“…We started in the Northern Hemisphere Summer of 2015 (week of June 21, 2015) and based our models on the trend component of asthma hospitalizations and on GT data from the 3 previous years (weeks of July 1, 2012-June 14, 2015). Seasonal ARIMA models are defined by the parameters ( p , d , q )( P , D , Q ) s , where p corresponds to the order of autoregression, d is the degree of difference, q is the order of the moving average part, P is the seasonal order of autoregression, D is the seasonal integration, Q is the seasonal moving average, and s is the length of the seasonal period [ 11 , 15 ]. We applied seasonal ARIMA (3,0,2)(0,1,1) 52 models.…”