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dc.contributor.authorZhang, Zhu
dc.contributor.authorZheng, Xiaolong
dc.contributor.authorZeng, Daniel Dajun
dc.contributor.authorLeischow, Scott J
dc.date.accessioned2016-12-06T00:04:10Z
dc.date.available2016-12-06T00:04:10Z
dc.date.issued2016-09-16
dc.identifier.citationTracking Dabbing Using Search Query Surveillance: A Case Study in the United States 2016, 18 (9):e252 Journal of Medical Internet Researchen
dc.identifier.issn1438-8871
dc.identifier.pmid27637361
dc.identifier.doi10.2196/jmir.5802
dc.identifier.urihttp://hdl.handle.net/10150/621512
dc.description.abstractBackground: Dabbing is an emerging method of marijuana ingestion. However, little is known about dabbing owing to limited surveillance data on dabbing. Objective: The aim of the study was to analyze Google search data to assess the scope and breadth of information seeking on dabbing. Methods: Google Trends data about dabbing and related topics (eg, electronic nicotine delivery system [ENDS], also known as e-cigarettes) in the United States between January 2004 and December 2015 were collected by using relevant search terms such as "dab rig." The correlation between dabbing (including topics: dab and hash oil) and ENDS (including topics: vaping and e-cigarette) searches, the regional distribution of dabbing searches, and the impact of cannabis legalization policies on geographical location in 2015 were analyzed. Results: Searches regarding dabbing increased in the United States over time, with 1,526,280 estimated searches during 2015. Searches for dab and vaping have very similar temporal patterns, where the Pearson correlation coefficient (PCC) is .992 (P<.001). Similar phenomena were also obtained in searches for hash oil and e-cigarette, in which the corresponding PCC is .931 (P<.001). Dabbing information was searched more in some western states than other regions. The average dabbing searches were significantly higher in the states with medical and recreational marijuana legalization than in the states with only medical marijuana legalization (P=.02) or the states without medical and recreational marijuana legalization (P=.01). Conclusions: Public interest in dabbing is increasing in the United States. There are close associations between dabbing and ENDS searches. The findings suggest greater popularity of dabs in the states that legalized medical and recreational marijuana use. This study proposes a novel and timely way of cannabis surveillance, and these findings can help enhance the understanding of the popularity of dabbing and provide insights for future research and informed policy making on dabbing.
dc.description.sponsorshipNational Institutes of Health of the United States [5R01DA037378-03]; National Natural Science Foundation of China [71472175, 71621002]en
dc.language.isoenen
dc.publisherJMIR PUBLICATIONS, INCen
dc.relation.urlhttp://www.jmir.org/2016/9/e252/en
dc.rightsCopyright © Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Scott J Leischow. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.09.2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.subjectMarijuanaen
dc.subjectInformation Seeking Behaviorsen
dc.subjectSurveillanceen
dc.subjectsearch engineen
dc.subjectTime Series Analysisen
dc.subjectSpatial Analysisen
dc.titleTracking Dabbing Using Search Query Surveillance: A Case Study in the United Statesen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Management Informat Systen
dc.identifier.journalJournal of Medical Internet Researchen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
refterms.dateFOA2018-06-28T01:25:46Z
html.description.abstractBackground: Dabbing is an emerging method of marijuana ingestion. However, little is known about dabbing owing to limited surveillance data on dabbing. Objective: The aim of the study was to analyze Google search data to assess the scope and breadth of information seeking on dabbing. Methods: Google Trends data about dabbing and related topics (eg, electronic nicotine delivery system [ENDS], also known as e-cigarettes) in the United States between January 2004 and December 2015 were collected by using relevant search terms such as "dab rig." The correlation between dabbing (including topics: dab and hash oil) and ENDS (including topics: vaping and e-cigarette) searches, the regional distribution of dabbing searches, and the impact of cannabis legalization policies on geographical location in 2015 were analyzed. Results: Searches regarding dabbing increased in the United States over time, with 1,526,280 estimated searches during 2015. Searches for dab and vaping have very similar temporal patterns, where the Pearson correlation coefficient (PCC) is .992 (P<.001). Similar phenomena were also obtained in searches for hash oil and e-cigarette, in which the corresponding PCC is .931 (P<.001). Dabbing information was searched more in some western states than other regions. The average dabbing searches were significantly higher in the states with medical and recreational marijuana legalization than in the states with only medical marijuana legalization (P=.02) or the states without medical and recreational marijuana legalization (P=.01). Conclusions: Public interest in dabbing is increasing in the United States. There are close associations between dabbing and ENDS searches. The findings suggest greater popularity of dabs in the states that legalized medical and recreational marijuana use. This study proposes a novel and timely way of cannabis surveillance, and these findings can help enhance the understanding of the popularity of dabbing and provide insights for future research and informed policy making on dabbing.


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Copyright © Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Scott J Leischow. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.09.2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/).
Except where otherwise noted, this item's license is described as Copyright © Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Scott J Leischow. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.09.2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/).