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Likely Health Outcomes for Untreated Acute Febrile Illness in the Tropics in Decision and Economic Models; A Delphi Survey
BACKGROUND: Modelling is widely used to inform decisions about management of malaria and acute febrile illnesses. Most models depend on estimates of the probability that untreated patients with malaria or bacterial illnesses will progress to severe disease or death. However, data on these key parame...
Autores principales: | Lubell, Yoel, Staedke, Sarah G., Greenwood, Brian M., Kamya, Moses R., Molyneux, Malcolm, Newton, Paul N., Reyburn, Hugh, Snow, Robert W., D'Alessandro, Umberto, English, Mike, Day, Nick, Kremsner, Peter, Dondorp, Arjen, Mbacham, Wilfred, Dorsey, Grant, Owusu-Agyei, Seth, Maitland, Kathryn, Krishna, Sanjeev, Newton, Charles, Pasvol, Geoffrey, Taylor, Terrie, von Seidlein, Lorenz, White, Nicholas J., Binka, Fred, Mills, Anne, Whitty, Christopher J. M. |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044764/ https://www.ncbi.nlm.nih.gov/pubmed/21390277 http://dx.doi.org/10.1371/journal.pone.0017439 |
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