Discovering seasonal patterns of smoking behavior using online search information

Zhu Zhang; Xiaolong Zheng; Daniel Dajun Zeng; Kainan Cui; Chuan Luo; Saike He; Scott Leischow

doi:10.1109/ISI.2013.6578861

Discovering seasonal patterns of smoking behavior using online search information

Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Kainan Cui, Chuan Luo, Saike He, Scott Leischow

Quantitative Health Sciences

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

4 Scopus citations

Abstract

Discovering temporal patterns and changes in tobacco use has important practical implications in tobacco control. This paper presents one of the first comprehensive international studies of seasonal smoking patterns based on online searches performed. Using periodogram and cross-correlation, we find that smoking-related search behavior shows strong seasonality effect across countries. In addition, there are significant pairwise associations between such seasonality in different countries.

Original language	English (US)
Title of host publication	IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publication	Big Data, Emergent Threats, and Decision-Making in Security Informatics
Pages	371-373
Number of pages	3
DOIs	https://doi.org/10.1109/ISI.2013.6578861
State	Published - Sep 9 2013
Event	11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 - Seattle, WA, United States Duration: Jun 4 2013 → Jun 7 2013

Publication series

Name	IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics

Other

Other	11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013
Country/Territory	United States
City	Seattle, WA
Period	6/4/13 → 6/7/13

Keywords

behavior informatics
search behavior
seasonality
smoking

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Access to Document

10.1109/ISI.2013.6578861

Cite this

Zhang, Z., Zheng, X., Zeng, D. D., Cui, K., Luo, C., He, S., & Leischow, S. (2013). Discovering seasonal patterns of smoking behavior using online search information. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics (pp. 371-373). [6578861] (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). https://doi.org/10.1109/ISI.2013.6578861

Discovering seasonal patterns of smoking behavior using online search information. / Zhang, Zhu; Zheng, Xiaolong; Zeng, Daniel Dajun et al.
IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 371-373 6578861 (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics).

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

Zhang, Z, Zheng, X, Zeng, DD, Cui, K, Luo, C, He, S & Leischow, S 2013, Discovering seasonal patterns of smoking behavior using online search information. in IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics., 6578861, IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics, pp. 371-373, 11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013, Seattle, WA, United States, 6/4/13. https://doi.org/10.1109/ISI.2013.6578861

Zhang Z, Zheng X, Zeng DD, Cui K, Luo C, He S et al. Discovering seasonal patterns of smoking behavior using online search information. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 371-373. 6578861. (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). doi: 10.1109/ISI.2013.6578861

Zhang, Zhu ; Zheng, Xiaolong ; Zeng, Daniel Dajun et al. / Discovering seasonal patterns of smoking behavior using online search information. IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. pp. 371-373 (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics).

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abstract = "Discovering temporal patterns and changes in tobacco use has important practical implications in tobacco control. This paper presents one of the first comprehensive international studies of seasonal smoking patterns based on online searches performed. Using periodogram and cross-correlation, we find that smoking-related search behavior shows strong seasonality effect across countries. In addition, there are significant pairwise associations between such seasonality in different countries.",

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Discovering seasonal patterns of smoking behavior using online search information

Abstract

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Other

Keywords

ASJC Scopus subject areas

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