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Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19–a data-driven retrospective cohort study

section { background: white; color: black; border-radius: 1em; padding: 1em; left: 50% } #inner { display: inline-block; display: flex; align-items: center; justify-content: center } Twitter thread by Prof Ami Banerjee summarising key results

Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales

section { background: white; color: black; border-radius: 1em; padding: 1em; left: 50% } #inner { display: inline-block; display: flex; align-items: center; justify-content: center } 📺 BHF Data Science Centre seminar by Dr Samantha Ip & Dr Hoda Abbasizanjani

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

section { background: white; color: black; border-radius: 1em; padding: 1em; left: 50% } #inner { display: inline-block; display: flex; align-items: center; justify-content: center } Twitter thread summarising key results

Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort

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Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis

section { background: white; color: black; border-radius: 1em; padding: 1em; left: 50% } #inner { display: inline-block; display: flex; align-items: center; justify-content: center } Twitter thread by Deepti Gurdasani

Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource

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‘Shielded’ anaesthetists and intensivists during the COVID‐19 pandemic

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