Journal article
Clinical Diagnosis and Geographic Distribution of Leptospirosis, Thailand
Emerging Infectious Diseases, Vol.13(1), pp.124-126
2007
Abstract
We defined the positive predictive accuracy of a hospital-based clinical diagnosis of leptospirosis in 9 provinces across Thailand. Of 700 suspected cases, 143 (20%) were confirmed by laboratory testing. Accuracy of clinical diagnosis varied from 0% to 50% between the provinces and was highest during the rainy season. Most confirmed cases occurred in the north and northeast regions of the country.
Details
- Title
- Clinical Diagnosis and Geographic Distribution of Leptospirosis, Thailand
- Authors
- V Wuthiekanun (Author) - Mahidol University, ThailandN Sirisukkarn (Author) - Minister of Public Health, ThailandP Daengsupa (Author) - Minister of Public Health, ThailandP Sakaraserane (Author) - Minister of Public Health, ThailandA Sangkakam (Author) - Madihol University, ThailandW Chierakul (Author) - Madihol University, ThailandLee D Smythe (Author) - Queensland Health Scientific ServicesM L Symonds (Author) - Queensland Health Scientific ServicesM F Dohnt (Author) - Queensland Health Scientific ServicesA T Slack (Author) - Queensland Health Scientific ServicesN P Day (Author) - University of Oxford, United KingdomS J Peacock (Author) - University of Oxford, United Kingdom
- Publication details
- Emerging Infectious Diseases, Vol.13(1), pp.124-126
- Publisher
- U.S. Department of Health and Human Services, Centers for Disease Control and Prevention
- Date published
- 2007
- DOI
- 10.3201/eid1301.060718
- ISSN
- 1080-6040
- Copyright note
- Copyright © 2007 U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. Reproduced here with permission.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99449066102621
- Output Type
- Journal article
Metrics
19 File views/ downloads
522 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Immunology
- Infectious Diseases
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites