Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries
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Changes in environmental and socioeconomic determinants of child health: a descriptive analysis of spatio-temporal movement patterns of 237,316 children
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Does hot weather affect physical activity and sleep: a retrospective cohort analysis of 90,434 individuals from the UK Biobank
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Humanitarian costs of climate change: mapping the impact of 2022 Pakistan floods on disruption to education and health using earth observation and data fusion
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Predicting malaria outbreaks using earth observation measurements and spatio-temporal deep learning modelling: a South Asia case study from 2000 to 2017
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Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
Conference paper
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Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
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Classification of patients with osteoarthritis through clusters of comorbidities using 633 330 individuals from Spain.
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Changes in air pollution exposure after residential relocation and body mass index in children and adolescents: A natural experiment study.
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Ethnicity differences in risk of cardiovascular events in COVID-19: An England-wide population analysis
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Device-Measured Physical Activity in 3,511 Individuals with Knee or Hip Arthroplasty
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Common comorbidities and COVID-19 mortality: An empirical comparison of primary care alone vs additional hospital data linkage for association analyses
Conference paper
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Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South.
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Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
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Application of machine learning methods in risk assessment of fracture associated with antihypertensives in older people with a large number of confounders
Conference paper
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Causal forests versus inverse probability weighting for addressing cluster-level confounding in medical device and surgical epidemiology: A simulation study
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