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Part 1: Document Description
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Citation |
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Title: |
Underlying data for: The impact of the Covid-19 pandemic on suicidal behaviour: a living systematic review protocol |
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Identification Number: |
doi:10.7910/DVN/9JYHLS |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2020-05-26 |
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Version: |
2 |
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Bibliographic Citation: |
Ann John; Emily Catherine Eyles; Luke A. McGuinness; Chukwudi Okolie; Babatunde K Olorisade; Schmidt, Lena; Roger T. Webb; Ella Arensman; Keith Hawton; Nav Kapur; Paul Moran; Rory C O’Connor; Siobhan O’Neill; Julian PT Higgins; David Gunnell, 2020, "Underlying data for: The impact of the Covid-19 pandemic on suicidal behaviour: a living systematic review protocol", https://doi.org/10.7910/DVN/9JYHLS, Harvard Dataverse, V2 |
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Citation |
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Title: |
Underlying data for: The impact of the Covid-19 pandemic on suicidal behaviour: a living systematic review protocol |
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Identification Number: |
doi:10.7910/DVN/9JYHLS |
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Authoring Entity: |
Ann John (Swansea University) |
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Emily Catherine Eyles (University of Bristol) |
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Luke A. McGuinness (University of Bristol) |
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Chukwudi Okolie (Swansea University, Cochrane Satellite for Suicide and Self-harm Prevention, Public Health Wales NHS Trust) |
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Babatunde K Olorisade (University of Bristol) |
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Schmidt, Lena (University of Bristol) |
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Roger T. Webb (The University of Manchester) |
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Ella Arensman (University College Cork) |
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Keith Hawton (University Department of Psychiatry, Oxford;Oxford NHS Foundation Trust) |
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Nav Kapur (The University of Manchester, Greater Manchester Mental Health NHS Foundation Trust) |
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Paul Moran (University Hospitals Bristol NHS Foundation Trust and University of Bristol) |
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Rory C O’Connor (University of Glasgow) |
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Siobhan O’Neill (Ulster University) |
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Julian PT Higgins (National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK; National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol NHS Foundation Trust, University of Bristol) |
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David Gunnell (National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Ann John |
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Access Authority: |
Schmidt, Lena |
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Depositor: |
Schmidt, Lena |
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Date of Deposit: |
2020-05-26 |
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Holdings Information: |
https://doi.org/10.7910/DVN/9JYHLS |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, COVID-19, Living systematic review, Suicide, Attempted suicide, Self-harm, Suicidal thoughts |
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Abstract: |
Underlying data for the F1000 article: "The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: protocol for a living systematic review" |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Confidentiality Declaration: |
None |
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Special Permissions: |
None |
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Restrictions: |
None |
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Citation Requirement: |
In accordance with Harvard Dataverse community norms. |
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Deposit Requirement: |
None |
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Conditions: |
None |
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Disclaimer: |
None |
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Notes: |
We apply the CC-By Attribution 4.0 International license to all data within this dataverse. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
The protocol was registered on PROSPERO, ID CRD42020183326: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020183326 |
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Bibliographic Citation: |
The protocol was registered on PROSPERO, ID CRD42020183326: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020183326 |
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Label: |
data_extraction_form.docx |
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Text: |
Displays fields for data extraction, as collected via our screening application |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
lsr_fig1.png |
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Notes: |
image/png |
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Label: |
Prisma.pdf |
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Notes: |
application/pdf |
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Label: |
PROSPERO_registration.pdf |
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Notes: |
application/pdf |
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Label: |
Search.docx |
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Text: |
v2 of the search, added arXiv and explanation of regex search |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |