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...
| Main Authors: | , , , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
American Association for the Advancement of Science (AAAS)
2024-01-01
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| 叢編: | Health Data Science |
| 在線閱讀: | https://spj.science.org/doi/10.34133/hds.0127 |