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Dengue diagnosis, advances and challenges

Open access
Guzmán, Marı́a G, Kourı́, Gustavo·2004·International Journal of Infectious Diseases

Abstract

Dengue diagnosis was one of the topics discussed at the symposium 'The Global Threat of Dengue - Desperately Seeking Solutions' organized during the 10th International Congress of Infectious Diseases held in Singapore in 2002. In this paper, a review is presented focusing on the main advances, problems and challenges of dengue diagnosis.IgM capture ELISA, virus isolation in mosquito cell lines and live mosquitoes, dengue specific monoclonal antibodies and PCR have all represented major advances in dengue diagnosis. However, an appropriate rapid, early and accessible diagnostic method useful both for epidemiological surveillance and clinical diagnosis is still needed. Also, tools that suggest a prognosis allowing for better management are also needed. Finally, laboratory infrastructure, technical expertise and research capacity must be improved in endemic countries in order to positively influence dengue surveillance, clinical case management and the development of new approaches to dengue control.

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Metadata

Authors
Guzmán, M. G., & Kourı́, G.
Venue
International Journal of Infectious Diseases
Publisher
Elsevier BV
Published
2004-03
Volume
8
Issue
2
Pages
69-80
ISSN
1201-9712 (ISSN-L)
OpenAlex
W1994850469
Cited by
374
References
0
FWCI
11.17
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Dengue diagnosis, advances and challenges. https://app.cochat.ai/papers/10.1016/j.ijid.2003.03.003
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Guzmán, M. G., & Kourı́, G. (2004). Dengue diagnosis, advances and challenges. International Journal of Infectious Diseases. https://doi.org/10.1016/j.ijid.2003.03.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.