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Ben S. Cooper

Researcher at University of Oxford

Publications -  256
Citations -  15808

Ben S. Cooper is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Intensive care. The author has an hindex of 57, co-authored 242 publications receiving 12276 citations. Previous affiliations of Ben S. Cooper include Mahidol University & Health Protection Agency.

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The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020

TL;DR: In this paper , the authors used comprehensive national English datasets to determine the number of patients with identified hospital-acquired infections (with symptom onset > 7 days after admission and before discharge) in acute English hospitals up to August 2020.
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Transmission of SARS in three Chinese hospitals.

TL;DR: To quantify the transmissibility of severe acute respiratory syndrome (SARS) in hospitals in mainland China and to assess the effectiveness of control measures.
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Introducing the ORION Statement, a CONSORT equivalent for infection control studies

TL;DR: A symposium at the Hospital Infection Society Conference consisted of three presentations that considered how the most common study design in this field, the interrupted time series, could provide strong levels of evidence if conducted, reported and analysed appropriately.
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Systematic review of isolation policies in the hospital management of methicillinresistant Staphylococcus aureus: A review of the literature with epidemiological and economic modeling

TL;DR: The evidence for the effectiveness of different isolation policies and screening practices in reducing the incidence of methicillin-resistant Staphylococcus aureus colonization and infection in hospital inpatients is reviewed to develop transmission models to study the effectiveness and cost-effectiveness of isolation policies in controlling MRSA.
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Optimising trial designs to identify appropriate antibiotic treatment durations.

TL;DR: Multi-arm designs modelling duration–response curves with the possibility to drop inferior arms during the trial could provide more information about the optimal duration of antibiotic therapies than traditional head-to-head comparisons of limited numbers of durations, while minimising the probability of assigning trial participants to an ineffective treatment regimen.