Literature DB >> 33658183

NHS sickness absence during the covid-19 pandemic.

John Appleby1.   

Abstract

Entities:  

Year:  2021        PMID： 33658183     DOI： 10.1136/bmj.n471

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  4 in total

1.  Machine Learning-Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study.

Authors:  Riccardo Doyle
Journal:  JMIRx Med       Date:  2021-10-15

2.  Difference in Pandemic-Related Experiences and Factors Associated with Sickness Absence among Nurses Working in COVID-19 and Non-COVID-19 Departments.

Authors:  Matea Dolić; Vesna Antičević; Krešimir Dolić; Zenon Pogorelić
Journal:  Int J Environ Res Public Health       Date:  2022-01-19       Impact factor: 3.390

3.  Clinician Absences and Contributing Factors During a COVID-19 Surge: Potential Areas for Intervention and Planning.

Authors:  Daniel Grahf; Jad Dandashi; John Deledda; Phyllis Vallee; Taher Vohra
Journal:  West J Emerg Med       Date:  2022-02-14

4.  Practical implementation of a q4-q16 aflibercept treat-and-extend pathway for the treatment of neovascular age-related macular degeneration: Updated guidance from a UK expert panel.

Authors:  Clare Bailey; Peter Cackett; Ajay Kotagiri; Sajjad Mahmood; Evangelos Minos; Nirodhini Narendran; Ashish Patwardhan; Dawn A Sim; Peter Morgan-Warren; Carolyn O'Neil; Katie Straw
Journal:  Eye (Lond)       Date:  2022-10-07       Impact factor: 4.456
  4 in total

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