Commentary - (2025) Volume 10, Issue 5
Received: 01-Sep-2025, Manuscript No. IJPHS-25-175355;
Editor assigned: 03-Sep-2025, Pre QC No. P-175355;
Reviewed: 17-Sep-2025, QC No. Q-175355;
Revised: 22-Sep-2025, Manuscript No. R-175355;
Published:
29-Sep-2025
, DOI: 10.37421/2157-7587.2025.10.465
Citation: Dubreuil, Camille. ”The Ubiquity and Evolution of Risk Assessment.” Int J Pub Health Safe 10 (2025):465.
Copyright: © 2025 Dubreuil C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
A scoping review critically examines existing risk assessment tools designed to predict falls in older adults. This research provides a vital overview of current instruments, highlighting the diverse methodologies and specific focuses employed by these tools. The review points to a significant need for the development of standardized, comprehensive instruments. Such tools would enable more accurate prediction and effective prevention of fall incidents, ultimately leading to substantial improvements in the quality of elderly care and safety for this vulnerable population [1].
Another study addresses the pressing issue of environmental risk assessment concerning pharmaceuticals. It specifically investigates the ecological risks associated with these substances and analyzes the regulatory frameworks currently in place. The article underscores the inherent challenges involved in accurately evaluating the complex and often long-term impacts that drugs can have on various ecosystems. Furthermore, it discusses potential avenues for improving existing guidelines to foster more robust and comprehensive environmental protection measures [2].
In the realm of digital security, a systematic literature review focuses on cybersecurity risk assessment within industrial control systems. This review synthesizes a broad range of current research to identify common vulnerabilities that threaten these critical infrastructures. It also details various assessment methodologies and highlights the unique challenges faced when securing systems essential for industrial operations. The insights provided are invaluable for both practitioners seeking to implement better security and researchers aiming to advance the field [3].
Public health concerns are a central theme in research that quantifies the health risks associated with heavy metals found in dust across different functional areas of Dhaka, Bangladesh. This study meticulously assesses the exposure levels and potential health impacts on the resident population. It identifies specific zones where risks are particularly significant, thereby emphasizing the urgent necessity for targeted public health interventions to mitigate these environmental hazards and protect community well-being [4].
The financial sectorâ??s engagement with environmental challenges is explored through a systematic review of climate change risk assessment practices. This review identifies key approaches and methodologies that financial institutions use to understand and manage climate-related risks. It stresses the growing importance of integrating these risks into core financial decision-making processes and reporting standards. The research also pinpoints areas requiring further investigation to enhance the sector's resilience to climate change [5].
Occupational safety is rigorously examined in a systematic review focusing on risk assessment practices within the high-risk construction sector. This comprehensive dive uncovers prevailing methods used to evaluate workplace hazards, identifies common dangers faced by workers, and explores emerging trends in safety management. The insights gleaned are crucial for developing more effective strategies to enhance worker safety and inform policy development, thereby reducing incidents in this vital industry [6].
Advancements in technology are brought to the forefront in a systematic review investigating Artificial Intelligence (AI) models for food safety risk assessment. This review demonstrates the transformative potential of AI to significantly improve the prediction and management of foodborne hazards. It thoroughly discusses the strengths and limitations of various AI models, illustrating their capacity to revolutionize how food safety practices are implemented and maintained, ultimately safeguarding public health [7].
Innovation in risk management methodology is presented with a novel project risk assessment method. This approach integrates fuzzy DEMATEL and hesitant fuzzy linguistic term sets to offer a more nuanced and sophisticated way to evaluate complex project risks. It is particularly valuable for situations characterized by high uncertainty and incomplete information, enabling the development of more robust and adaptive risk management strategies for successful project outcomes [8].
Furthermore, the application of machine learning in financial risk assessment is highlighted through a model designed for Small and Medium-sized Enterprises (SMEs). This research illustrates how Artificial Intelligence can dramatically enhance the accuracy of credit risk prediction for SMEs. By providing financial institutions with more informed decision-making capabilities, this model not only mitigates lending risks but also plays a crucial role in fostering the sustainable growth and development of SMEs [9].
Finally, infectious disease risks within food production facilities are thoroughly examined in a systematic review. This study meticulously outlines common pathogens, identifies primary transmission routes, and details current mitigation strategies employed in these environments. It provides crucial insights necessary for developing and implementing more effective biosafety protocols, which are essential for preventing outbreaks and ensuring overall public health and food security [10].
The comprehensive body of research explores the multifaceted domain of risk assessment, spanning critical areas from public health and environmental protection to advanced technological applications and industrial safety. A significant focus is placed on refining methodologies and developing new tools to identify, evaluate, and mitigate potential hazards. For instance, in healthcare, a scoping review delves into various risk assessment tools aimed at preventing falls in older adults. This highlights the urgent need for standardized, comprehensive instruments that can accurately predict and prevent fall incidents, thereby enhancing elderly care and safety [1]. This complements efforts to safeguard public health in environmental contexts, such as a study on the health risks associated with heavy metals in dust across Dhaka, Bangladesh. This research meticulously quantifies exposure levels and potential impacts on residents, pointing to critical zones requiring public health interventions [4]. Another crucial environmental study investigates the ecological risks of pharmaceuticals and scrutinizes existing regulatory frameworks, discussing the challenges of assessing drug impacts on ecosystems and proposing improvements for stronger environmental protection [2].
Industrial sectors face unique challenges in risk management. A systematic review dedicated to cybersecurity risk assessment within industrial control systems synthesizes current research, detailing common vulnerabilities, assessment methodologies, and the specific difficulties in securing critical infrastructure. This provides valuable insights for both practitioners and researchers working to protect essential services [3]. Similarly, the construction sector, known for its inherent risks, benefits from a systematic review of occupational risk assessment practices. This study uncovers prevailing methods, common hazards, and emerging trends, offering critical insights to improve worker safety and inform policy development in this high-risk industry [6]. Beyond physical infrastructure, the financial sector is increasingly integrating environmental concerns into its risk frameworks. A systematic review explores how climate change risk assessment is handled, identifying key approaches and methodologies, and emphasizing the growing importance of incorporating climate-related risks into financial decision-making and reporting [5]. This integration is crucial for the long-term stability and resilience of economic systems.
Technological innovation, particularly in Artificial Intelligence (AI) and machine learning, is revolutionizing risk assessment across various domains. For example, a systematic review specifically investigates AI models used in food safety risk assessment. It demonstrates how AI can significantly enhance the prediction and management of foodborne hazards, discussing the strengths and limitations of diverse models and their potential to transform food safety practices globally [7]. Parallel to this, machine learning approaches are proving instrumental in financial risk management for Small and Medium-sized Enterprises (SMEs). Research introduces a financial risk assessment model for SMEs that leverages machine learning to improve the accuracy of credit risk prediction, empowering financial institutions to make more informed lending decisions and support the growth of these vital economic entities [9]. These technological advancements signify a move towards more predictive, data-driven, and efficient risk mitigation strategies.
Beyond specific applications, advancements in risk assessment methodologies themselves are crucial. A novel project risk assessment method is proposed, utilizing fuzzy DEMATEL and hesitant fuzzy linguistic term sets. This offers a more nuanced approach to evaluate complex project risks, especially in contexts marked by significant uncertainty and incomplete information, ultimately leading to more robust risk management strategies and successful project outcomes [8]. In the critical area of food safety, beyond AI applications, infectious disease risks within food production facilities are systematically reviewed. This study thoroughly outlines common pathogens, identifies transmission routes, and details current mitigation strategies. Such insights are fundamental for developing more effective biosafety protocols and ensuring public health security through safer food production environments [10]. Collectively, these studies highlight a dynamic and evolving field, continually seeking better ways to understand, measure, and manage risks across an expanding array of human endeavors.
Research across diverse fields consistently highlights the critical importance of effective risk assessment. In healthcare, a scoping review examines tools for predicting falls in older adults, emphasizing the need for standardized instruments to improve elderly care. Environmental concerns are addressed through an analysis of pharmaceutical ecological risks and regulatory frameworks, discussing challenges in evaluating drug impacts on ecosystems and suggesting improvements for better protection. The digital landscape sees a systematic review of cybersecurity risk assessment in industrial control systems, detailing vulnerabilities and challenges in securing critical infrastructure. Public health studies include an assessment of heavy metal health risks in dust from Dhaka, Bangladesh, quantifying exposure and potential impacts, which underscores the need for intervention. The financial sector grapples with climate change risk assessment, with a systematic review identifying key approaches and the growing need to integrate climate-related risks into financial decision-making. Occupational safety is also a focus, with a systematic review of risk assessment practices in the construction sector, offering insights to enhance worker safety and inform policy development in a high-risk industry. Food safety benefits from advanced techniques, including a systematic review of Artificial Intelligence models for food safety risk assessment, showing how AI can improve prediction and management of hazards. Another review focuses on infectious disease risks within food production facilities, outlining pathogens and mitigation strategies for improved biosafety. Methodological innovations include a novel project risk assessment method using fuzzy DEMATEL and hesitant fuzzy linguistic term sets for evaluating complex project risks under uncertainty. Similarly, a machine learning approach is introduced for financial risk assessment in Small and Medium-sized Enterprises (SMEs), enhancing credit risk prediction and supporting SME growth. These studies collectively underscore the broad applicability and evolving methodologies of risk assessment in addressing complex challenges across various domains.
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