Application of the AHP-Gaussian method to support the prioritization of workers' health actions in Brazil, based on data from DATASUS

Abstract

Abstract This study applied the AHP-Gaussian method (AHP-G) to prioritize occupational health actions in Brazil based on data from DATASUS, used to provide analytical approaches needed to manage the complexity and multidimensionality of public health data. Unlike traditional methodologies, AHP-G allows a detailed quantitative analysis, thus mitigating the subjectivity involved in evaluating different criteria. The results indicate that pneumoconiosis and occupational cancer are priorities, with São Paulo emerging as the most critical state. The correlation between population data and the identified priorities highlights the relevance of adjusting public policies to the specific needs of states. This study not only fills a significant gap in the literature by providing a refined analytical tool for policymakers and researchers, but also signals future directions to enhance occupational health strategies in the Brazilian context.