Likely health outcomes for untreated acute febrile illness in the tropics in decision and economic models; a Delphi survey

• Main Authors: Yoel Lubell, Sarah G. Staedke, Brian M. Greenwood, Moses R. Kamya, Malcolm Molyneux, Paul N. Newton, Hugh Reyburn, Robert W. Snow, Umberto D'Alessandro, Mike English, Nick Day, Peter Kremsner, Arjen Dondorp, Wilfred Mbacham, Grant Dorsey, Seth Owusu-Agyei, Kathryn Maitland, Sanjeev Krishna, Charles Newton, Geoffrey Pasvol, Terrie Taylor, Lorenz von Seidlein, Nicholas J. White, Fred Binka, Anne Mills, Christopher J.M. Whitty
• Other Authors: London School of Hygiene & Tropical Medicine
• Format: Article
• Published: 2018
• Subjects: Agricultural and Biological Sciences; Biochemistry, Genetics and Molecular Biology
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/11341
• Institution: Mahidol University

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...