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...

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Detalles Bibliográficos
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.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
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

Internet

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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