Association Among Environmental Factors, Economic Factors, and NCDs

Abstract

The study explores the relationship between environmental and economic factors and non-communicable disease (NCD) mortality in Thai provinces from 2018 to 2021. Using machine learning techniques and spatial analysis, it identifies key factors influencing NCD mortality, including air pollution, land surface temperature, nighttime light data, GDP, and population density. The random forest algorithm predicts NCD mortality with high accuracy (98–99%) and highlights the significant associations between environmental and economic factors and NCD mortality. These findings emphasize the importance of addressing environmental and economic factors in public health policy to reduce the burden of NCDs in Thailand.