Published on 19.12.11 in Vol 13, No 4 (2011): Oct-Dec
Works citing "Online Social Networks and Smoking Cessation: A Scientific Research Agenda"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1911):
(note that this is only a small subset of citations)
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Lefebvre RC, Bornkessel AS. Digital Social Networks and Health. Circulation 2013;127(17):1829
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Dallery J, Raiff BR, Grabinski MJ. Internet-based contingency management to promote smoking cessation: A randomized controlled study. Journal of Applied Behavior Analysis 2013;46(4):750
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Barlow J, Gray R, Bick D, Chang Y. Health in pregnancy and post-birth: contribution to improved child outcomes. Journal of Children's Services 2014;9(2):109
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Cobb NK, Poirier J. Implementation of an online pragmatic randomized controlled trial: a methodological case study. Translational Behavioral Medicine 2013;3(3):295
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Stearns M, Nambiar S, Nikolaev A, Semenov A, McIntosh S. Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics 2014;3(1)
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van Agteren JEM, Lawn S, Bonevski B, Smith BJ. Kick.it: The development of an evidence-based smoking cessation smartphone app. Translational Behavioral Medicine 2018;8(2):243
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Kwon BC, Kim S, Lee S, Choo J, Huh J, Yi JS. VisOHC: Designing Visual Analytics for Online Health Communities. IEEE Transactions on Visualization and Computer Graphics 2016;22(1):71
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Jacobs MA, Cobb CO, Abroms L, Graham AL. Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines. Journal of Medical Internet Research 2014;16(9):e205
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Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2017;24(5):703
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Graham AL, Papandonatos GD, Cobb CO, Cobb NK, Niaura RS, Abrams DB, Tinkelman DG. Internet and Telephone Treatment for Smoking Cessation: Mediators and Moderators of Short-Term Abstinence. Nicotine & Tobacco Research 2015;17(3):299
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TAKADA A, TAKAHASHI Y, NISHIMURA S, KOSUGI S. DEVELOPMENT AND VALIDATION OF A SHORT SCALE TO MEASURE HOW SOCIAL RELATIONSHIPS SUPPORT THE CONTINUOUS AND CONSCIOUS ENDEAVOUR TO LOSE WEIGHT. Journal of Biosocial Science 2014;46(5):561
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Paul MJ, Chisolm MS, Johnson MW, Vandrey RG, Dredze M. Assessing the Validity of Online Drug Forums as a Source for Estimating Demographic and Temporal Trends in Drug Use. Journal of Addiction Medicine 2016;10(5):324
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Meenakshi SP, Sivakumar P, Ilango P. Effective Health Promotion Interventions for Targeted Audience using Social Networking Sites: A Systematic Review. Indian Journal of Science and Technology 2017;10(36):1
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Jiang S, Beaudoin CE. Smoking Prevention in China: A Content Analysis of an Anti-Smoking Social Media Campaign. Journal of Health Communication 2016;21(7):755
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Borrelli B, Bartlett YK, Tooley E, Armitage CJ, Wearden A. Prevalence and Frequency of mHealth and eHealth Use Among US and UK Smokers and Differences by Motivation to Quit. Journal of Medical Internet Research 2015;17(7):e164
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Cobb NK, Graham AL. Health Behavior Interventions in the Age of Facebook. American Journal of Preventive Medicine 2012;43(5):571
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Struik LL, Baskerville NB. The Role of Facebook in Crush the Crave, a Mobile- and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts. Journal of Medical Internet Research 2014;16(7):e170
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Patten CA, Boyle R, Tinkelman D, Brockman TA, Lukowski A, Decker PA, D’Silva J, Lichtenstein E, Zhu S. Linking smokers to a quitline: randomized controlled effectiveness trial of a support person intervention that targets non-smokers. Health Education Research 2017;32(4):318
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Cobb NK, Poirier J. Effectiveness of a Multimodal Online Well-Being Intervention. American Journal of Preventive Medicine 2014;46(1):41
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van Mierlo T, Hyatt D, Ching AT. Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1)
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Sinicrope PS, Koller KR, Prochaska JJ, Hughes CA, Bock MJ, Decker PA, Flanagan CA, Merritt ZT, Meade CD, Willetto AL, Resnicow K, Thomas TK, Patten CA. Social Media Intervention to Promote Smoking Treatment Utilization and Cessation Among Alaska Native People Who Smoke: Protocol for the Connecting Alaska Native People to Quit Smoking (CAN Quit) Pilot Study. JMIR Research Protocols 2019;8(11):e15155
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Larsen KR, Michie S, Hekler EB, Gibson B, Spruijt-Metz D, Ahern D, Cole-Lewis H, Ellis RJB, Hesse B, Moser RP, Yi J. Behavior change interventions: the potential of ontologies for advancing science and practice. Journal of Behavioral Medicine 2017;40(1):6
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Brabham DC, Ribisl KM, Kirchner TR, Bernhardt JM. Crowdsourcing Applications for Public Health. American Journal of Preventive Medicine 2014;46(2):179
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Duke JC, Hansen H, Kim AE, Curry L, Allen J. The Use of Social Media by State Tobacco Control Programs to Promote Smoking Cessation: A Cross-Sectional Study. Journal of Medical Internet Research 2014;16(7):e169
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. Community Management That Works: How to Build and Sustain a Thriving Online Health Community. Journal of Medical Internet Research 2013;15(6):e119
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Zhang Z, Zheng X, Zeng DD, Leischow SJ, Preis T. Information Seeking Regarding Tobacco and Lung Cancer: Effects of Seasonality. PLOS ONE 2015;10(3):e0117938
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Jane M, Hagger M, Foster J, Ho S, Pal S. Social media for health promotion and weight management: a critical debate. BMC Public Health 2018;18(1)
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Cutrona SL, Wagner J, Roblin DW, Gaglio B, Williams A, Torres-Stone R, Mazor KM. E-mail to Promote Colorectal Cancer Screening Within Social Networks: Acceptability and Content. Journal of Health Communication 2015;20(5):589
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Chen AT, Zhu S, Conway M. What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques. Journal of Medical Internet Research 2015;17(9):e220
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Patten CA, Goggin K, Harris KJ, Richter KP, Williams K, Decker PA, Bradley-Ewing A, Catley D. Relationship of autonomy social support to quitting motivation in diverse smokers. Addiction Research & Theory 2016;24(6):477
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Cutrona SL, Roblin DW, Wagner JL, Gaglio B, Williams AE, Torres Stone R, Field TS, Mazor KM. Adult Willingness to Use Email and Social Media for Peer-to-Peer Cancer Screening Communication: Quantitative Interview Study. JMIR Research Protocols 2013;2(2):e52
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Guilbeault D, Centola D, Zollo F. Networked collective intelligence improves dissemination of scientific information regarding smoking risks. PLOS ONE 2020;15(2):e0227813
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Granell C, Fernández B, Díaz L. Geospatial information infrastructures to address spatial needs in health: Collaboration, challenges and opportunities. Future Generation Computer Systems 2014;31:213
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Brandt CL, Dalum P, Skov-Ettrup L, Tolstrup JS. “After all – It doesn’t kill you to quit smoking”: An explorative analysis of the blog in a smoking cessation intervention. Scandinavian Journal of Public Health 2013;41(7):655
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van Mierlo T, Li X, Hyatt D, Ching AT. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40
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Cobb NK, Mays D, Graham AL. Sentiment Analysis to Determine the Impact of Online Messages on Smokers' Choices to Use Varenicline. JNCI Monographs 2013;2013(47):224
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Ploderer B, Smith W, Pearce J, Borland R. An Object-Centred Approach to Encourage Online Participation in the Context of Behaviour Change. Computer Supported Cooperative Work (CSCW) 2015;24(1):39
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Kontos E, Blake KD, Chou WS, Prestin A. Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012. Journal of Medical Internet Research 2014;16(7):e172
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Graham AL, Fang Y, Moreno JL, Streiff SL, Villegas J, Muñoz RF, Tercyak KP, Mandelblatt JS, Vallone DM. Online Advertising to Reach and Recruit Latino Smokers to an Internet Cessation Program: Impact and Costs. Journal of Medical Internet Research 2012;14(4):e116
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Graham AL, Papandonatos GD, Cha S, Erar B, Amato MS, Cobb NK, Niaura RS, Abrams DB. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial. Nicotine & Tobacco Research 2016;:ntw282
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Haines-Saah RJ, Kelly MT, Oliffe JL, Bottorff JL. Picture Me Smokefree: A Qualitative Study Using Social Media and Digital Photography to Engage Young Adults in Tobacco Reduction and Cessation. Journal of Medical Internet Research 2015;17(1):e27
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Gittelsohn J, Jock B, Redmond L, Fleischhacker S, Eckmann T, Bleich SN, Loh H, Ogburn E, Gadhoke P, Swartz J, Pardilla M, Caballero B. OPREVENT2: Design of a multi-institutional intervention for obesity control and prevention for American Indian adults. BMC Public Health 2017;17(1)
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Myneni S, Cobb N, Cohen T. In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community. Journal of Medical Internet Research 2016;18(2):e28
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Graham AL, Zhao K, Papandonatos GD, Erar B, Wang X, Amato MS, Cha S, Cohn AM, Pearson JL, Amblard F. A prospective examination of online social network dynamics and smoking cessation. PLOS ONE 2017;12(8):e0183655
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Taufa N, Laumatia A, Marsh S, Walker N, Whittaker R, Bullen C. Online Smoking Cessation Advertising and Young Pacific Smokers in New Zealand. Journal of Smoking Cessation 2018;13(2):92
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Rumsfeld JS, Brooks SC, Aufderheide TP, Leary M, Bradley SM, Nkonde-Price C, Schwamm LH, Jessup M, Ferrer JME, Merchant RM. Use of Mobile Devices, Social Media, and Crowdsourcing as Digital Strategies to Improve Emergency Cardiovascular Care. Circulation 2016;134(8)
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Sadasivam RS, Cutrona SL, Luger TM, Volz E, Kinney R, Rao SR, Allison JJ, Houston TK. Share2Quit: Online Social Network Peer Marketing of Tobacco Cessation Systems. Nicotine & Tobacco Research 2016;:ntw187
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Crouch E, Gordon NP. Prevalence and Factors Influencing Use of Internet and Electronic Health Resources by Middle-Aged and Older Adults in a US Health Plan Population: Cross-Sectional Survey Study. JMIR Aging 2019;2(1):e11451
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Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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Herbec A, Beard E, Brown J, Gardner B, Tombor I, West R. The needs and preferences of pregnant smokers regarding tailored Internet-based smoking cessation interventions: a qualitative interview study. BMC Public Health 2014;14(1)
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Baskerville NB, Azagba S, Norman C, McKeown K, Brown KS. Effect of a Digital Social Media Campaign on Young Adult Smoking Cessation. Nicotine & Tobacco Research 2016;18(3):351
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Hartzler AL, BlueSpruce J, Catz SL, McClure JB. Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives. JMIR mHealth and uHealth 2016;4(3):e95
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Bian J, Yoshigoe K, Hicks A, Yuan J, He Z, Xie M, Guo Y, Prosperi M, Salloum R, Modave F, Yao L. Mining Twitter to Assess the Public Perception of the “Internet of Things”. PLOS ONE 2016;11(7):e0158450
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Healey B, Hoek J, Edwards R, Shahab L. Posting Behaviour Patterns in an Online Smoking Cessation Social Network: Implications for Intervention Design and Development. PLoS ONE 2014;9(9):e106603
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Post SD, Taylor SC, Sanders AE, Goldfarb JM, Hunt YM, Augustson EM. If You Build (and Moderate) It, They Will Come: The Smokefree Women Facebook Page. JNCI Monographs 2013;2013(47):206
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Meng Y, Elkaim L, Wang J, Liu J, Alotaibi NM, Ibrahim GM, Fallah A, Weil AG, Valiante TA, Lozano AM, Rutka JT. Social media in epilepsy: A quantitative and qualitative analysis. Epilepsy & Behavior 2017;71:79
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Myneni S, Fujimoto K, Cobb N, Cohen T. Content-Driven Analysis of an Online Community for Smoking Cessation: Integration of Qualitative Techniques, Automated Text Analysis, and Affiliation Networks. American Journal of Public Health 2015;105(6):1206
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Rocheleau M, Sadasivam RS, Baquis K, Stahl H, Kinney RL, Pagoto SL, Houston TK. An Observational Study of Social and Emotional Support in Smoking Cessation Twitter Accounts: Content Analysis of Tweets. Journal of Medical Internet Research 2015;17(1):e18
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Pérez-Aldana CA, Lewinski AA, Johnson CM, Vorderstrasse AA, Myneni S. Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis. JMIR Diabetes 2021;6(1):e21611
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Sujon M, Dai F. Social Media Mining for Understanding Traffic Safety Culture in Washington State Using Twitter Data. Journal of Computing in Civil Engineering 2021;35(1)
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Martillano DA, Barrameda AP, Domondon KJM, Rioflorido JKL. Determining Smokers’ Quitting Behavior Patterns for Multi-level Intervention of a Smoking Cessation Program. Journal of Advances in Information Technology 2020;11(4):200
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Merculieff ZT, Koller KR, Sinicrope PS, Hughes CA, Bock MJ, Decker PA, Resnicow K, Flanagan CA, Meade CD, McConnell CR, Prochaska JJ, Thomas TK, Patten CA. Developing a Social Media Intervention to Connect Alaska Native People Who Smoke with Resources and Support to Quit Smoking: The Connecting Alaska Native Quit Study. Nicotine & Tobacco Research 2021;23(6):1002
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Derksen ME, Kunst AE, Murugesu L, Jaspers MW, Fransen MP. Smoking cessation among disadvantaged young women during and after pregnancy: Exploring the role of social networks. Midwifery 2021;98:102985
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Singh T, Roberts K, Cohen T, Cobb N, Franklin A, Myneni S. Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework. Journal of Biomedical Informatics 2023;140:104324
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Scarano Pereira JP, Martinino A, Manicone F, Scarano Pereira ML, Iglesias Puzas , Pouwels S, Martínez JM. Bariatric surgery on social media: A cross-sectional study. Obesity Research & Clinical Practice 2022;16(2):158
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Sinicrope PS, Young CD, Resnicow K, Merritt ZT, McConnell CR, Hughes CA, Koller KR, Bock MJ, Decker PA, Flanagan CA, Meade CD, Thomas TK, Prochaska JJ, Patten CA. Lessons Learned From Beta-Testing a Facebook Group Prototype to Promote Treatment Use in the “Connecting Alaska Native People to Quit Smoking” (CAN Quit) Study. Journal of Medical Internet Research 2022;24(2):e28704
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De Santo A, Moro A, Kocher B, Holzer A. Helping Each Other Quit Online: Understanding User Engagement and Real-life Outcomes of the r/StopSmoking Digital Smoking Cessation Community. ACM Transactions on Social Computing 2023;6(1-2):1
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Singh T, Truong M, Roberts K, Myneni S. Sequencing conversational turns in peer interactions: An integrated approach for evidence-based conversational agent for just-in-time nicotine cravings intervention. DIGITAL HEALTH 2024;10
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Stapleton JL, Manne SL, Pagoto SL, Leip A, Greene K, Hillhouse JJ, Merritt AS, Shelton BJ. A Social Media–Delivered Melanoma Prevention Program for Young Women Engaged in Frequent UV Tanning: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e56562
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1911):
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Graham AL, Cobb CO, Cobb NK. Handbook of Health Decision Science. 2016. Chapter 24:335
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Myneni S, Iyengar S, Cobb NK, Cohen T. Persuasive Technology. 2013. Chapter 19:155
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Subramani S, Michalska S, Wang H, Whittaker F, Heyward B. Health Information Science. 2018. Chapter 12:134
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. Well-Being in the Information Society. Fruits of Respect. 2020. Chapter 8:112
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Chew RF, Kim A, Chen V, Ruddle P, Morgan-Lopez A. Social, Cultural, and Behavioral Modeling. 2018. Chapter 32:286
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