Evidence map›Paper›PMID 32406359›Full record

ArticleDisaster medicine and public health preparedness2021

Using Twitter to Track Unplanned School Closures: Georgia Public Schools, 2015-17.

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

Abstract read
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In one paragraph

Article in Disaster medicine and public health preparedness, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jennifer O AhweyevuDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
Ngozi P ChukwudebeDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
Brittany M BuchananDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
Jingjing YinDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
Bishwa B AdhikariHealth 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, Georgia.
Xiaolu ZhouDepartment of Geology and Geography, College of Science and Mathematics, Georgia Southern University, Statesboro, Georgia.
Zion Tsz Ho TseSchool of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia.ORCID 0000-0001-9741-1137
Gerardo ChowellDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia.ORCID 0000-0003-2194-2251
Martin I MeltzerHealth 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, Georgia.ORCID 0000-0002-7250-0472
Isaac Chun-Hai FungDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.ORCID 0000-0001-5496-2529

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesTo 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.

methodsGeorgia public school data were obtained from the National Center for Education Statistics. We identified school and district Twitter accounts with 1 or more tweets ever posted ("active"), and their USC-related tweets in the 2015-16 and 2016-17 school years. CDC researchers provided OSS-identified USC reports. Descriptive statistics, univariate, and multivariable logistic regression were computed.

resultsA majority (1,864/2,299) of Georgia public schools had, or were in a district with, active Twitter accounts in 2017. Among these schools, 638 were identified with USCs in 2015-16 (Twitter only, 222; OSS only, 2015; both, 201) and 981 in 2016-17 (Twitter only, 178; OSS only, 107; both, 696). The marginal benefit of adding Twitter as a data source was an increase in the number of schools identified with USCs by 53% (222/416) in 2015-16 and 22% (178/803) in 2016-17.

conclusionsPolicy-makers may wish to consider the potential value of incorporating Twitter into existing USC monitoring systems.

Indexed as

Social MediaCenters for Disease Control and Prevention, U.S.GeorgiaHumansSchoolsUnited Statesdigital healthpublic health surveillancesocial distancingsocial media

Identifiers

PMID32406359
PMCPMC7665976

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.