Disease Migration, Mitigation, and Containment: Impact of Climatic Conditions & Air Quality on Tuberculosis for India

Changes in the environment affect the epidemiology of air-borne diseases. The paper presents the detailed impact analysis through cross-correlation findings of historic data of air pollution parameters namely SO2, NO2, RSPM and climatic parameters namely Rainfall, Average Temperature and Relative Humidity with Tuberculosis incidents (Total TB cases, Smear positive cases) (Indian Scenario). The work carried out would further be used for prediction of Tuberculosis in the near future using different Machine Learning and Deep Learning techniques.