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AUKCAR - renewal
Sheikh, Aziz
(Principal Investigator)
Pinnock, Hilary
(Co-investigator)
Tsanas, Thanasis
(Co-investigator)
Deanery of Molecular, Genetic and Population Health Sciences
Data Science and Artificial Intelligence
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/05/19
→
30/04/24
Funding
UK central government bodies/local authorities, health and hospital authorities:
£756,537.00
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Cohort Effect
Medicine and Dentistry
100%
Asthma Exacerbation
Medicine and Dentistry
100%
Primary Health Care
Medicine and Dentistry
100%
COVID-19
Medicine and Dentistry
100%
Patient
Nursing and Health Professions
100%
Synthesis
Nursing and Health Professions
100%
Taxonomy
Nursing and Health Professions
100%
Qualitative Study
Psychology
100%
Research output
Research output per year
2021
2021
2021
2
Article
Research output per year
Research output per year
Effectiveness and perceptions of using templates in long-term condition reviews: a systematic synthesis of quantitative and qualitative studies
Morrissey, M.
,
Shepherd, E.
,
Kinley, E.
,
McClatchey, K.
&
Pinnock, H.
,
1 Sept 2021
,
In:
The British journal of general practice : the journal of the Royal College of General Practitioners.
71
,
710
,
p. e652-e659
8 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Taxonomy
100%
Synthesis
100%
Patient
100%
Quantitative Study
100%
Qualitative Study
100%
Impact of COVID-19 national lockdown on asthma exacerbations: interrupted time-series analysis of English primary care data
Shah, S. A.
,
Quint, J. K.
,
Nwaru, B.
&
Sheikh, A.
,
29 Mar 2021
, (E-pub ahead of print)
In:
Thorax.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Cohort Effect
100%
COVID-19
100%
Primary Health Care
100%
Asthma Exacerbation
100%
Asthma
75%