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Unplanned Closure of Public Schools in Michigan, 2015-2016: Cross-Sectional Study on Rurality and Digital Data Harvesting
Journal of School Health
  • Ashley M. Jackson, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Lindsay Mullican, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Zion Tsz Ho Tse, University of Georgia
  • Jingjing Yin, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Xiaolu Zhou, Georgia Southern University
  • Dharamendra Kumar, University of Georgia
  • Isaac Fung, Georgia Southern University, Jiann-Ping Hsu College of Public Health
Document Type
Article
Publication Date
5-7-2020
DOI
10.1111/josh.12901
Abstract

BACKGROUND

For pandemic preparedness, researchers used online systematic searches to track unplanned school closures (USCs). We determine if Twitter provides complementary data. METHODS

Twitter handles of Michigan public schools and school districts were identified. All tweets associated with these handles were downloaded. USC‐related tweets were identified using 5 keywords. Descriptive statistics and multivariable logistic regression were performed in R. RESULTS

Among 3469 Michigan public schools, 2003 maintained their own active Twitter accounts or belonged to school districts with active Twitter accounts. Of these 2003 schools, in 2015‐2016 school year, at least 1 USC announcement was identified for 349 schools via the current method only, 678 schools via Twitter only, and 562 schools via both methods. No USC announcements were identified for 414 schools. Rural schools were less likely than city schools to have active Twitter coverage (adjusted relative risk [adjRR] = 0.3956, 95% confidence interval [CI] 0.3312‐0.4671), and to announce USCs on Twitter (adjRR = 0.5692, 95% CI 0.4645‐0.6823), but more likely to have USCs identified by the current method (adjRR = 1.4545, 95% CI 1.3545‐1.5490). CONCLUSIONS

Each method identified USCs that were missed by the other. Our results suggested that identifying USCs on Twitter is complementary to the current method.

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Citation Information
Ashley M. Jackson, Lindsay Mullican, Zion Tsz Ho Tse, Jingjing Yin, et al.. "Unplanned Closure of Public Schools in Michigan, 2015-2016: Cross-Sectional Study on Rurality and Digital Data Harvesting" Journal of School Health Vol. 90 Iss. 7 (2020) p. 511 - 519
Available at: http://works.bepress.com/isaac_fung1/164/