Environmental Detreminants of Tuberculosis

Abstract

Tuberculosis (TB) continues to be a major public health issue worldwide, with its prevalence heavily influenced by environmental determinants such as poor living conditions, air pollution, and limited healthcare access. These factors contribute to the spread and persistence of TB, particularly in under-resourced and vulnerable communities. Understanding the environmental influences on TB transmission is key to developing effective prevention and intervention strategies. Artificial Intelligence (AI) offers a groundbreaking solution for analyzing the complex relationships between environmental determinants and TB. This study explores the potential of AI in addressing the environmental determinants of tuberculosis, showcasing how AI can be applied to enhance disease monitoring, improve resource allocation, and support effective policy-making. Integrating AI into public health strategies offers the opportunity to transform the approach to TB control, enabling a more proactive and data-driven response to this global health challenge.