Social media mining for public health monitoring and surveillance

Michael J. Paul; Abeed Sarker; John S. Brownstein; Azadeh Nikfarjam; Matthew Scotch; Karen L. Smith; Graciela Gonzalez

doi:10.1142/9789814749411_0043

Social media mining for public health monitoring and surveillance

Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

108 Citations (Scopus)

67 Downloads (Pure)

Abstract

This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

Original language	English
Title of host publication	Biocomputing 2016
Subtitle of host publication	Proceedings of the Pacific Symposium
Editors	Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein
Place of Publication	Singapore
Publisher	World Scientific Publishing
Pages	468-479
Number of pages	12
ISBN (Electronic)	9789814749428
ISBN (Print)	9789814749404
DOIs	https://doi.org/10.1142/9789814749411_0043
Publication status	Published - 2016
Externally published	Yes
Event	21st Pacific Symposium on Biocomputing, PSB 2016 - Kohala Coast, United States Duration: 4 Jan 2016 → 8 Jan 2016

Conference

Conference	21st Pacific Symposium on Biocomputing, PSB 2016
Country/Territory	United States
City	Kohala Coast
Period	4/01/16 → 8/01/16

Bibliographical note

Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Social media
data mining
natural language processing
public health

Access to Document

10.1142/9789814749411_0043Licence: CC BY

Publisher versionFinal published version, 677 KBLicence: CC BY

Cite this

Paul, M. J., Sarker, A., Brownstein, J. S., Nikfarjam, A., Scotch, M., Smith, K. L., & Gonzalez, G. (2016). Social media mining for public health monitoring and surveillance. In R. B. Altman, A. K. Dunker, L. Hunter, M. D. Ritchie, T. Murray, & T. E. Klein (Eds.), Biocomputing 2016: Proceedings of the Pacific Symposium (pp. 468-479). World Scientific Publishing. https://doi.org/10.1142/9789814749411_0043

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keywords = "Social media, data mining, natural language processing, public health",

author = "Paul, {Michael J.} and Abeed Sarker and Brownstein, {John S.} and Azadeh Nikfarjam and Matthew Scotch and Smith, {Karen L.} and Graciela Gonzalez",

note = "Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 21st Pacific Symposium on Biocomputing, PSB 2016 ; Conference date: 04-01-2016 Through 08-01-2016",

year = "2016",

doi = "10.1142/9789814749411_0043",

language = "English",

isbn = "9789814749404 ",

pages = "468--479",

editor = "Altman, {Russ B.} and Dunker, {A. Keith} and Lawrence Hunter and Ritchie, {Marylyn D.} and Tiffany Murray and Klein, {Teri E.}",

booktitle = "Biocomputing 2016",

publisher = "World Scientific Publishing",

address = "Singapore",

}

Paul, MJ, Sarker, A, Brownstein, JS, Nikfarjam, A, Scotch, M, Smith, KL & Gonzalez, G 2016, Social media mining for public health monitoring and surveillance. in RB Altman, AK Dunker, L Hunter, MD Ritchie, T Murray & TE Klein (eds), Biocomputing 2016: Proceedings of the Pacific Symposium. World Scientific Publishing, Singapore, pp. 468-479, 21st Pacific Symposium on Biocomputing, PSB 2016, Kohala Coast, Hawaii, United States, 4/01/16. https://doi.org/10.1142/9789814749411_0043

Social media mining for public health monitoring and surveillance. / Paul, Michael J.; Sarker, Abeed; Brownstein, John S. et al.
Biocomputing 2016: Proceedings of the Pacific Symposium. ed. / Russ B. Altman; A. Keith Dunker; Lawrence Hunter; Marylyn D. Ritchie; Tiffany Murray; Teri E. Klein. Singapore: World Scientific Publishing, 2016. p. 468-479.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Sarker, Abeed

AU - Brownstein, John S.

AU - Nikfarjam, Azadeh

AU - Scotch, Matthew

AU - Smith, Karen L.

AU - Gonzalez, Graciela

N1 - Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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AB - This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

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KW - natural language processing

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DO - 10.1142/9789814749411_0043

M3 - Conference proceeding contribution

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BT - Biocomputing 2016

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A2 - Dunker, A. Keith

A2 - Hunter, Lawrence

A2 - Ritchie, Marylyn D.

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T2 - 21st Pacific Symposium on Biocomputing, PSB 2016

Y2 - 4 January 2016 through 8 January 2016

ER -

Social media mining for public health monitoring and surveillance

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