Likely Health Outcomes for Untreated Acute Febrile Illness in the Tropics in Decision and Economic Models; A Delphi Survey

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 parameters are lac...

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Veröffentlicht in:	PloS one Jg. 6; H. 2; S. e17439
Hauptverfasser:	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.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 24.02.2011 Public Library of Science (PLoS)
Schlagworte:	Acute Disease Adolescent Adult Antibiotics Bacteria Case management Child Child, Preschool Children Collaboration Cost analysis Critical Illness - economics Critical Illness - epidemiology Critical Illness - therapy Decision analysis Decision making Decision Support Techniques Delphi Technique Diagnostic systems Diagnostic tests Disease Progression Disease transmission Economic analysis Economic aspects Economic models Economics Epidemiology Estimates Experts Fever - complications Fever - diagnosis Fever - economics Fever - epidemiology Health Health aspects Health visiting Hospitals Humans Hygiene Illnesses Infant Infant, Newborn Malaria Malaria - diagnosis Malaria - economics Malaria - epidemiology Mathematical models Medical research Medicine Midwifery Models, Economic Mortality Nursing Outcome Assessment (Health Care) - methods Outcome Assessment (Health Care) - statistics & numerical data Parameter estimation Patients Physicians Pneumonia Probability Prognosis Public health Sensitivity analysis Surveys Tropical Climate Tropical environments Variability Vector-borne diseases Young Adult San Francisco California United States > US Uganda California Kenya Thailand Kampala Uganda Bangkok Thailand
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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