highly significantp < 0.0001
Furthermore, diagnostics indicated that an ARIMA model constructed using precipitation and temperature to predict the timing of arbovirus cases provided a good fit to the observed arbovirus cases based on the Q-Q plot, autocorrelation function, and the t -test of model coefficients, which was highly significant ( t = 17.87, p < 0.0001, Fig. 4 ).