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Authorship Correction: A Community-Based Short Message Service Intervention to Improve Mothers’ Feeding Practices for Obesity Prevention: Quasi-Experimental Study

Authorship Correction: A Community-Based Short Message Service Intervention to Improve Mothers’ Feeding Practices for Obesity Prevention: Quasi-Experimental Study

Mothers’ Feeding Practices for Obesity Prevention: Quasi-Experimental Study” (JMIR Mhealth Uhealth 2019;7(6):e13828) wish to change the order of the authors on the publication so that Xu Qian is listed last.The previous order of authorship was as follows:Hong Jiang

Hong Jiang, Mu Li, Li Ming Wen, Louise Baur, Gengsheng He, Xiaoying Ma, Xu Qian

JMIR Mhealth Uhealth 2019;7(7):e15046

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review

[89]; Bryan et al, 2015 [64]; Byrd et al, 2016 [94]; Chorianopoulos et al, 2016 [96]; Garcia-Marti et al, 2017 [97]; Gotz et al, 2014 [76]; Guo et al, 2007 [69]; Hardisty et al, 2010 [100]; Hund et al, 2016 [90]; Ji et al, 2012 [102]; Ji et al, 2013 [81]; Jiang

Jawad Ahmed Chishtie, Jean-Sebastien Marchand, Luke A Turcotte, Iwona Anna Bielska, Jessica Babineau, Monica Cepoiu-Martin, Michael Irvine, Sarah Munce, Sally Abudiab, Marko Bjelica, Saima Hossain, Muhammad Imran, Tara Jeji, Susan Jaglal

J Med Internet Res 2020;22(12):e17892

Tools to Assess the Trustworthiness of Evidence-Based Point-of-Care Information for Health Care Professionals: Systematic Review

Tools to Assess the Trustworthiness of Evidence-Based Point-of-Care Information for Health Care Professionals: Systematic Review

provides guiding principles to understand the risk and potential of health information on the internet for professionals, producers, and consumers, and aims to contribute to high-quality information in this way [18].The Silberg [19], Kapoun [20], Gillois [21], Jiang

Gerlinde Lenaerts, Geertruida E Bekkering, Martine Goossens, Leen De Coninck, Nicolas Delvaux, Sam Cordyn, Jef Adriaenssens, Patrick Vankrunkelsven

J Med Internet Res 2020;22(1):e15415

Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center

Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center

Jiang and Benbasat [37] examined the effects of various online product presentation formats on consumers’ product understanding by specifying two indicators of product understanding performance: consumers’ actual product knowledge and perceived website “diagnosticity

Chulmo Koo, Yulia Wati, Keeho Park, Min Kyung Lim

J Med Internet Res 2011;13(4):e81

Web-Based Privacy-Preserving Multicenter Medical Data Analysis Tools Via Threshold Homomorphic Encryption: Design and Development Study

Web-Based Privacy-Preserving Multicenter Medical Data Analysis Tools Via Threshold Homomorphic Encryption: Design and Development Study

In the current literature, the works most similar to ours are those of Emam et al [18] and Jiang et al [19], which attempt to avoid information leak using methods that differ from ours.

Yao Lu, Tianshu Zhou, Yu Tian, Shiqiang Zhu, Jingsong Li

J Med Internet Res 2020;22(12):e22555

Artificial Intelligence for COVID-19: Rapid Review

Artificial Intelligence for COVID-19: Rapid Review

modeling and prediction of trends relating to COVID-19YesAl-Najjar (2020) [23]Public healthAI-based classifier prediction model to determine the outcome of patientsIdentified key factors influencing clinical outcome, guided public health decision makingNo Jiang

Jiayang Chen, Kay Choong See

J Med Internet Res 2020;22(10):e21476

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review

In addition, a quasi-experimental (pre-post assessment) study by Haug et al (2017) and 2 systematic reviews by Jiang et al (2017) and Kazemi et al (2017) evaluated and critiqued the effectiveness of mobile phone–based prevention programs [218,233,242].Table

Apoorva Milind Pradhan, Leah Park, Fadia T Shaya, Joseph Finkelstein

J Med Internet Res 2019;21(1):e11297