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Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis

Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis

All outcome data used for the meta-analysis were extracted by the same two independent reviewers (J Li and DW). The synthesis of the results and data charting were performed independently by two researchers (SL and J Li). Disagreements were discussed and consulted with a third reviewer (J Liu) to reach consensus. We used the Cochrane Risk of Bias tool (Ro B 2) to assess the risk of bias for each study [30].

Siru Liu, Jili Li, Ding-yuan Wan, Runyi Li, Zhan Qu, Yundi Hu, Jialin Liu

J Med Internet Res 2022;24(9):e38697

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Li et al [22] developed a taxonomy of Weibo posts on COVID-19 topics, and Liao et al [23] analyzed Weibo posts to identify public engagement and government responsiveness. Fadda et al [24] performed a content analysis to examine the extent of vaccine conspiracy theories reflected in tweets. Our study focused on the behavioral intentions related to COVID-19 vaccines, which is different from previous studies that performed a general analysis of COVID-19 tweets or vaccine conspiracy theories.

Siru Liu, Jili Li, Jialin Liu

J Med Internet Res 2021;23(8):e30251