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Preference of Virtual Reality Games in Psychological Pressure and Depression Treatment: Discrete Choice Experiment

Sawtooth (Sawtooth Software, Inc.) was used to run the coefficients of all attributes and SEs, and t ratios to calculate the P values. For the P value of all levels of attributes, we assumed that if the P value of a level was A latent class analysis was conducted to identify correlations among explicit variables, create the fewest number of classes, and achieve local independence.

Shan Jin, Zijian Tan, Taoran Liu, Sze Ngai Chan, Jie Sheng, Tak-hap Wong, Jian Huang, Casper J P Zhang, Wai-Kit Ming

JMIR Serious Games 2023;11:e34586

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Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching

Statistical significance was set at P For the DCE, a mixed logit model (MXL) was first used to quantify the preferences of the respondents for the attributes and levels of an initial diagnosis of fever during COVID-19 in their trade-off in general.

Yimin Zhang, Taoran Liu, Zonglin He, Sze Ngai Chan, Babatunde Akinwunmi, Jian Huang, Tak-Hap Wong, Casper J P Zhang, Wai-Kit Ming

JMIR Public Health Surveill 2022;8(8):e37422

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Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries

Wai-kit Ming, Fengqiu Huang, Qiuyi Chen, Beiting Liang, Aoao Jiao, Taoran Liu, Huailiang Wu, Babatunde Akinwunmi, Jia Li, Guan Liu, Casper J P Zhang, Jian Huang, Qian Liu

JMIR Public Health Surveill 2021;7(12):e26644

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The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

Reference 23: Weibo 2020 User Development Report(https://weibo.com/ttarticle/p/show?

Zizheng Zhang, Guanrui Feng, Jiahong Xu, Yimin Zhang, Jinhui Li, Jian Huang, Babatunde Akinwunmi, Casper J P Zhang, Wai-kit Ming

JMIR Public Health Surveill 2021;7(11):e32936

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Preferences for Artificial Intelligence Clinicians Before and During the COVID-19 Pandemic: Discrete Choice Experiment and Propensity Score Matching Study

The general MNL model results for the 2017 and 2020 groups are presented in Table 2, which shows estimated average preference weights (ie, effect weights), P values, ORs, and 95% confidence intervals. Generally, individuals in the 2017 and 2020 groups believed that accuracy was the most important diagnosis attribute (Figure 2). The weighted importance value of accuracy was 38.53% in the 2017 group and 40.55% in the 2020 group.

Taoran Liu, Winghei Tsang, Yifei Xie, Kang Tian, Fengqiu Huang, Yanhui Chen, Oiying Lau, Guanrui Feng, Jianhao Du, Bojia Chu, Tingyu Shi, Junjie Zhao, Yiming Cai, Xueyan Hu, Babatunde Akinwunmi, Jian Huang, Casper J P Zhang, Wai-Kit Ming

J Med Internet Res 2021;23(3):e26997

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The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis

Daily confirmed new cases were negatively correlated with average temperature in Beijing (r=–0.565, P Pearson correlation coefficient (r) between daily new COVID-19 cases and meteorological factors. a Not applicable. The final GAM model of daily new COVID-19 cases incorporated date (time-series), average temperature, and mean relative humidity. All estimates and significance levels were listed in Multimedia Appendix 1.

Zonglin He, Yiqiao Chin, Shinning Yu, Jian Huang, Casper J P Zhang, Ke Zhu, Nima Azarakhsh, Jie Sheng, Yi He, Pallavi Jayavanth, Qian Liu, Babatunde O Akinwunmi, Wai-Kit Ming