Prevalence of Occupational Injury among Workers in the Construction, Manufacturing, and Mining Industries in Africa: A Systematic Review and Meta-analysis

Abstract

Background: Despite the volume of existing literature on the prevalence of occupationrelated injuries in Africa, it is fragmented across a broader spectrum and difficult to quickly understand the average magnitude. Besides, there is a lack of empirical shreds of evidence on the regional pooled estimate. Hence, the study aimed to develop the regional pooled estimates of occupation-related injuries among workers in Africa's industries. Materials and Methods:The study followed preferred reporting items for systematic reviews and meta-analyses guidelines. The used databases included Scopus, PubMed, Science Direct, and Cochrane Library. Further, a modified version of the Newcastle-Ottawa Quality Assessment was used for the critical appraisal of studies. The pooled prevalence of injury was computed using STATA version 14 statistical software. Funnel plot and Egger's tests were conducted to evaluate publication bias. The study assessed the heterogeneity using the I-squared test and Galbraith plot. Results: Out of 603 accessed studies, 20 that met the eligibility criteria were included. The pooled prevalence of occupational injury in Africa was 57% (95% CI: 48, 67). Totally, 62% (95% CI: 44, 77), 57% (95% CI: 38, 76), and 51% (95% CI: 32, 69) of injuries were identified in the manufacturing, construction, and mining sites, respectively, based on the subgroup analysis. Conclusions: The rate of occupation-related injuries is dramatically increasing. Such injury is one of the immense concerns for workers' health and safety in Africa. Hence, the stakeholders should carry out rigorous law enforcement to ensure compliance with health and safety measures.

The prevalence of occupational injuries and associated risk factors among workers in the iron and steel industries: a systematic review and meta-analysis

“…construction, manufacturing, and mining industries in Africa (33). The higher pooled prevalence of occupational injuries in the iron and steel industries can be explained by the overall process of metal manufacturing from the beginning up to the nishing part, where it involves many hazardous substances, such as heat, noise, machines, and vehicles.…”

Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model

“…Ensuring a safe and healthy workplace is not only a legal and moral obligation but also, an essential determinant in sustaining job productivity and optimizing staff efficiency. Occupational injuries have the potential to result in substantial financial ramifications for the organization ( Debela, Azage & Begosaw, 2021 ; Kim & Park, 2021 ), decreased employee morale as a consequence of protracted medical recuperation ( Chin et al, 2018 ; Kendrick et al, 2017 ), and adverse effects on the overall quality of life within society ( Tompa et al, 2021 ). Therefore, it is imperative to conduct a timely and precise evaluation of the severity of occupational injuries to implement suitable and efficient workplace safety intervention strategies.…”