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Social and Behavioral Sciences Commons

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Old Dominion University

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Full-Text Articles in Social and Behavioral Sciences

Effectiveness Of Wechat-Group-Based Parental Health Education In Preventing Unintentional Injuries Among Children Aged 0-3: Randomized Controlled Trial In Shanghai, Yuheng Feng, Xueqi Ma, Qi Zhang, Ruo Jiang, Jun Lu, Kaiyue Chen, Huiping Wang, Qinghua Xia, Jicui Zheng, Jingwei Xia, Xiaohong Li Jan 2022

Effectiveness Of Wechat-Group-Based Parental Health Education In Preventing Unintentional Injuries Among Children Aged 0-3: Randomized Controlled Trial In Shanghai, Yuheng Feng, Xueqi Ma, Qi Zhang, Ruo Jiang, Jun Lu, Kaiyue Chen, Huiping Wang, Qinghua Xia, Jicui Zheng, Jingwei Xia, Xiaohong Li

Community & Environmental Health Faculty Publications

BACKGROUND: Unintentional injuries to children are a major public health problem. The online social media is a potential way to implement health education for caregivers in online communities. Using WeChat, a free and popular social media service in China, this study evaluated the effectiveness of social online community-based parental health education in preventing unintentional injuries in children aged 0-3.

METHODS: We recruited 365 parents from two community health centers in Shanghai and allocated them into intervention and control groups randomly. Follow-up lasted for one year. The intervention group received and followed their WeChat group and a WeChat official account for …


Temporal And Spatiotemporal Investigation Of Tourist Attraction Visit Sentiment On Twitter, Jose J. Padilla, Hamdi Kavak, Christopher J. Lynch, Ross J. Gore, Saikou Y. Diallo Jun 2018

Temporal And Spatiotemporal Investigation Of Tourist Attraction Visit Sentiment On Twitter, Jose J. Padilla, Hamdi Kavak, Christopher J. Lynch, Ross J. Gore, Saikou Y. Diallo

VMASC Publications

In this paper, we propose a sentiment-based approach to investigate the temporal and spatiotemporal effects on tourists' emotions when visiting a city's tourist destinations. Our approach consists of four steps: data collection and preprocessing from social media; visitor origin identification; visit sentiment identification; and temporal and spatiotemporal analysis. The temporal and spatiotemporal dimensions include day of the year, season of the year, day of the week, location sentiment progression, enjoyment measure, and multi-location sentiment progression. We apply this approach to the city of Chicago using over eight million tweets. Results show that seasonal weather, as well as special days and …