Integrating the One Health Approach and Statistical Analysis for Sustainable Aquatic Ecosystem Management and Trace Metal Contamination Mitigation
Abstract
One Health approach in aquatic ecosystem shows the relationship between human health, fish health, and environmental health. Statistical analysis is used in the identification of critical linkages between these components, enabling the development of sustainable resource management practices and effective pollution control measures. This study focused on the statistical analysis that can be used for Sustainable Aquatic Ecosystem Management and Trace Metal Contamination Mitigation using One Health approach. The study found that researchers can gain valuable insights into the dynamics of trace metals in aquatic ecosystems by harnessing the power of statistical tools, such as descriptive analysis, Analysis of Variance, regression and correlation analyses, principal component analysis, and cluster analysis. These statistical tools could serve essential purposes, including identifying contamination sources and pathways, assessing human and environmental health risks, establishing robust monitoring and surveillance programmes, and facilitating effective risk communication and education efforts. Therefore, the application of the One Health approach to aquatic ecosystems and the strategic use of statistical analysis offers a comprehensive framework for understanding, managing, and mitigating the complex challenges of trace metal contamination. This integrated approach could pave way for more informed decision-making and promotes healthier, and more sustainable interactions between humans and the environment.