Underlying Data- ILI Vulnerability Analysis for USA

The following files have been uploaded: 1. input_wo_pm.xlsx: Contains the demographic data used as the independent variable in the RFR model [CENSUS data: https://www.census.gov/ ; CDC data: https://www.cdc.gov/fluview/ ] 2. percent_data_y_2022.csv: Contains the ILI data for the year 2022 used as the Dependent variable in the RFR model [CDC data: https://www.cdc.gov/fluview/ ] 3. state_vulnerability_index: Contains the state-wise vulnerability and normalised vulnerability computed using the Random Forest-based method.已上传以下文件： 1. input_wo_pm.xlsx：包含作为随机森林回归（Random Forest Regression，简称RFR）模型自变量的人口统计数据，数据源自美国人口普查局（CENSUS）公开数据：https://www.census.gov/ 与美国疾病控制与预防中心（CDC）流感监测数据：https://www.cdc.gov/fluview/ 2. percent_data_y_2022.csv：包含2022年流感样病例（Influenza-Like Illness，简称ILI）数据，作为随机森林回归（RFR）模型的因变量，数据源自美国疾病控制与预防中心（CDC）流感监测数据：https://www.cdc.gov/fluview/ 3. state_vulnerability_index：包含基于随机森林方法计算得到的各州脆弱性指数及其标准化脆弱性指数。