Scalable prediction

Supplementary data of the paper entitled <i>"A scalable approach for short-term disease forecasting in high spatial resolution areal data" </i>(Orozco-Acosta et al., 2023).This repository contains the final model (1st-order neighbourhood + Type IV interaction) fitted using INLA for both lung cancer and overall cancer mortality data.See https://github.com/spatialstatisticsupna/Scalable_Prediction for further details.论文《高空间分辨率面域数据下的短期疾病预测可扩展方法》（Orozco-Acosta等，2023）的补充数据集。本存储库包含针对肺癌与总体癌症死亡率数据、利用INLA拟合得到的最终模型（一阶邻域+IV型交互作用）。更多细节请访问：https://github.com/spatialstatisticsupna/Scalable_Prediction。