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All Journal African Multidisciplinary Journal of Sciences and Artificial Intelligence Open Access DRIVERset African Journal of Biochemistry and Molecular Biology Research Open Access DRIVERset African Journal of Sciences and Traditional Medicine Open Access DRIVERset Kwaghe International Journal of Arts, Humanities and Religious Studies African Journal of Clinical Medicine and Pharmacy Research African Journal of Medicine, Surgery and Public Health Research
Asare, Solomon Ossom
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

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Determine the Background Characteristics of Abattoir Butchers in Sishiagu, Tamale Metropolis Asare, Solomon Ossom; Bulama, Ahmed Abdu; Udoh, Mary Athanasius; Tahidu, Issifu
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 1 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i1.5025

Abstract

This study aimed to determine the background characteristics of abattoir butchers in Sishiagu, Tamale Metropolis. A total of two hundred structured questionnaires were used to collect data on participants' background characteristics of abattoir butchers, and data analysis was performed using SPSS version 21. The results showed that all butchers (95.5%) in this study were male, while 4.5% with 20.7% aged less than 20yrs 43.7% between 20yrs and 30 yrs, 25.9% 31yrs to 40yrs, 7.4% 41yrs to 50yrs and 2.2% 51yrs to 60yrs, less than half (43.7%) of the butchers were older than 29yrs. Additionally, 61.9% of butchers were married, while 36.6% were single and Divorced was 1.5%. The study found that 46% had less than 10 years of work experience, while 24% had 11 to 20 years of experience. Notably, 20.7% of butchers were uneducated, with only 0.7% with postgraduate, 5.9% holding a university degree, 26.7% with SSS/SHS and 20.7% with JHS. Furthermore, tenure of years in the business was found to be 30.4% at the age of 1yrs to 5yrs, 35.6% at 6yrs to 10yrs and 34.1 % at 11yrs. There was a clear understanding that younger generation at the age of 20yrs to 40yrs is taking over the Abattoir Butchers. In conclusion, the study indicates that the work force in the abattoir are younger generation based on the background characteristics and as such a moderate awareness regarding meat hygiene among butchers and meat workers in Sishiagu, Tamale Metropolis should be obtainable.
Factors Influencing Proper Healthcare Waste Management Practices Among Healthcare Workers in Nigeria Umaru, Isaac John; Asare, Solomon Ossom; Morgan, Akpan Usenobong; Umogbai, Debora Akinola; Chukwudi, Emmanuel Eluu; Essien, Inemesit Samuel; Olayemi, Abimbola Gbenga; John, Omachi Blessing
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.8022

Abstract

Healthcare waste management (HCWM) is a critical component of public health and environmental safety, particularly in developing countries like Nigeria where improper disposal practices pose significant risks, and compliance among healthcare workers remains inconsistent despite the existence of national guidelines and global protocols. This study aimed to assess the factors influencing proper HCWM practices among healthcare workers in Nigeria, focusing on knowledge, attitudes, institutional support, and policy awareness. A cross-sectional survey was conducted among 300 healthcare workers across tertiary and secondary health facilities in Abuja, Lagos, and Kano. Data were collected using structured questionnaires covering demographic information, HCWM knowledge, attitudes, practices, and institutional factors, and were analyzed in SPSS v25 using chi-square tests and logistic regression to identify significant predictors of compliance. Among the respondents, 60% had received formal HCWM training, 70% were aware of HCWM guidelines, and 75% expressed positive attitudes toward waste management; however, only 55% practiced correct waste segregation and 50% reported adequate institutional support. Chi-square analysis revealed significant associations between HCWM training and proper waste segregation (χ² = 12.45, p < 0.01), and between institutional support and PPE usage (χ² = 9.78, p < 0.05). Logistic regression identified HCWM training (OR = 2.3, 95% CI: 1.5–3.6) and positive attitude (OR = 1.8, 95% CI: 1.2–2.9) as significant predictors of proper HCWM practices. The study concludes that training, institutional support, and attitudes are key determinants of HCWM compliance among healthcare workers in Nigeria, and that bridging the gap between knowledge and practice requires targeted interventions, infrastructure investment, and policy enforcement. Strengthening HCWM systems is essential for reducing occupational hazards, preventing environmental contamination, and promoting sustainable healthcare delivery.
Comparative Analysis of Microbial Load of the Main Water Production and Water Availability in Federal University Wukari Umaru, Isaac John; Asare, Solomon Ossom; Omanchi, Emmanuel; Olayemi, Abimbola Gbenga; Morgan, Akpan Usenobong
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.8027

Abstract

Access to clean and safe water is a critical component of public health and institutional sustainability, particularly in academic environments where large populations depend on reliable water sources for daily activities. Federal University Wukari, located in Taraba State, Nigeria, primarily relies on boreholes and hand-dug wells to meet its water needs; however, these sources are susceptible to microbial contamination due to poor construction, proximity to waste disposal sites, and seasonal fluctuations in groundwater levels. This study conducted a comparative analysis of the microbial load in water samples collected from boreholes and wells across various campus locations. Standard microbiological techniques were employed to quantify total heterotrophic bacteria, coliforms, and the presence of Escherichia coli, and a structured survey was administered to assess water availability and usage patterns among students and staff. Results revealed that well water samples consistently exhibited higher microbial loads, with E. coli detected in all well sources, whereas borehole samples showed significantly lower contamination levels, and statistical analysis confirmed a significant difference in microbial counts between the two water sources (p < 0.05). The survey further indicated disparities in water availability, with student hostels and off-campus staff areas experiencing the most frequent shortages. These findings underscore the urgent need for routine water quality monitoring, infrastructural improvements, and policy interventions to ensure safe and equitable water access within the university. The study contributes to the broader discourse on water safety in Nigerian tertiary institutions and provides actionable insights for campus health and infrastructure planning.
Co-Authors Abiodun, Ogwa Oluwafunmike Akafa, Tensaba Andes Ametefe, Mathias Mawuli Ametsi, Smile Kobina Amofa, Gift Ayi, Atsu Bobie, Shelter Agbeko Bulama, Ahmed Abdu Chukwudi, Emmanuel Eluu Dambazau, Zainab Bello Dennis, Adobeni Emmanuel Essien, Inemesit Samuel Gyasi, Prince Kwadwo Hassan, Okrah George Jack, Precious Chioma John, Omachi Blessing Johnson, Joanna Afariba Kingsly, Iseko Iyoko Konka, Dadaniel Konka, Daniel Maxwell, Laweh Addo Morgan, Akpan Usenobong O, Mosugu O. Oladele, Gloria Omonefe Olayemi, Abimbola Gbenga Olayeni, Abimbola Gbenga Omanchi, Emmanuel Omanchi, Emmanuel Olofu Oteng, Joseph Shehu, Amina Jummai Sirina, Bakari Genevieve Tahidu, Issifu Udoh, Mary Athanasius Umaru, Isaac John Umaru, Kerenhappuch Isaac Umogbai, Debora Akinola Yeboah, Genevieve Akpah