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All Journal Radinka Journal of Science and Systematic Literature Review Radinka Journal of Health Science
Nathan Udoinyang
Department of Economics, Ignatius Ajuru University of Education, Rumuolumeni, Port Harcourt, Rivers State Nigeria
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Health Professions Mathematics Medicine & Pharmacology Nursing Public Health

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Oil Spill Exposure and Environmental Health Risks: A Guidance and Counselling Framework for Promoting Environment Sustainability in the Niger Delta Nathan Udoinyang; Wobodo Brighten CHINWEATU
RADINKA JOURNAL OF HEALTH SCIENCE Vol. 3 No. 4 (2026): Radinka Journal of Heatlh Science (RJHS)
Publisher : RADINKA JAYA UTAMA PUBLISHER, PADANG, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjhs.v3i4.712

Abstract

This study examines oil spill exposure and environmental health risks in the Nigerian Niger Delta and proposes a guidance and counseling framework for promoting environmental sustainability. The study adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews across selected states and local government areas. A total of 600 respondents, including farmers, fishermen, traders, and civil servants, participated in the study. Descriptive analysis revealed high levels of oil spill exposure and environmental health risks, alongside moderate environmental awareness. Regression analysis showed a significant positive relationship between oil spill exposure and health risks, as well as between environmental awareness and sustainable behavior. Thematic analysis further identified key issues such as health concerns, economic losses, psychological stress, low awareness, and institutional distrust. The findings highlight the multidimensional impacts of environmental degradation and the limitations of existing technical interventions. The study concludes that guidance and counseling frameworks can play a critical role in enhancing environmental awareness, promoting behavioral change, and improving community resilience. It recommends the integration of counseling programs into environmental policies, increased public education, and stronger institutional accountability to achieve sustainable development in the Niger Delta.
AI-Enhanced Flood Prediction and Environment Health Risk Communication: A Counselling Framework for Sustainable Development in the Niger Delta of Nigeria Nathan Udoinyang; Edna Abibetu ABIDDE; Enebi AVWORO; Osiokor Onoriode ALEXANDER
RADINKA JOURNAL OF HEALTH SCIENCE Vol. 3 No. 4 (2026): Radinka Journal of Heatlh Science (RJHS)
Publisher : RADINKA JAYA UTAMA PUBLISHER, PADANG, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjhs.v3i4.713

Abstract

This study examines the integration of artificial intelligence (AI) in flood prediction and counselling-based environmental health risk communication in the Niger Delta region of Nigeria. The aim is to develop a comprehensive framework that enhances disaster preparedness and supports sustainable development. A mixed-method research design was employed, involving 450 respondents selected from Delta, Bayelsa, and Rivers States. Data were collected through structured questionnaires and interviews and then analysed using descriptive statistics, thematic analysis, and multiple regression techniques. The findings reveal that while flood risk awareness is high among residents, awareness of AI-based prediction systems and communication effectiveness remain moderate. Thematic results indicate that mistrust in government communication and delays in information dissemination are key barriers to effective risk communication and the adoption of AI-based prediction systems among residents. Regression analysis shows that AI prediction systems (β = 0.42) and counselling communication (β = 0.37) significantly improve environmental health risk awareness, leading to rejection of the null hypothesis. The study concludes that integrating AI technologies with counselling frameworks enhances risk communication, promotes behavioural change, and improves disaster preparedness. It recommends increased investment in AI systems, the incorporation of counselling services in disaster management, and the development of trust-based communication strategies. This integrated approach is essential for achieving sustainable development goals in flood-prone regions.
Artificial Intelligence and Environmental Sustainability in Benue State, Nigeria Nathan Udoinyang; Juliet Nkonyeasua Ossai
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 4 No. 2 (2026): Radinka Journal of Science and Systematic Literature Review
Publisher : Radinka Jaya Utama Publisher, Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v4i2.732

Abstract

This research investigates the application of artificial intelligence (AI) in addressing critical environmental challenges in Benue State, Nigeria, specifically focusing on increasing flooding, deforestation, waste mismanagement, and unsustainable agricultural practices, collectively termed the "four environmental issues." Employing a descriptive survey design, data were gathered from a sample of 400 respondents across five local government areas selected via stratified random sampling using a structured questionnaire and were subsequently evaluated using descriptive and inferential statistics. The descriptive analysis revealed severe environmental challenges alongside a moderate level of awareness regarding various AI technologies, with respondents indicating a strong consensus on the potential of AI to enhance environmental management. Furthermore, regression analysis demonstrated a statistically significant positive relationship between AI adoption and environmental sustainability, while identifying infrastructural deficits, technical skill gaps, and policy limitations as primary adoption barriers. Anchored in the technology acceptance model, systems theory, and sustainable development theory, the study concludes that AI serves as a transformative catalyst for advancing environmental sustainability (SDGs 13, 14, and 15) in Benue State. Consequently, the research recommends targeted investments in AI infrastructure, capacity-building initiatives, and supportive policy frameworks to ensure effective implementation.
Co-Authors Edna Abibetu ABIDDE Enebi AVWORO Juliet Nkonyeasua Ossai Osiokor Onoriode ALEXANDER Wobodo Brighten CHINWEATU