Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Rowter Journal Matondang Journal
Adetayo Olorunlana
Department of Nursing, College of Nursing and Basic Medical Sciences, Caleb University, Lagos, Nigeria

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Food Security Challenges Amidst Socioeconomic Instability Adetayo Olorunlana; Eugene Osasumwen Bello; Nnenna Okorie-Eugene
Rowter Journal Vol 4 No 1 (2025): Ȓowteɍ Journal
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/rowter.v4i1.1291

Abstract

Global insecurity, encompassing political unrest, warfare, and environmental shifts, has a profound impact on food security, presenting significant challenges to global food systems. This review aims to examine the multifaceted effects of global insecurity on food sustainability, investigating the interconnected relationships between insecurity factors and food systems, while proposing potential solutions to mitigate these challenges. The review synthesizes insights from a range of academic journals, policy reports, and case studies, encompassing diverse geographic regions and types of insecurity relevant to food security. Global instability has detrimental effects on food production, distribution, and availability. Political unrest and conflicts lead to migration and the destruction of agricultural infrastructure, while climate change exacerbates food shortages through extreme weather events. Precision farming and genetically modified crops offer potential solutions but are dependent on significant investment and supportive policies. Effective policy interventions, including investments in agricultural infrastructure, social protection, and peacebuilding, are crucial for strengthening food systems. Global collaboration and resource sharing are key to the successful implementation of these strategies. Addressing food security amidst global instability requires comprehensive and coordinated efforts. Research into agricultural resilience, technological advancements, and the integration of social protection systems will be vital in fostering sustainable food systems that can withstand the pressures of global volatility.
Selection of Appropriate Statistical Methods for Data Analysis: A Review Agbonyinma Mary Igharo; Adetayo Olorunlana; Nnenna Okorie-Eugene
Matondang Journal Vol 5 No 1 (2026): Màtondàng Journal
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/matondang.v5i1.1431

Abstract

Choosing the right statistical techniques for analyzing data is essential to obtain accurate and trustworthy results from research efforts. This article gives a detailed summary of the factors that affect the selection of statistical techniques, such as data characteristics, study goals, sample size, data spread, measurement level, assumptions, software access, and researchers' skills. Using case studies and examples, we demonstrate how statistical methods can be applied in real-life situations, showcasing both effective techniques and obstacles faced. Practical advice is given to researchers and practitioners, highlighting the significance of comprehensive exploratory data analysis, validation of assumptions, clear communication of findings, and ongoing learning. Opportunities for future research and development in statistical methodology are pinpointed, such as the advancement of methods for managing intricate data structures and the improvement of software tools and resources. Following proven methods and welcoming new ideas, researchers and professionals can improve the accuracy and dependability of their studies and help advance statistical techniques.
Co-Authors Agbonyinma Mary Igharo Eugene Osasumwen Bello Nnenna Okorie-Eugene Nnenna Okorie-Eugene