Articles: pandemics.
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To analyse the factors associated with increased mortality among Indian Children with H1N1. ⋯ Hypoxia, ARDS and use of corticosteroids in children with ARDS who were mechanically ventilated were the factors associated with increased odds of mortality. Necropsy also suggested bacterial co-infection as a risk factor.
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Emerg Med Australas · Apr 2012
Pandemic (H1N1 influenza 2009 and Australian emergency departments: implications for policy, practice and pandemic preparedness.
To describe the reported impact of Pandemic (H(1)N(1) ) 2009 on EDs, so as to inform future pandemic policy, planning and response management. ⋯ This paper describes the breadth of the impact of pandemics on ED operations. It identifies a need to address a range of industrial, management and procedural issues. In particular, there is a need for a single authoritative source of information, the re-engineering of EDs to accommodate infectious patients and organizational changes to enable rapid deployment of alternative sources of care.
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Clin. Microbiol. Infect. · Apr 2012
Virological and clinical characterization of respiratory infections in children attending an emergency department during the first autumn-winter circulation of pandemic A (H1N1) 2009 influenza virus.
To characterize respiratory virus infections during the first autumn-winter season of pandemic A (H1N1) 2009 influenza virus (A/H1N1/2009) circulation, a prospective study in children attending a paediatric emergency department at the Sapienza University hospital, Rome, was conducted from November 2009 to March 2010. By means of both nasal washings and pharyngeal swabs, enrolled children were checked for 14 respiratory viruses. The majority of acute respiratory infections resulted from viral pathogens (135/231, 58%). ⋯ Children with RV infections, detected in two flares partially overlapping with the A/H1N1/2009 and RSV peaks, presented with bronchiolitis, wheezing and pneumonia. Leukocytosis occurred more frequently in RV-infected and A/H1N1/2009-infected children, and numbers of blood eosinophils were significantly elevated in RV-infected infants. Given the fact that clinical and epidemiological criteria are not sufficient to identify viral respiratory infections, a timely virological diagnosis could allow different infections to be managed separately.
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Clin. Microbiol. Infect. · Apr 2012
First influenza season after the 2009 pandemic influenza: characteristics of intensive care unit admissions in adults and children in Vall d'Hebron Hospital.
To assess potential differences in epidemiology and management of patients admitted with influenza infection in the intensive care unit (ICU) during the first post-pandemic influenza period. Observational prospective study comparing September 2009-January 2010 with September 2010-January 2011. Variables captured: demographics, co-morbidities, physiological parameters, outcomes and management. ⋯ Primary viral pneumonia predominated among ICU admissions. Postpandemic ICU influenza developed later, with some cases of influenza B, more frequent bacterial and viral co-infections and more patients with severe acute respiratory infection with normal chest X-ray. Increasing vaccination rates among risk-group individuals is warranted to prevent ICU admission and death.
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Bull. World Health Organ. · Apr 2012
Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.
Outbreak analysis and mathematical modelling are crucial for planning public health responses to infectious disease outbreaks, epidemics and pandemics. This paper describes the data analysis and mathematical modelling undertaken during and following the 2009 influenza pandemic, especially to inform public health planning and decision-making. ⋯ A key lesson was that modelling cannot substitute for data; it can only make use of available data and highlight what additional data might best inform policy. Data gaps in 2009, especially from low-resource countries, made it difficult to evaluate severity, the effects of seasonal variation on transmission and the effectiveness of non-pharmaceutical interventions. Better communication between modellers and public health practitioners is needed to manage expectations, facilitate data sharing and interpretation and reduce inconsistency in results.