Monitoring Different Social Media Platforms to Report Unplanned School Closures Due to Wildfires in California, October and December 2017

Brittany M. Buchanan; Haley I. Evans; Ngozi P. Chukwudebe; Emily A. Duncan; Jingjing Yin; Bishwa B. Adhikari; Xiaolu Zhou; Zion Tsz Ho Tse; Gerardo Chowell; Martin I. Meltzer; Isaac Chun Hai Fung

doi:10.1017/dmp.2022.32

Monitoring Different Social Media Platforms to Report Unplanned School Closures Due to Wildfires in California, October and December 2017

Brittany M. Buchanan, Haley I. Evans, Ngozi P. Chukwudebe, Emily A. Duncan, Jingjing Yin, Bishwa B. Adhikari, Xiaolu Zhou, Zion Tsz Ho Tse, Gerardo Chowell, Martin I. Meltzer, Isaac Chun Hai Fung^*

^*Corresponding author for this work

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: 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. Methods: 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. Results: 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. Conclusion: Social media complements OSS as additional resources for USC monitoring during disasters.

Original language	English
Journal	Disaster Medicine and Public Health Preparedness
DOIs	https://doi.org/10.1017/dmp.2022.32
Publication status	Published - 31 Mar 2022

Bibliographical note

Funding Information:
ICHF acknowledges support from the CDC (18IPA1808820; 19IPA1908208).

Publisher Copyright:
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

Keywords

Facebook
Internet
public health surveillance
Twitter
wildfires

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10.1017/dmp.2022.32

Cite this

Buchanan, B. M., Evans, H. I., Chukwudebe, N. P., Duncan, E. A., Yin, J., Adhikari, B. B., Zhou, X., Tse, Z. T. H., Chowell, G., Meltzer, M. I., & Fung, I. C. H. (2022). Monitoring Different Social Media Platforms to Report Unplanned School Closures Due to Wildfires in California, October and December 2017. Disaster Medicine and Public Health Preparedness. https://doi.org/10.1017/dmp.2022.32

@article{f8888285f76b499fa46cd28050d0b55c,

title = "Monitoring Different Social Media Platforms to Report Unplanned School Closures Due to Wildfires in California, October and December 2017",

abstract = "Objective: 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. Methods: 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. Results: 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. Conclusion: Social media complements OSS as additional resources for USC monitoring during disasters. ",

keywords = "Facebook, Internet, public health surveillance, Twitter, wildfires",

author = "Buchanan, {Brittany M.} and Evans, {Haley I.} and Chukwudebe, {Ngozi P.} and Duncan, {Emily A.} and Jingjing Yin and Adhikari, {Bishwa B.} and Xiaolu Zhou and Tse, {Zion Tsz Ho} and Gerardo Chowell and Meltzer, {Martin I.} and Fung, {Isaac Chun Hai}",

note = "Funding Information: ICHF acknowledges support from the CDC (18IPA1808820; 19IPA1908208). Publisher Copyright: {\textcopyright} The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.",

year = "2022",

month = mar,

day = "31",

doi = "10.1017/dmp.2022.32",

language = "English",

journal = "Disaster Medicine and Public Health Preparedness",

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AU - Buchanan, Brittany M.

AU - Evans, Haley I.

AU - Chukwudebe, Ngozi P.

AU - Duncan, Emily A.

AU - Yin, Jingjing

AU - Adhikari, Bishwa B.

AU - Zhou, Xiaolu

AU - Tse, Zion Tsz Ho

AU - Chowell, Gerardo

AU - Meltzer, Martin I.

AU - Fung, Isaac Chun Hai

N1 - Funding Information: ICHF acknowledges support from the CDC (18IPA1808820; 19IPA1908208). Publisher Copyright: © The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

PY - 2022/3/31

Y1 - 2022/3/31

N2 - Objective: 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. Methods: 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. Results: 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. Conclusion: Social media complements OSS as additional resources for USC monitoring during disasters.

AB - Objective: 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. Methods: 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. Results: 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. Conclusion: Social media complements OSS as additional resources for USC monitoring during disasters.

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KW - Twitter

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DO - 10.1017/dmp.2022.32

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AN - SCOPUS:85128459380

SN - 1935-7893

JO - Disaster Medicine and Public Health Preparedness

JF - Disaster Medicine and Public Health Preparedness

ER -

Monitoring Different Social Media Platforms to Report Unplanned School Closures Due to Wildfires in California, October and December 2017

Abstract

Bibliographical note

Keywords

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