The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Disability-inclusive COVID-19 response: What it is, why it is important and what we can learn from the United Kingdom’s response
Open accessAbstract
All too often, disabled people are left behind in emergencies, and this is a risk in the ongoing COVID-19 pandemic. This is an important issue, as globally there are approximately one billion people with disabilities. This number includes one in three people aged over 60, who are the group at greatest risk from COVID-19. The COVID-19 pandemic in the UK has highlighted additional difficulties that disabled people may face. Complying with preventative measures, like social distancing, can be challenging, particular for people who rely on carers. Disabled people may also be at greater risk of morbidity and mortality if they contract the virus, yet in danger of being de-prioritised for care. Many people with disabilities have ongoing healthcare needs, and these need to still be supported during the pandemic. Furthermore, people may become newly disabled as a result of the pandemic, and therefore require appropriate care. Good practice examples have emerged for meeting these challenges, such as guidance for healthcare professionals on treating people with dementia, but these need to be scaled up further and adapted for other settings. In conclusion, it is clear that a disability-inclusive COVID-19 response is needed, both in the UK and as the pandemic unfolds globally. This response will require inclusion of disability measures within data collection, consulting with disabled people, and tailoring responses to be appropriate for this group.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Online mental health services in China during the COVID-19 outbreak
Liu, S., Yang, L., Zhang, C., Xiang, Y.-T., Liu, Z., Hu, S., & Zhang, B. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30077-8 · Cited by 1,992
Maunder, R., Lancee, W., Balderson, K., Bennett, J., Borgundvaag, B., Evans, S., Fernandes, C., Goldbloom, D., Gupta, M., Hunter, J., et al. (2006) · Emerging Infectious Diseases · doi:10.3201/eid1212.060584 · Cited by 1,109
Moldofsky, H., & Patcai, J. (2011) · BMC Neurology · doi:10.1186/1471-2377-11-37 · Cited by 604
Cited by
Triple jeopardy: disabled people and the COVID-19 pandemic
Shakespeare, T., Ndagire, F., & Seketi, Q. E. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00625-5 · Cited by 312
Self-citation
Metadata
- Authors
- Kuper, H., Banks, L. M., Bright, T., Davey, C., & Shakespeare, T.
- Venue
- Wellcome Open Research
- Publisher
- F1000 Research Ltd
- Published
- 2020-04-28
- Volume
- 5
- Pages
- 79
- ISSN
- 2398-502X (ISSN-L)
- OpenAlex
- W3023071153
- Cited by
- 178
- References
- 3
- FWCI
- 44.12
- Type
- journal article
- Language
- en
- Open access
- gold
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Disability-inclusive COVID-19 response: What it is, why it is important and what we can learn from the United Kingdom’s response. https://app.cochat.ai/papers/10.12688/wellcomeopenres.15833.1
- The paper
- Kuper, H., Banks, L. M., Bright, T., Davey, C., & Shakespeare, T. (2020). Disability-inclusive COVID-19 response: What it is, why it is important and what we can learn from the United Kingdom’s response. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.15833.1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.