts for 40% of the total confirmed cases in Africa, followed by Egypt (18%), Nigeria (6.8%), Ghana (4.6%) and Algeria (3.6). Our study shows a significant relationship between population density and COVID-19 cases in Nigeria (R 2 = 0.76; y = 2.43x − 268.7). This expression suggests that high population densities catalyze the spread of COVID-19. While Nigeria has only recorded about 25,964 cases as at the time of writing, the country is struggling to match pressures from rising cases as a result of existing disparities in health care systems.
Sea level rise and ocean surge are the major potential impacts of climate change in the rapidly growing urban Lagos in Nigeria. Coastal inundation is, however, expected to increase problems of flooding and intrusion of sea water into freshwater sources and ecosystems, thereby heightening the social conflict already prevalent in this area. This article examines the historical trend in the coastal extent of one of the most populous coastal cities in the tropics and projects the potential impact on coastline change using geographic information system (GIS) techniques coupled with scenario-based climate change predictions from three different general circulation models (GCMs). This study aims, therefore, to provide empirical reasoning for the development of sea defence policies which would help in the reduction of possible loss of life or capital asset damage by suggesting adequate and cost-effective flood warning systems as well as by discouraging inappropriate infrastructural development in areas at risk from flooding and coastal erosion.
This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles (Goldman et al., 2021, https://doi.org/10.1002/essoar.10508554.1) in the AGU section paleoclimatology and paleoceanography (P&P), and a discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (Section 2) Global collaboration, technology transfer and application, reproducibility, and data sharing and infrastructure; (Section 3) Local knowledge, global gain: improving interactions within the scientific community and with locals, indigenous communities, stakeholders, and the public; (Section 4) Field, experimental, remote sensing, and real‐time data research and application. P&P projects can better include ICON principles by directly incorporating them into research proposals. A promising way to overcome the challenges of interdisciplinarity and integration is to foster networking, which will advance our research discipline through the application of ICON.
Decadal variability in African rainfall is projected from General Circulation Models (GCMs) to continue under elevated greenhouse gas scenarios. Effects on rain intensity, spatio-temporal variability of growing seasons, flooding, drought, and land-use change impose feedbacks at regional-local scales. Yet, empirical knowledge of associated impacts on crop yield is limited; thus, we examined the imperatives for food security in Nigeria. Bivariate correlation and multiple regression suggests impending drought in the northern region where livestock farming is predominant. Relative contributions of climate independent variables in determining crop yield by backward selection procedures with stepwise approach indexed the impacts of annual climate variability by a parameter computed as annual yield minus mean annual yield divided by the standard deviation. Results show Z-distribution approximately 5 to + 5, when < 3 or > 3 indicate impacts significant at 95% confidence levels. In conclusion, we established the interwoven relationship between climatic change and food security. Abstrak Variabilitas curah hujan dekade Afrika diproyeksikan oleh Sirkulasi Umum Model (GCMS) untuk terus berada di bawah skenario gas rumah kaca yang tinggi. Efek pada intensitas hujan, variabilitas spasial-temporal musim tumbuh, banjir, kekeringan, dan perubahan penggunaan lahan memaksakan masukan pada skala regional-lokal. Namun, pengetahuan empiris dampak yang terkait pada hasil panen terbatas; dengan demikian, dilakukan penelitian untuk ketahanan pangan di Nigeria. Korelasi bivariat dan regresi ganda menunjukkan kekeringan yang akan datang di wilayah utara di
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