Comparing the performance of time series models with or without meteorological factors in predicting incident pulmonary tuberculosis in eastern China.

Our study revealed a possible link between PTB and meteorological factors. Taking meteorological factors into consideration increased the accuracy of time series models in predicting PTB, and the ARIMAX model was superior to the ARIMA and RNN models in study settings.