Buchanan Brittany M, Evans Haley I, Chukwudebe Ngozi P, Duncan Emily A, Yin Jingjing, Adhikari Bishwa B, Zhou Xiaolu, Tse Zion Tsz Ho, Chowell Gerardo, Meltzer Martin I, Fung Isaac Chun-Hai
Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
Health Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Disaster Med Public Health Prep. 2022 Mar 31;17:e123. doi: 10.1017/dmp.2022.32.
Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.
Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.
Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.
Social media complements OSS as additional resources for USC monitoring during disasters.
疾病控制与预防中心的研究人员通过在线系统搜索（OSS）监测非计划性学校关闭（USC）报告，以协助公共卫生应急响应。我们统计了通过社交媒体以及OSS识别出的额外报告，以改进USC监测。
检索了2017年10月、12月以及2018年1月受加利福尼亚州野火影响的县的公立学区和私立学校的Facebook和Twitter数据。我们对OSS和社交媒体数据进行了描述性统计并进行了多变量逻辑回归分析。
在受野火影响的县的362个公立学区中，确定有115个（32%）学区出现了USC情况，其中OSS识别出104个（90%），Facebook识别出59个（52%），Twitter识别出37个（32%）。这些数据对应4622所公立学校，其中确定有888所（19.2%）学校出现了USC情况，其中OSS识别出722所（81.3%），Facebook识别出496所（55.9%），Twitter识别出312所（35.1%）。在1289所私立学校中，确定有104所学校出现了USC情况，其中OSS识别出47所（45.2%），Facebook识别出67所（64.4%），Twitter识别出29所（27.9%）。除了通过OSS识别出的USC公告外，通过社交媒体识别出的还有11个公立学区、166所公立学校和57所私立学校。
社交媒体可作为灾难期间USC监测的额外资源，对OSS起到补充作用。
