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Ava Easton

Researcher at University of Liverpool

Publications -  55
Citations -  3235

Ava Easton is an academic researcher from University of Liverpool. The author has contributed to research in topics: Encephalitis & Medicine. The author has an hindex of 12, co-authored 37 publications receiving 2163 citations. Previous affiliations of Ava Easton include National Institute for Health Research.

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Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study.

Aravinthan Varatharaj, +125 more
TL;DR: This is the first nationwide, cross-specialty surveillance study of acute neurological and psychiatric complications of COVID-19 and provides valuable and timely data that are urgently needed by clinicians, researchers, and funders.
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Neurological Associations of COVID-19

TL;DR: The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of a scale not seen since the 1918 influenza pandemic and the proportion of infections leading to neurological disease will probably remain small.
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Neurological Associations of COVID-19

TL;DR: The COVID-19 pandemic, caused by SARS-CoV-2, is of a scale not seen since the 1918 influenza pandemic and so much of the population infected, the overall number of neurological patients, and their associated health, social and economic costs, may be large.
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Management of suspected viral encephalitis in adults – Association of British Neurologists and British Infection Association National Guidelines

TL;DR: A group of clinicians met in Liverpool in February 2008 to begin the development process for clinical care guidelines based around a similar simple algorithm, supported by an evidence base, whose implementation is hoped would improve the management of patients with suspected encephalitis.
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Management of suspected viral encephalitis in children - Association of British Neurologists and British Paediatric Allergy, Immunology and Infection Group national guidelines.

TL;DR: A group of clinicians met in Liverpool in February 2008 to begin the development process for clinical care guidelines based around a similar simple algorithm, supported by an evidence base, whose implementation is hoped would improve the management of patients with suspected encephalitis.