
Using Twitter to Track Unplanned School Closures: Georgia Public Schools, 2015-17
Author(s) -
Jennifer O. Ahweyevu,
Ngozi P. Chukwudebe,
Brittany M. Buchanan,
Jingjing Yin,
Bishwa B. Adhikari,
Xiaolu Zhou,
Zion Tsz Ho Tse,
Gerardo Chowell,
Martin I. Meltzer,
Isaac Chun-Hai Fung
Publication year - 2020
Publication title -
disaster medicine and public health preparedness
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.492
H-Index - 41
eISSN - 1938-744X
pISSN - 1935-7893
DOI - 10.1017/dmp.2020.65
Subject(s) - descriptive statistics , disease control , logistic regression , social media , medicine , medical education , geography , computer science , world wide web , environmental health , statistics , mathematics
To aid emergency response, Centers for Disease Control and Prevention (CDC) researchers monitor unplanned school closures (USCs) by conducting online systematic searches (OSS) to identify relevant publicly available reports. We examined the added utility of analyzing Twitter data to improve USC monitoring.