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Thu-Trang Vuong

Researcher at Sciences Po

Publications -  102
Citations -  1740

Thu-Trang Vuong is an academic researcher from Sciences Po. The author has contributed to research in topics: Vietnamese & Population. The author has an hindex of 17, co-authored 100 publications receiving 1216 citations.

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Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study

TL;DR: A first and comprehensive picture of the global efforts directed towards this increasingly important and prolific field of research is offered and the development of global and national protocols and regulations on the justification and adaptation of medical AI products are suggested.
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Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The vietnam lessons

TL;DR: A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items.
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Cultural additivity: behavioural insights from the interaction of Confucianism, Buddhism and Taoism in folktales

TL;DR: In this paper, the authors proposed three models of additivity for religious faiths: no additivity, simple additivity and complex additivity to evaluate how the values and norms of the aforementioned three religions coexist, interact, and influence Vietnamese society.
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Healthcare consumers’ sensitivity to costs: a reflection on behavioural economics from an emerging market

TL;DR: It is shown that uninsured, married and employed individuals are less sensitive to cost than their counterparts because they value the information in reducing future health uncertainty, and the empirical results challenge the objections to periodic health screening by highlighting its utility.
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Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons

TL;DR: A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items as mentioned in this paper.