ArticlePLoS currents2009
Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.
Article in PLoS currents, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Health systems' "surge capacity": state of the art and priorities for future research.The Milbank quarterly · 2013Pooled it
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- Impacts of the COVID-19 pandemic on pharmaceuticals in wastewater treated for beneficial reuse: Two case studies in central Pennsylvania.Journal of environmental quality · 2022Article
- Digitizable therapeutics for decentralized mitigation of global pandemics.Scientific reports · 2019Article
- Results from the second year of a collaborative effort to forecast influenza seasons in the United States.Epidemics · 2018Article
- Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing.Journal of computational science · 2016Article
- Intra- and inter-pandemic variations of antiviral, antibiotics and decongestants in wastewater treatment plants and receiving rivers.PloS one · 2014Article
- Health system resource gaps and associated mortality from pandemic influenza across six Asian territories.PloS one · 2012Article
- Modeling for Estimating Influenza Patients from ILI Surveillance Data in Korea.Osong public health and research perspectives · 2011Article
- Assessing the ecotoxicologic hazards of a pandemic influenza medical response.Environmental health perspectives · 2011Article
- The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale.BMC infectious diseases · 2011Review
- [New flu (H1n1): phantom or intensive medicine super-GAU -- a view from the Austrian reality ].Wiener klinische Wochenschrift · 2010Article
- Severe virus influenza A H1N1 related pneumonia and community-acquired pneumonia: differences in the evolution.Revista Brasileira de terapia intensivaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 9 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While the H1N1 pandemic is reaching high levels of influenza activity in the Northern Hemisphere, the attention focuses on the ability of national health systems to respond to the expected massive influx of additional patients. Given the limited capacity of health care providers and hospitals and the limited supplies of antibiotics, it is important to predict the potential demand on critical care to assist planning for the management of resources and plan for additional stockpiling. We develop a disease model that considers the development of influenza-associated complications and incorporate it into a global epidemic model to assess the expected surge in critical care demands due to viral and bacterial pneumonia. Based on the most recent estimates of complication rates, we predict the expected peak number of intensive care unit beds and the stockpile of antibiotic courses needed for the current pandemic wave. The effects of dynamic vaccination campaigns, and of variations of the relative proportion of bacterial co-infection in complications and different length of staying in the intensive care unit are explored.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.