Using Artificial Intelligence as a Public Health Surveillance Tool During Salmonella Outbreaks

Abstract

The increasing prevalence of illnesses, particularly Salmonella infections, presents a significant public health challenge. Traditional surveillance and outbreak management methods are resource-intensive and often must catch up to real-time occurrences. This chapter explores the application of artificial intelligence (AI) within a systems thinking framework to revolutionize public health surveillance and outbreak response for Salmonella. By harnessing AI-driven tools for data analysis, early detection, source attribution, and intervention planning, public health agencies can enhance their capacity to prevent and mitigate Salmonella outbreaks. This chapter discusses the potential of AI-driven systems to transform the landscape of public health. The chapter proposes AI as a holistic approach integrating technology, data, and human expertise for more effective Salmonella outbreak control based on actual life outbreaks and the historical contexts of the of a real outbreak event.