Syed Ahmar Shah

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University of Oxford

United Kingdom

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Recent Grants

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Exogenous Sex Steroid Hormones and Asthma Phenotypes: A Population-based Prospective Cohort Study Using UK-Wide Primary Care Databases

Open Date: 2022-10-01

Close Date: 2024-09-01

Grant: Close

Phase 1 COVID-19 Longitudinal Health and Wellbeing: NCS

Open Date: 2021-04-01

Close Date: 2023-03-01

Grant: Close

Predicting unplanned hospital readmission prior to discharge in patients with COVID19

Open Date:

Close Date:

Grant: Close

Machine Learning-based Prognostic Models for Improved Asthma Management Using UK-Wide Electronic Health Records

Open Date:

Close Date:

Articles (13)

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2024

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2022

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2022

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2022

Collaborators (9)

Steven Cummins

Professor of Population Health & NIHR Senior Fellow

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Chris Robertson

Professor

University Of Strathclyde

UNITED KINGDOM

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Chrissy h. Roberts

Associate Professor

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Huiling Tan

University of Oxford

UNITED KINGDOM

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Dario Salvi

Associate senior lecturer in interaction technologies within ubiquitous computing

Malmö University

SWEDEN

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Kevin Tsang

University College London

UNITED KINGDOM

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T. A. Khoa Nguyen

SWITZERLAND

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Josephine-Louise Murray

University of St. Andrews

UNITED KINGDOM

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Srinivasa Katikireddi

University of Glasgow

UNITED KINGDOM

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Syed Ahmar Shah

Research Interests

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Recent Grants

Articles (13)

Trends in inequalities in avoidable hospitalisations across the COVID-19 pandemic: a cohort study of 23.5 million people in England

The UK Soft Drinks Industry Levy and childhood hospital admissions for asthma in England

Effectiveness of mRNA boosters after homologous primary series with BNT162b2 or ChAdOx1 against symptomatic infection and severe COVID-19 in Brazil and Scotland: A test-negative design case–control study

Combining Multimodal Biomarkers to Guide Deep Brain Stimulation Programming in Parkinson Disease

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Impact on emergency and elective hospital-based care in Scotland over the first 12 months of the pandemic: interrupted time-series analysis of national lockdowns

Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol

Impact of COVID-19 pandemic on asthma exacerbations: Retrospective cohort study of over 500,000 patients in a national English primary care database

Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people

Publisher Correction: Development and validation of a multivariable mortality risk prediction model for COPD in primary care

Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review

Development and validation of a multivariable mortality risk prediction model for COPD in primary care

A population-based matched cohort study of early pregnancy outcomes following COVID-19 vaccination and SARS-CoV-2 infection

Collaborators (9)

Steven Cummins

Chris Robertson

Chrissy h. Roberts

Huiling Tan

Dario Salvi

Kevin Tsang

T. A. Khoa Nguyen

Josephine-Louise Murray

Srinivasa Katikireddi

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