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Volumn 23, Issue 7, 2016, Pages 831-834

Tweet Now, See You In the ED Later? Examining the Association Between Alcohol-related Tweets and Emergency Care Visits

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALCOHOL BLOOD LEVEL; ALCOHOL CONSUMPTION; ARTICLE; CAUCASIAN; EMERGENCY CARE; EMERGENCY HEALTH SERVICE; EMERGENCY WARD; FEMALE; HISPANIC; HUMAN; MAJOR CLINICAL STUDY; MALE; PILOT STUDY; PRIORITY JOURNAL; SOCIAL MEDIA;

EID: 84977657469     PISSN: 10696563     EISSN: 15532712     Source Type: Journal    
DOI: 10.1111/acem.12983     Document Type: Article
Times cited : (7)

References (16)
  • 1
    • 84873449565 scopus 로고    scopus 로고
    • Accessed Mar 4, 2016.
    • About Twitter. Available at: https://about.twitter.com/company. Accessed Mar 4, 2016.
    • About Twitter
  • 3
    • 84922758277 scopus 로고    scopus 로고
    • Psychological language on Twitter predicts county-level heart disease mortality
    • Eichstaedt JC, Schwartz HA, Kern ML, et al. Psychological language on Twitter predicts county-level heart disease mortality. Psychol Sci 2015;26:159–69.
    • (2015) Psychol Sci , vol.26 , pp. 159-169
    • Eichstaedt, J.C.1    Schwartz, H.A.2    Kern, M.L.3
  • 4
    • 84893194019 scopus 로고    scopus 로고
    • Tracking suicide risk factors through Twitter in the US
    • Jashinsky J, Burton SH, Hanson CL, et al. Tracking suicide risk factors through Twitter in the US. Crisis 2014;35:51–9.
    • (2014) Crisis , vol.35 , pp. 51-59
    • Jashinsky, J.1    Burton, S.H.2    Hanson, C.L.3
  • 5
    • 84877338472 scopus 로고    scopus 로고
    • Tweaking and tweeting: exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students
    • Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B . Tweaking and tweeting: exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students. J Med Internet Res 2013;15:e62.
    • (2013) J Med Internet Res , vol.15
    • Hanson, C.L.1    Burton, S.H.2    Giraud-Carrier, C.3    West, J.H.4    Barnes, M.D.5    Hansen, B.6
  • 6
    • 84938253669 scopus 로고    scopus 로고
    • Predicting asthma-related emergency department visits using big data
    • Ram S, Zhang W, Williams M, Pengetnze Y . Predicting asthma-related emergency department visits using big data. IEEE J Biomed Health Inform 2015;19:1216–23.
    • (2015) IEEE J Biomed Health Inform , vol.19 , pp. 1216-1223
    • Ram, S.1    Zhang, W.2    Williams, M.3    Pengetnze, Y.4
  • 8
    • 1542287325 scopus 로고    scopus 로고
    • US emergency department visits for alcohol-related diseases and injuries between 1992 and 2000
    • McDonald AJ 3rd, Wang N, Camargo CA Jr . US emergency department visits for alcohol-related diseases and injuries between 1992 and 2000. Arch Intern Med 2004;164:531–7.
    • (2004) Arch Intern Med , vol.164 , pp. 531-537
    • McDonald, A.J.1    Wang, N.2    Camargo, C.A.3
  • 9
    • 84959160647 scopus 로고    scopus 로고
    • Prevalence of alcohol related attendance at an inner city emergency department and its impact: a dual prospective and retrospective cohort study
    • Parkinson K, Newbury-Birch D, Phillipson A, et al. Prevalence of alcohol related attendance at an inner city emergency department and its impact: a dual prospective and retrospective cohort study. Emerg Med J 2016;33:187–93.
    • (2016) Emerg Med J , vol.33 , pp. 187-193
    • Parkinson, K.1    Newbury-Birch, D.2    Phillipson, A.3
  • 10
    • 84873420692 scopus 로고    scopus 로고
    • Decoding twitter: surveillance and trends for cardiac arrest and resuscitation communication
    • Bosley JC, Zhao NW, Hill S, et al. Decoding twitter: surveillance and trends for cardiac arrest and resuscitation communication. Resuscitation 2013;84:206–12.
    • (2013) Resuscitation , vol.84 , pp. 206-212
    • Bosley, J.C.1    Zhao, N.W.2    Hill, S.3
  • 12
    • 79955757514 scopus 로고    scopus 로고
    • The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic
    • Signorini A, Segre AM, Polgreen PM . The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS One 2011;6:e19467.
    • (2011) PLoS One , vol.6
    • Signorini, A.1    Segre, A.M.2    Polgreen, P.M.3
  • 13
    • 84878996922 scopus 로고    scopus 로고
    • Mapping the global Twitter heartbeat: the geography of Twitter
    • Leetaru K, Wang S, Cao G, Padmanabhan A, Shook E . Mapping the global Twitter heartbeat: the geography of Twitter. First Monday 2013;18(5–6).
    • (2013) First Monday , vol.18 , Issue.5-6
    • Leetaru, K.1    Wang, S.2    Cao, G.3    Padmanabhan, A.4    Shook, E.5
  • 14
    • 84969630142 scopus 로고    scopus 로고
    • Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
    • Oct 13 [Epub ahead of print].
    • Padrez KA, Ungar L, Schwartz HA, et al. Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Qual Saf 2015 Oct 13 [Epub ahead of print].
    • (2015) BMJ Qual Saf
    • Padrez, K.A.1    Ungar, L.2    Schwartz, H.A.3
  • 15
    • 84864276826 scopus 로고    scopus 로고
    • Emergency department patients' preferences for technology-based behavioral interventions
    • Ranney ML, Choo EK, Wang Y, Baum A, Clark MA, Mello MJ . Emergency department patients' preferences for technology-based behavioral interventions. Ann Emerg Med 2012;60(218–27):e248.
    • (2012) Ann Emerg Med , vol.60 , Issue.218-27
    • Ranney, M.L.1    Choo, E.K.2    Wang, Y.3    Baum, A.4    Clark, M.A.5    Mello, M.J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.