2021
DOI: 10.1016/j.jhin.2020.12.020
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Nosocomial influenza in south-western Swiss hospitals during two seasonal epidemics: an observational study

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Cited by 4 publications
(3 citation statements)
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“…In a well-designed prospective observational analysis, Qalla—Widmer and co-workers confirmed the general findings of Godoy et al [ 14 , 15 ]. Across over 5000 subjects hospitalized for influenza, these researchers identified 836 instances where influenza infection began more than 72 h after hospital admission [ 15 ]. This resulted in an incidence of 0.5 influenza NP cases per 1000 hospitalizations.…”
Section: Studies Of Specific Virusessupporting
confidence: 70%
“…In a well-designed prospective observational analysis, Qalla—Widmer and co-workers confirmed the general findings of Godoy et al [ 14 , 15 ]. Across over 5000 subjects hospitalized for influenza, these researchers identified 836 instances where influenza infection began more than 72 h after hospital admission [ 15 ]. This resulted in an incidence of 0.5 influenza NP cases per 1000 hospitalizations.…”
Section: Studies Of Specific Virusessupporting
confidence: 70%
“…In the UK alone, excess influenza deaths are modelled to exceed 20,000 during some seasons [2] , around 95% of which occur in those aged over 65 [3] . In one Swiss region, 0.5% of all admissions received a diagnosis of nosocomial influenza [4] .…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies indicate that healthcare-associated influenza is a major component of the burden of influenza in healthcare facilities, accounting for up to 17.3% of influenza cases with considerable range from season to season [ 5 , 6 ]. Healthcare-associated influenza is associated with complications and significant mortality mainly among vulnerable patients with comorbidities [ 7 , 8 , 9 ]. Moreover, healthcare personnel (HCP) have long been recognized as an occupational group highly affected by influenza, but also for transmission of influenza virus to their patients and colleagues and onset of outbreaks with significant morbidity, mortality, and disruption of healthcare services [ 3 , 4 , 10 , 11 , 12 , 13 , 14 , 15 ].…”
Section: Introductionmentioning
confidence: 99%