Modeling Seasonal Influenza Transmission and Its Association with Climate Factors in Thailand Using Time-Series and ARIMAX Analyses

<div>Fitted (blue line) and predicted (red line) values from model 17 (ARIMA(1, 0, 2)(1, 0, 0)<sub>12</sub> with average temperature (lag 4) and minimum relative humidity (lag 2)) compared with influenza cases (dot) in the central region.</div>

Computational and Mathematical Methods in Medicine

fig4

Figure 4

Figure 4: Modeling Seasonal Influenza Transmission and Its Association with Climate Factors in Thailand Using Time-Series and ARIMAX Analyses 