- Abstract:
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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 - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 915.8KB)
-
- Publisher copy:
- 10.1371/journal.pone.0017439
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- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PloS one Journal website
- Volume:
- 6
- Issue:
- 2
- Pages:
- Article: e17439
- Publication date:
- 2011-01-01
- DOI:
- EISSN:
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1932-6203
- ISSN:
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1932-6203
- URN:
-
uuid:58e62d3c-f8e5-45c4-b7e7-8d6e960f3cbc
- Source identifiers:
-
124554
- Local pid:
- pubs:124554
- Language:
- English
- Keywords:
- Copyright holder:
- Lubell et al.
- Copyright date:
- 2011
- Notes:
- 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.
Journal article
Likely health outcomes for untreated acute febrile illness in the tropics in decision and economic models; a Delphi survey.
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ACT Consortium
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Bill and Melinda Gates Foundation
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London School of Hygiene and Tropical Medicine
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