TY -的盟Husnayain Atina AU -垫片,Eunha盟(Fuad茴香酒非盟- Su,艾米丽Chia-Yu PY - 2020 DA - 2020/9/29 TI -理解COVID-19疫情的社区风险认知在韩国:Infodemiology研究乔- J地中海互联网Res SP - e19788六世- 22 - 9千瓦-谷歌趋势KW -风险KW -感知KW交流KW - COVID-19 KW -韩国KW -爆发KW - Infodemiology AB -背景:韩国是在应对冠状病毒大流行方面表现最好的国家之一，采取了大规模驾车通过检测、使用口罩和广泛的社交距离。然而，了解风险认知模式也可促进有效的风险沟通，以尽量减少危机期间疾病传播的影响。目的:我们试图利用互联网搜索数据探索韩国社区对COVID-19的健康风险认知模式。方法:使用韩文新冠肺炎相关词汇收集Google Trends (GT)和NAVER相对搜索量(rsv)数据，按照时间、性别、年龄、设备类型、位置等进行检索。将在线查询与2019年12月5日至2020年5月31日期间Kaggle开放获取数据集中报告的每日新增COVID-19病例和检测数量进行了比较。采用Spearman秩相关系数计算的时滞相关性来评估新发病例与网络搜索之间的相关性是否受到时间的影响。我们还利用COVID-19病例数、检测结果以及滞后期(1-3天)的GT和NAVER rsv构建了新发COVID-19病例的预测模型。采用反向消去和方差膨胀因子<5的单次和多次回归。结果:在本地传播、批准冠状病毒检测试剂盒、实施冠状病毒免刷检测、口罩短缺、广泛开展社交距离运动等当地事件以及世界卫生组织宣布国际关注的突发公共卫生事件等国际事件期间，韩国与covid -19相关的查询数量有所增加。 Online queries were also stronger in women (r=0.763-0.823; P<.001) and age groups ≤29 years (r=0.726-0.821; P<.001), 30-44 years (r=0.701-0.826; P<.001), and ≥50 years (r=0.706-0.725; P<.001). In terms of spatial distribution, internet search data were higher in affected areas. Moreover, greater correlations were found in mobile searches (r=0.704-0.804; P<.001) compared to those of desktop searches (r=0.705-0.717; P<.001), indicating changing behaviors in searching for online health information during the outbreak. These varied internet searches related to COVID-19 represented community health risk perceptions. In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test–related information as being more important than disease-related knowledge. Meanwhile, younger, and older age groups had different perceptions. Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions. Adding COVID-19–related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case–based model and potentially be used to predict epidemic curves. Conclusions: The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location. SN - 1438-8871 UR - //www.mybigtv.com/2020/9/e19788/ UR - https://doi.org/10.2196/19788 UR - http://www.ncbi.nlm.nih.gov/pubmed/32931446 DO - 10.2196/19788 ID - info:doi/10.2196/19788 ER -