Journal article
Algorithm in the diagnosis of febrile illness using pathogen-specific rapid diagnostic tests
- Abstract:
-
BACKGROUND: In the absence of proper guidelines and algorithms, available rapid diagnostic tests (RDTs) for common acute undifferentiated febrile illnesses (AUFI) are often used inappropriately.
METHODS: Using prevalence data of five common febrile illnesses from India and Cambodia, and performance characteristics (sensitivity and specificity) of relevant pathogen-specific RDTs, we used a mathematical model to predict the probability of correct ide...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Clinical Infectious Diseases
- Volume:
- 70
- Issue:
- 11
- Pages:
- 2262–2269
- Publication date:
- 2019-07-17
- Acceptance date:
- 2019-07-16
- DOI:
- EISSN:
-
1537-6591
- ISSN:
-
1058-4838
- Pmid:
-
31313805
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1033845
- UUID:
-
uuid:6ae6aa68-804d-4c16-a04a-258b3cbd5554
- Local pid:
- pubs:1033845
- Source identifiers:
-
1033845
- Deposit date:
- 2019-09-09
Terms of use
- Copyright holder:
- Pokharel et al.
- Copyright date:
- 2019
- Rights statement:
- © The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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