Title |
Evidence of a Major Reservoir of Non-Malarial Febrile Diseases in Malaria-Endemic Regions of Bangladesh
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Published in |
The American Journal of Tropical Medicine and Hygiene, January 2014
|
DOI | 10.4269/ajtmh.13-0487 |
Pubmed ID | |
Authors |
Paul Swoboda, Hans-Peter Fuehrer, Benedikt Ley, Peter Starzengruber, Kamala Ley-Thriemer, Mariella Jung, Julia Matt, Markus A. Fally, Milena K. S. Mueller, Johannes A. B. Reismann, Rashidul Haque, Wasif A. Khan, Harald Noedl |
Abstract |
In malaria-endemic regions any febrile case is likely to be classified as malaria based on presumptive diagnosis largely caused by a lack of diagnostic resources. A district-wide prevalence study assessing etiologies of fever in 659 patients recruited in rural and semi-urban areas of Bandarban district in southeastern Bangladesh revealed high proportions of seropositivity for selected infectious diseases (leptospirosis, typhoid fever) potentially being misdiagnosed as malaria because of similarities in the clinical presentation. In an area with point prevalences of more than 40% for malaria among fever cases, even higher seroprevalence rates of leptospirosis and typhoid fever provide evidence of a major persistent reservoir of these pathogens. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 25% |
United Kingdom | 2 | 25% |
Switzerland | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 63% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 2% |
United States | 1 | 1% |
Sri Lanka | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 80 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 26% |
Student > Master | 17 | 20% |
Student > Bachelor | 8 | 9% |
Student > Postgraduate | 7 | 8% |
Student > Ph. D. Student | 5 | 6% |
Other | 15 | 18% |
Unknown | 11 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 40% |
Agricultural and Biological Sciences | 7 | 8% |
Veterinary Science and Veterinary Medicine | 6 | 7% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Immunology and Microbiology | 5 | 6% |
Other | 15 | 18% |
Unknown | 13 | 15% |