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This comprehensive research investigates heavy metal contamination in the rapidly developing town of Jebba in north-central Nigeria, which is essential to the nation's economy due to its agro-allied and non-agro-allied businesses. The research focuses on soil samples, collecting and analyzing 137 surface soil samples to assess the presence of 25 distinct metals. After statistical analysis and simple mathematical models are applied to the data, the amounts of harmful metals and their probable causes are revealed. The study identifies geogenic and anthropogenic origins of toxic metals, with some elements exceeding average crustal concentrations. Non-homogeneous metal dispersion is shown in the region by spatial distribution maps. The geo-accumulation index reflects various amounts of contamination, with particular metals posing significant threats to the ecosystem. Additionally, the study compares results with worldwide studies, revealing distinct pollution patterns in Jebba. The research delves into weathering processes, employing chemical indices to quantify the level of soil weathering and uncovering a prominent role of geogenic activities in metal release. Bivariate correlation and principal component analysis indicate links and possibly common sources among heavy metals, emphasizing anthropogenic contributions. In addition, assessments of ecological and medical risks are conducted, indicating possible threats to human wellness and the ecosystem. Children, in particular, are regarded as especially vulnerable to non-carcinogenic health concerns, with various heavy metals posing potential threats through diverse exposure routes. The study emphasizes the need to implement remediation procedures to address the risks to public health and the environment related to metal pollution., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest regarding the publication of this article., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Introduction: Symptomatology, nasal endoscopy and Computerised Tomographic (CT) scan have been used to diagnose chronic rhinosinusitis. The value of disease severity score in the assessment of chronic rhinosinusitis has not been well investigated. Hence, this study aims to correlate the pre-operative symptom severity score as well as overall disease severity score of patients with chronic rhinosinusitis with CT scan scores., Methods: This is a prospective study of 60 patients diagnosed clinically with chronic rhinosinusitis. Each patients ubjectively assessed his/her presenting symptoms and severity of disease on a visual analogue scale. The patients had CT scan of the paranasal sinuses which were graded and scored using Lund-Mackay grading system. The correlation study between severity of symptoms/disease severity and CT scores was performed. The level of statistical significance was considered at p<0.05 and confidence interval at 95%., Results: All patients had more than one symptom with mean symptom severity scores highest for nasal discharge and nasal obstruction. There was a significant correlation between CT scores and nasal discharge (r=-0.132; p=0.03)and nasal obstruction (r=0.193; p=0.049). No correlation with other symptoms. There was no correlation between the overall disease severity scores and the Lund-Mackay CT scores (r=0.195; p=0.6)., Conclusion: This study showed that CT scan scores can help clinicians to predict severity of symptom for nasal obstruction and discharge but not for other symptoms of chronic rhinosinusitis. However, there was no association of CT score with the overall disease severity score.