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Rethinking online mental health services in China during the COVID-19 epidemic
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“Researchers have called for such mental health research and policy regulations to serve all individuals more effectively (7,17-20).”
From A proposed framework based on literature review of online contextual mental health services to enhance wellbeing and address psychopathology during covid-19 (2020) · cites this paper as [20]
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“It is crucial to acknowledge the need and advantage of online mental health while being cautious to pay attention to possible disadvantages (8,19,20,24).”
From A proposed framework based on literature review of online contextual mental health services to enhance wellbeing and address psychopathology during covid-19 (2020) · cites this paper as [20]
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Metadata
- Authors
- Yao, H., Chen, J.-H., & Xu, Y.-F.
- Affiliations
- Harvard University (US)
- ORCID
- Venue
- Asian Journal of Psychiatry
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 50
- Pages
- 102015
- ISSN
- 1876-2018 (ISSN-L)
- PMC
- PMC7271098
- OpenAlex
- W3013081579
- Cited by
- 208
- References
- 5
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 8 · 2022: 44 · 2021: 61 · 2020: 86
- FWCI
- 19.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Asian Journal of Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- online mental health services, telepsychiatry, COVID-19 pandemic, mental health service delivery, China
- MeSH terms
- COVID-19, China, Humans, Mental Health Services, Pneumonia, Viral, Coronavirus Infections, Internet, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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