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Citing this Article

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Published on 16.05.14 in Vol 2, No 2 (2014): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "mHealth 2.0: Experiences, Possibilities, and Perspectives"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3328):

(note that this is only a small subset of citations)

  1. REY-MARTÍNEZ J, ESPINOSA-SÁNCHEZ JM. Diseño y desarrollo de una aplicación para dispositivos móviles para el seguimiento y control de la enfermedad de Ménière. Revista ORL 2019;10(1):11
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  2. Ji X, Wang Y, Ma Y, Hu Z, Man S, Zhang Y, Li K, Yang J, Zhu J, Zhang J, Huang F. Improvement of Disease Management and Cost Effectiveness in Chinese Patients with Ankylosing Spondylitis Using a Smart-Phone Management System: A Prospective Cohort Study. BioMed Research International 2019;2019:1
    CrossRef
  3. Lewis RA, Lunney M, Chong C, Tonelli M. Identifying Mobile Applications Aimed at Self-Management in People With Chronic Kidney Disease. Canadian Journal of Kidney Health and Disease 2019;6:205435811983428
    CrossRef
  4. Devan H, Farmery D, Peebles L, Grainger R. Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e13080
    CrossRef
  5. Thornham H. Algorithmic vulnerabilities and the datalogical: Early motherhood and tracking-as-care regimes. Convergence: The International Journal of Research into New Media Technologies 2019;25(2):171
    CrossRef
  6. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
    CrossRef
  7. Laird EA, Ryan A, McCauley C, Bond RB, Mulvenna MD, Curran KJ, Bunting B, Ferry F, Gibson A. Using Mobile Technology to Provide Personalized Reminiscence for People Living With Dementia and Their Carers: Appraisal of Outcomes From a Quasi-Experimental Study. JMIR Mental Health 2018;5(3):e57
    CrossRef
  8. Codella J, Partovian C, Chang H, Chen C. Data quality challenges for person-generated health and wellness data. IBM Journal of Research and Development 2018;62(1):3:1
    CrossRef
  9. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455
    CrossRef
  10. Ravn Jakobsen P, Hermann A, Søndergaard J, Wiil U, Clemensen J. Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach. International Journal of Environmental Research and Public Health 2018;15(2):330
    CrossRef
  11. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182
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  12. Gutfraind A, Peterson JK, Billig Rose E, Arevalo-Nieto C, Sheen J, Condori-Luna GF, Tankasala N, Castillo-Neyra R, Condori-Pino C, Anand P, Naquira-Velarde C, Levy MZ, Basáñez M. Integrating evidence, models and maps to enhance Chagas disease vector surveillance. PLOS Neglected Tropical Diseases 2018;12(11):e0006883
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  13. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103
    CrossRef
  14. Kanthawala S, Joo E, Kononova A, Peng W, Cotten S. Folk theorizing the quality and credibility of health apps. Mobile Media & Communication 2018;:205015791879685
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  15. Chu H, Liu Y, Kuo F. A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e11557
    CrossRef
  16. da Costa CA, Pasluosta CF, Eskofier B, da Silva DB, da Rosa Righi R. Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards. Artificial Intelligence in Medicine 2018;89:61
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  17. Chae J. A Comprehensive Profile of Those Who Have Health-Related Apps. Health Education & Behavior 2018;45(4):591
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  18. Gartland KM, Gartland JS. Opportunities in biotechnology. Journal of Biotechnology 2018;282:38
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  19. Song M, Kanaoka H. Effectiveness of mobile application for menstrual management of working women in Japan: randomized controlled trial and medical economic evaluation. Journal of Medical Economics 2018;21(11):1131
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  20. Dallinga J, Janssen M, van der Werf J, Walravens R, Vos S, Deutekom M. Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach. JMIR mHealth and uHealth 2018;6(6):e143
    CrossRef
  21. Tutelman PR, Chambers CT, Stinson JN, Parker JA, Barwick M, Witteman HO, Jibb L, Stinson HC, Fernandez CV, Nathan PC, Campbell F, Irwin K. The Implementation Effectiveness of a Freely Available Pediatric Cancer Pain Assessment App: A Pilot Implementation Study. JMIR Cancer 2018;4(2):e10280
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  22. Aamir J, Ali SM, Kamel Boulos MN, Anjum N, Ishaq M. Enablers and inhibitors: A review of the situation regarding mHealth adoption in low- and middle-income countries. Health Policy and Technology 2018;7(1):88
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  23. Molina MD, Sundar SS. Can Mobile Apps Motivate Fitness Tracking? A Study of Technological Affordances and Workout Behaviors. Health Communication 2018;:1
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  24. Similä H, Immonen M, Toska-Tervola J, Enwald H, Keränen N, Kangas M, Jämsä T, Korpelainen R. Feasibility of mobile mental wellness training for older adults. Geriatric Nursing 2018;39(5):499
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  25. Rasche P, Wille M, Bröhl C, Theis S, Schäfer K, Knobe M, Mertens A. Prevalence of Health App Use Among Older Adults in Germany: National Survey. JMIR mHealth and uHealth 2018;6(1):e26
    CrossRef
  26. Dale LP, White L, Mitchell M, Faulkner G. Smartphone app uses loyalty point incentives and push notifications to encourage influenza vaccine uptake. Vaccine 2018;
    CrossRef
  27. Serrano KJ, Coa KI, Yu M, Wolff-Hughes DL, Atienza AA. Characterizing user engagement with health app data: a data mining approach. Translational Behavioral Medicine 2017;7(2):277
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  28. Hassandra M, Lintunen T, Hagger MS, Heikkinen R, Vanhala M, Kettunen T. An mHealth App for Supporting Quitters to Manage Cigarette Cravings With Short Bouts of Physical Activity: A Randomized Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(5):e74
    CrossRef
  29. Lanssens D, Vandenberk T, Thijs IM, Grieten L, Gyselaers W. Effectiveness of Telemonitoring in Obstetrics: Scoping Review. Journal of Medical Internet Research 2017;19(9):e327
    CrossRef
  30. Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526
    CrossRef
  31. Loiselle CG, Ahmed S. Is Connected Health Contributing to a Healthier Population?. Journal of Medical Internet Research 2017;19(11):e386
    CrossRef
  32. DiFilippo KN, Huang W, Chapman-Novakofski KM. A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing. JMIR mHealth and uHealth 2017;5(10):e163
    CrossRef
  33. Ernsting C, Dombrowski SU, Oedekoven M, O´Sullivan JL, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101
    CrossRef
  34. Grainger R, Townsley H, White B, Langlotz T, Taylor WJ. Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality. JMIR mHealth and uHealth 2017;5(2):e7
    CrossRef
  35. Govorko MH, Fritschi L, White J, Reid A. Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App. JMIR Formative Research 2017;1(1):e7
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  36. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513
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  37. Dobson R, Whittaker R, Pfaeffli Dale L, Maddison R. The effectiveness of text message-based self-management interventions for poorly-controlled diabetes: A systematic review. DIGITAL HEALTH 2017;3:205520761774031
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  38. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64
    CrossRef
  39. Jusob FR, George C, Mapp G. Exploring the need for a suitable privacy framework for mHealth when managing chronic diseases. Journal of Reliable Intelligent Environments 2017;3(4):243
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  40. Litterbach E, Russell CG, Taki S, Denney-Wilson E, Campbell KJ, Laws RA. Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program. JMIR mHealth and uHealth 2017;5(12):e196
    CrossRef
  41. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251
    CrossRef
  42. Zens M, Woias P, Suedkamp NP, Niemeyer P. “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework. JMIR mHealth and uHealth 2017;5(2):e23
    CrossRef
  43. del Río-Lanza A, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health services in haemophilia: opportunities and risks. Haemophilia 2017;23(4):e378
    CrossRef
  44. Yan BP, Chan CK, Li CK, To OT, Lai WH, Tse G, Poh YC, Poh M. Resting and Postexercise Heart Rate Detection From Fingertip and Facial Photoplethysmography Using a Smartphone Camera: A Validation Study. JMIR mHealth and uHealth 2017;5(3):e33
    CrossRef
  45. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61
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  46. Sucala M, Cuijpers P, Muench F, Cardoș R, Soflau R, Dobrean A, Achimas-Cadariu P, David D. Anxiety: There is an app for that. A systematic review of anxiety apps. Depression and Anxiety 2017;34(6):518
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  47. Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
    CrossRef
  48. Steele Gray C, Gill A, Khan AI, Hans PK, Kuluski K, Cott C. The Electronic Patient Reported Outcome Tool: Testing Usability and Feasibility of a Mobile App and Portal to Support Care for Patients With Complex Chronic Disease and Disability in Primary Care Settings. JMIR mHealth and uHealth 2016;4(2):e58
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  49. Krieger WH. When are medical apps medical? Off-label use and the Food and Drug Administration. DIGITAL HEALTH 2016;2:205520761666278
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  50. White B, White J, Giglia R, Tawia S. Feed Safe: a multidisciplinary partnership approach results in a successful mobile application for breastfeeding mothers. Health Promotion Journal of Australia 2016;27(2):111
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  51. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
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  52. Steele Gray C, Khan AI, Kuluski K, McKillop I, Sharpe S, Bierman AS, Lyons RF, Cott C. Improving Patient Experience and Primary Care Quality for Patients With Complex Chronic Disease Using the Electronic Patient-Reported Outcomes Tool: Adopting Qualitative Methods Into a User-Centered Design Approach. JMIR Research Protocols 2016;5(1):e28
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  53. Woods SS, Evans NC, Frisbee KL. Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications. Journal of the American Medical Informatics Association 2016;23(3):491
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  54. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
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  55. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
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  56. Mertens A, Brandl C, Miron-Shatz T, Schlick C, Neumann T, Kribben A, Meister S, Diamantidis CJ, Albrecht U, Horn P, Becker S. A mobile application improves therapy-adherence rates in elderly patients undergoing rehabilitation. Medicine 2016;95(36):e4446
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  57. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
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  58. White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of the Milk Man mobile app. Health Promotion Journal of Australia 2016;27(3):198
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  59. Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. Journal of Medical Internet Research 2016;18(5):e97
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  60. Zens M, Südkamp NP, Niemeyer P. „Back on Track“: Kreuzbandstudie via Smartphone. Arthroskopie 2016;29(4):225
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  61. Laws RA, Litterbach EV, Denney-Wilson EA, Russell CG, Taki S, Ong K, Elliott RM, Lymer SJ, Campbell KJ. A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. Journal of Medical Internet Research 2016;18(9):e248
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  62. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1)
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  63. Shukla SN, Sharma J. Potential of mHealth to Transform Healthcare in India. Journal of Health Management 2016;18(3):447
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  64. Johnson K, Richards S, Chih M, Moon TJ, Curtis H, Gustafson DH. A Pilot Test of a Mobile App for Drug Court Participants. Substance Abuse: Research and Treatment 2016;10:SART.S33390
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  65. Larrosa F, Rama-Lopez J, Benitez J, Morales JM, Martinez A, Alañon MA, Arancibia-Tagle D, Batuecas-Caletrio A, Martinez-Lopez M, Perez-Fernandez N, Gimeno C, Ispizua A, Urrutikoetxea A, Rey-Martinez J. Development and evaluation of an audiology app for iPhone/iPad mobile devices. Acta Oto-Laryngologica 2015;135(11):1119
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  66. Stellefson M, Alber JM, Wang MQ, Eddy JM, Chaney BH, Chaney JD. Use of Health Information and Communication Technologies to Promote Health and Manage Behavioral Risk Factors Associated With Chronic Disease: Applications in the Field of Health Education. American Journal of Health Education 2015;46(4):185
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  67. DeMonte CM, DeMonte WD, Thorn BE. Future implications of eHealth interventions for chronic pain management in underserved populations. Pain Management 2015;5(3):207
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  68. Gay V, Leijdekkers P. Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability. Journal of Medical Internet Research 2015;17(11):e260
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  69. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6
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  71. Waller A, Forshaw K, Carey M, Robinson S, Kerridge R, Proietto A, Sanson-Fisher R. Optimizing Patient Preparation and Surgical Experience Using eHealth Technology. JMIR Medical Informatics 2015;3(3):e29
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  72. Subhi Y, Bube SH, Rolskov Bojsen S, Skou Thomsen AS, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3328)

:
  1. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2019. Chapter 30-1:1
    CrossRef
  2. Nizamuddin I, Basra R, Vanam S, Pirani N. Optimizing Medical Education With Instructional Technology. 2019. chapter 9:156
    CrossRef
  3. Gabel A, Schiering I, Müller SV, Ertas F. Privacy and Identity Management. The Smart Revolution. 2018. Chapter 22:330
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  4. Bonnin J, Gay V, Weis F. Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. 2018. Chapter 12:134
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  5. Doğanyiğit S. Current and Emerging mHealth Technologies. 2018. Chapter 4:37
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  6. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. 2018. Chapter 10:153
    CrossRef
  7. Eren PE, Gökalp E. Current and Emerging mHealth Technologies. 2018. Chapter 11:167
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  8. Haak D, Deserno V, Deserno T. Informationsmanagement und Kommunikation in der Medizin. 2017. Chapter 48:145
    CrossRef
  9. Mertens A, Becker S, Theis S, Rasche P, Wille M, Bröhl C, Finken L, Schlick C. Advances in Human Factors and Ergonomics in Healthcare. 2017. Chapter 28:295
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  10. Haak D, Deserno V, Deserno T. Medizintechnik. 2017. Chapter 48:893
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  11. Big Data and Ethics. 2016. :267
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  12. Haak D, Deserno V, (geb.Lehmann) TD. Medizintechnik. 2015. Chapter 48-1:1
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