Using X Social Networks (formerly Twitter) and web news mining to predict the measles outbreak

作     者：Kia Jahanbin Mohammad Jokar Vahid Rahmanian Kia Jahanbin;Mohammad Jokar;Vahid Rahmanian

作者机构：Department of Computer Engineering Yazd UniversityYazdIran Faculty of Veterinary MedicineKaraj BranchIslamic Azad UniversityKarajIran Department of Public HealthTorbat Jam Faculty of Medical SciencesTorbat JamIran 

出 版 物：《Asian Pacific Journal of Tropical Medicine》 (亚太热带医药杂志（英文版）)

年 卷 期：2024年第17卷第4期

页      面：188-190页

核心收录：

学科分类：050301[文学-新闻学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 05[文学] 1002[医学-临床医学] 100401[医学-流行病与卫生统计学] 0503[文学-新闻传播学] 10[医学] 

主　　题：Twitter web mining 

摘      要：Measles,an infectious disease caused by the measles virus,remains a significant public health concern worldwide due to its highly contagious nature and potential for severe complications[1].In addition to symptoms such as high fever,cough,Koplik spots,and rash,measles can lead to serious complications including pneumonia and myocarditis,particularly in vulnerable populations such as young children[1,2].