Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing

Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing

Background: The COVID-19 pandemic has caused a disproportionate impact on the sexual and gender-diverse (SGD) community. Compared with non-SGD populations, their social relations and health status are more vulnerable, whereas public health data regarding SGD are scarce. Methods: To analyze the conce...

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Detalles Bibliográficos
Main Authors: Zhiyun Zhang, Yining Hua, Peilin Zhou, Shixu Lin, Minghui Li, Yujie Zhang, Li Zhou, Yanhui Liao, Jie Yang
Formato: Artigo
Idioma:English
Publicado: American Association for the Advancement of Science (AAAS) 2024-01-01
Series:Health Data Science
Acceso en liña:https://spj.science.org/doi/10.34133/hds.0127

Internet

https://spj.science.org/doi/10.34133/hds.0127

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