| 1 |
Author(s):
Nonye Benedeth Ezeaka (Ph.D.), Chiamaka Chinazom Ochuba, Chinenye Evelyn Bartholomew (Ph.D.).
Page No : 1-11
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Addressing Healthcare Inequalities in Nigeria: A Communication Perspective on Advocacy and Policy Implications.
Abstract
With notable differences in healthcare outcomes and access among various regions and demographic groups, healthcare inequalities in Nigeria pose a serious threat to public health. Numerous factors, such as gender, education, region, and socioeconomic level, all have an impact on these disparities. The health disparity between urban and rural populations is exacerbated in rural regions by poor healthcare facilities, a lack of medical personnel, and restricted access to basic health services. Furthermore, specific barriers prevent vulnerable populations including women, children, and the elderly from receiving high-quality healthcare. Healthcare inequalities in Nigeria are deeply rooted in socio-economic, geographic, and cultural factors, significantly impeding access to quality health services for marginalized populations. This paper explores the critical role of communication in advocating for equitable healthcare policies and recommendations to bridge existing disparities. Effective communication strategies employed by grassroots organizations, health advocates, and policymakers are identified to raise awareness and mobilize support for healthcare reform. The importance of culturally sensitive messaging, inclusive dialogue, and community engagement is emphasized to foster trust and collaboration, among stakeholders. Additionally, leveraging digital platforms and social media to amplify the voices of the underserved is discussed as a means to influence policy change. A strategic communication approach is essential for addressing healthcare inequalities in Nigeria, advocating for evidence-based policies, and promoting sustainable healthcare practices that ensure no individual is left behind. This study aims to inform and inspire ongoing advocacy efforts, urging stakeholders to consider communication as a vital tool in the fight for health equity.
| 2 |
Author(s):
Anya Adebayo Anya.
Page No : 12-20
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Harnessing Robotics for Sustainable Waste Management: Insights from the UK And African Cities.
Abstract
Waste management remains one of the most pressing global challenges, exacerbated by rapid urbanization, population growth, and limited infrastructure, particularly in developing regions such as Africa. This paper explores the role of robotics and artificial intelligence (AI) in advancing sustainable waste management, drawing comparative insights from the United Kingdom (UK) and African cities. It examines how robotics technologies are transforming waste management systems, with particular focus on waste sorting, collection optimization, and recycling efforts. In the UK, robotics applications have contributed to nuclear waste management and construction and demolition waste sorting, demonstrating the potential of automation in waste reduction. In African cities, emerging trends such as AI-powered mobile apps and smart bins offer scalable solutions tailored to the region’s unique challenges, including rapid urbanization and resource constraints.
Through a review of policies, technological innovations, and challenges in both contexts, this paper identifies strategies for integrating robotics into waste management. It underscores the importance of collaboration between governments, technology companies, and communities, and highlights capacity-building initiatives that can help African cities effectively adopt robotic technologies. The study offers recommendations for African cities, advocating for scalable, cost-effective solutions and emphasizing the need for public awareness and local expertise. Ultimately, this paper demonstrates how leveraging robotics can contribute to more sustainable waste management practices, improving environmental health and supporting sustainable urban development across diverse global contexts.
| 3 |
Author(s):
Anya Adebayo Anya.
Page No : 21-29
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Harnessing Renewable Energy with Machine Learning: A Comparative Study of Renewable Energy Approaches in the USA and Sub-Saharan Africa.
Abstract
The integration of machine learning (ML) in renewable energy systems has emerged as a pivotal strategy for enhancing energy efficiency, forecasting energy demand, and improving the stability of power grids. This study presents a comparative analysis of the adoption and application of ML in renewable energy between the United States and Sub-Saharan Africa (SSA). The United States has made significant advancements in utilizing ML technologies, leveraging them for optimizing grid operations, energy consumption forecasting, and waste management. Conversely, Sub-Saharan Africa, despite its vast renewable energy potential, faces substantial barriers such as inadequate infrastructure, limited data availability, and insufficient technological capacity, hindering the widespread application of ML in renewable energy.
Through a critical review of existing literature, this study identifies the technological, economic, and policy-related challenges that both regions face in integrating ML into renewable energy systems. While the United States benefits from a strong technological infrastructure and investment in research and development, SSA is still in the early stages of adopting ML, with considerable room for growth. The findings suggest that while the USA has been successful in applying ML to improve energy efficiency and integrate renewable resources, Sub-Saharan Africa’s adoption of ML is limited by structural constraints, a lack of skilled personnel, and financial challenges.
This paper offers policy recommendations for Sub-Saharan African countries to foster greater integration of ML in renewable energy, including improving data infrastructure, investing in educational and technological capacity, and enhancing cross-border collaborations. Additionally, the United States can play a key role in supporting African nations through technology transfer, joint research ventures, and strategic investments to overcome the barriers to ML adoption in the renewable energy sector.
In conclusion, the integration of ML with renewable energy systems presents a transformative opportunity for both regions. Addressing the technological and infrastructural challenges in Sub-Saharan Africa, while leveraging the advancements in the United States, will be crucial for achieving sustainable and efficient global energy systems. This study underscores the importance of international cooperation and tailored policy frameworks in advancing ML applications for renewable energy in both developed and developing regions.
| 4 |
Author(s):
Md. Anamul Hoque, Jannatul Ferdouse.
Page No : 30-39
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Perception of Child Marriage of Secondary School Girls in Bangladesh.
Abstract
Child marriage is a worldwide priority issue as ending child marriage by 2023 is a target embedded in the Sustainability Development Goal (SDG). The child marriage practice is going on around the world. Based on the latest data 21 % of young women were married as children. in Bangladesh, 38% of adolescent girls are married before the age of 15, and 51% of young women are married before their 18th birthday. Since research on this particular issue is very scanty, this study aims to explain the perception of Secondary School girls about child marriage and provide practice-based recommendations for strengthening the community especially girls to prevent it.
According to the law of Bangladesh, the minimum age of marriage for girls is 18 years and for boys is 21 years. Any marriage before these ages can be treated as child marriage. In practice, child marriage is happening in Bangladesh, particularly in urban slums and rural areas. The studies show poverty and ignorance of the parents/ guardians about the consequence of child marriage, less access to sexual & reproductive health services, and prevailing social norms of marriage are the main reasons for child marriage.
| 5 |
Author(s):
Augustine Uche Igwe, Kenneth Uchenna Ogbodo.
Page No : 40-51
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Interrogating Economic Re-Birth and Economic Integration of the Southeast States of Nigeria: Problems and Prospects.
Abstract
What is now known as Southeast region of Nigeria emerged as an outcome of the National Constitutional Conference convened by the late Nigeria Military leader, General Sani Abacha’s administration, and held from June 1994 to June 1995. Southeast region is currently home to five core-Igbo-speaking states of Abia, Anambra, Ebonyi, Enugu, and Imo. These five states were major parts of the old Eastern Region of Nigeria, which witnessed sustained growth in diverse sectors of its economy before the outbreak of the Nigerian Civil War in 1967. Specifically, from the mid- 1950s, small, medium and large scale industries had sprouted up in many parts of the region, particularly in the major towns of Aba, Enugu, Umuahia and Onitsha (mostly inhabited by the Igbo).The Golden Guinea Breweries located in Aba, the Cement Company located at Nkalagu, near Enugu; and many other enterprises (mainly private sector-driven) had commenced manufacturing of goods, as trade and services flourished; but the outbreak of the Nigerian Civil war in July 1967 aborted the visible economic growth in Igboland. However, although the Igbo (who lost the war) were “reintegrated into Nigeria” when the war ended in January 1970, they have found it very difficult till date to recreate their glorious economic past. Since 1970, most Igbo- owned industries, investments and firms are located in areas outside Igboland; which has impacted negatively on the economic growth of the region. It is against this background that this paper interrogates the question of economic rebirth and economic integration of the southeast region of Nigeria. Adopting the eclectic research method, it highlights the problems inhibiting the trend, examines the prospects, and proffers solutions, which, if implemented could lead to the economic resurgence and integration of states in Southeast region of Nigeria bey the year, 2030.
| 6 |
Author(s):
Obiora Adanma Vivian, Adikuru Chinonso Chinaemerem, Okara Chibugo Judith.
Page No : 52-61
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Kaduna Residents’ Perception and Attitude towards Feminist Posts on Social Media.
Abstract
Social media plays a crucial role in influencing the public conversation surrounding feminism. This research is focused on analyzing Kaduna residents’ views and attitudes toward feminist posts on social media. Anchored on Online Inhibition theory, the study adopted survey research design to elicit data from 312 residents of Kaduna city using Google Form as a questionnaire tool. Findings revealed that majority of Kaduna residents see feminist posts on social media and the platform with most feminist posts is X. However, results showed that Kaduna residents see feminist posts as not aligning with their cultural and religious philosophies and hence, majority has pessimistic attitude towards feminist posts on social media. Researchers recommend adequate education that can bring out mindset change to understand the real objectives of feminism.
| 7 |
Author(s):
Barthlomew Chinenye Evelyn, Obiora Adanma Vivian, Adikuru Chinonso Chinaemerem, Nnaemeka, Ozioma Perpetua.
Page No : 62-73
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Perception of Postgraduate Students on Influence of Nollywood Films in Sustaining Social Stability in Nigeria.
Abstract
Communication scholars have argued in favour of Nollywood as an industry that has produced films that serve as cultural repository, preserving and disseminating Nigerian heritage to both local and international audiences by showcasing the inherent diverse cultures. Social stability in any given society is no doubt a big step for national development and the media has roles to play in forestalling it. Hence, this study sets out to examine the perception of postgraduate students drawn from Anambra State, Nigeria, on Nollywood films’ influence in addressing societal issues and whether they foster social stability in Nigeria. Hinged on cultivation theory, this study adopted survey research design to elicit data from 271 postgraduate students that were randomly selected. With the use of online questionnaire (Google Form) as instrument for data collection, findings reveal that postgraduate students view Nollywood films as enabling tools that reflect and shape societal values, still fostering public discourse, and serving as a catalyst for social change which are elements to promote social stability. However, the study indicates need for more impactful plots and hence recommends that there should be inculcation of better inspiring and motivating contents in Nollywood productions to raise more awareness about societal issues.
| 8 |
Author(s):
Echeta C. A., Aronu C. O..
Page No : 74-89
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Modelling the Influence of Inflation on Foreign Travel Dynamics: A Comparative Analysis of Linear and Machine Learning Models.
Abstract
This study investigates the impact of inflation on foreign travel dynamics in Nigeria, focusing on the Headline Inflation Rate (HIR), Core Inflation Rate (CIR), and Food Inflation Rate (FIR) as predictors of the number of passengers travelling abroad (PPF) and the percentage of aircraft travelling internationally (PAF). Secondary data was employed in this study. The Central Bank of Nigeria Statistical Bulletin 2021 and the Federal Airport Authority of Nigeria (FAAN) records from 2015–2020 were the sources of secondary data. Correlation analysis, the linear regression model, the random forest regression model, and the gradient boosting regression model are among the statistical tools used. Correlation analysis revealed significant relationships among variables, with a strong positive correlation between PPF and PAF (0.95384) and between CIR and FIR (0.75894). In contrast, HIR exhibited weak negative correlations with PPF (-0.3024) and PAF (-0.24953). Linear regression models indicated statistical significance (F-statistic = 4.102, p = 0.0106), with HIR and FIR negatively impacting PPF (p = 0.0048, p = 0.0146, respectively) and CIR positively influencing it (p = 0.0419). However, these models explained only 18% of the variability in outcomes (adjusted R² = 0.1362). Machine learning models, particularly Random Forest, demonstrated superior predictive performance, explaining 51.24% and 55.23% of the variance in PPF and PAF, respectively, with the lowest RMSE values. Gradient Boosting also outperformed linear regression. HIR was the most influential predictor for PPF, while FIR dominated for PAF. These findings highlight the nuanced effects of inflation on travel dynamics and underscore the advantages of machine learning in policy modelling. Future research should explore additional factors, such as exchange rates and consumer confidence, to enhance understanding.
| 9 |
Author(s):
Shamiso Zirabada, Nobuhle Moyo.
Page No : 90-107
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Multiple Jeopardy: The Intersection of Disability, Gender, Violence and Covid-19 in Rural Mutoko, Zimbabwe.
Abstract
The study explored the intersectionality of disability, gender, violence, and COVID-19 in rural Mutoko. A qualitative research method using the interpretivist philosophy was employed. Qualitative research method was selected because of its relevance in bringing out explicitly the lived experiences of Women with Disabilities (WwDs). Focus Group Discussion (FGDs) and key informant interviews were used for data collection. The research participants were purposively sampled while data was analyzed using thematic analysis. The results showed increased cases of Sexual and Gender Based Violence (SGBV) among WwDs in the home setting in rural Mutoko during COVID-19 lockdown. This was partly because of stressors associated with the pandemic coupled with household arrangements in Zimbabwe. Additionally, essential SGBV services were not readily available due to the lockdown induced measures. It is recommended that SGBV programs should have a budget that is specific to SGBV in any situation and avoid being overtaken by emerging events.
| 10 |
Author(s):
Anya Adebayo Anya, Kelechi Adura Anya, Eke Kehinde Anya, Akinwale Victor Ishola.
Page No : 108-115
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Bridging Climate Finance Gaps: Blockchain as a Tool for Sustainability in Africa and Beyond.
Abstract
Climate finance is pivotal in addressing the adverse effects of climate change, particularly in supporting mitigation and adaptation initiatives in vulnerable regions. Despite its importance, significant gaps persist in Africa, where access to climate finance is constrained by governance challenges, inadequate infrastructure, and capacity deficits. These barriers impede the continent’s ability to respond effectively to climate change and achieve sustainable development goals. This study explored the potential of blockchain technology as a transformative tool for bridging climate finance gaps in Africa and beyond. The study's objectives include examining the challenges associated with climate finance in Africa, evaluating blockchain's capabilities in enhancing transparency, efficiency, and trust in financial systems, and also proposing strategies for integrating blockchain into existing frameworks. A qualitative research methodology was employed, relying on a desk review of existing literature. The findings unveil that blockchain technology offers significant potential to address climate finance gaps by reducing transaction costs, improving accountability, and fostering trust among stakeholders. The study recommends a multi-stakeholder approach to blockchain integration, emphasizing collaboration among governments, private sectors, and non-governmental organizations.
