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 parameters are lacking and assumptions are frequently made based on expert opinion. Widely diverse opinions can lead to conflicting outcomes in models they inform. METHODS AND FINDINGS: A Delphi survey w...Expand abstract
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- Peer reviewed
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- Lubell et al.
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- Copyright 2011 Lubell et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Likely health outcomes for untreated acute febrile illness in the tropics in decision and economic models; a Delphi survey.
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