Industrial accidents pose significant challenges to the safety and well-being of workers, communities, and the environment. In Algeria, as in many developing countries, these incidents have garnered increased attention due to their potential socio-economic and environmental ramifications. This systematic review aims to provide a mathematical modeling and statistical analysis of industrial accident consequences in Algeria over the period spanning from 2003 to 2023. The systematic review begins by outlining the major industrial sectors in Algeria, their growth trends, and the key contributing factors to industrial accidents. It then delves into a meticulous analysis of the mathematical and statistical methodologies employed in consequence modeling, including dispersion modeling, explosion modeling, and risk assessment techniques. The study identifies key challenges and limitations in the existing literature, highlighting the need for improved data collection, model validation, and regulatory measures.Furthermore, this review explores the impact of industrial accidents on human health, the environment, and the economy in the Algerian context. It assesses the adequacy of current safety protocols and regulations and suggests potential areas for enhancement. Through a comprehensive analysis of the literature, this review provides valuable insights into the state of industrial accident consequence modeling in Algeria, identifies research gaps, and offers recommendations for future research and policy development. The findings of this review contribute valuable insights into industrial accident management and prevention strategies in Algeria and serve as a foundation for evidence-based policymaking. By comprehensively examining the trends, determinants, and consequences of industrial accidents, this study addresses a critical knowledge gap and offers a robust framework for enhancing workplace safety, safeguarding communities, and preserving the environment.

Industrial accidents, mathematical modeling, statistical analysis, consequence modeling, workplace safety, Algeria