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Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
Published on: March 13, 2018
Diagnostic approaches for dengue infection.
Gaythri Thergarajan1, Shamala Devi Sekaran1
1Faculty of Applied Sciences, UCSI University, Kuala Lumpur, Malaysia.
Accurate dengue diagnosis is challenging due to similar symptoms and evolving virus strains. Future strategies combine viral and clinical markers with AI for improved early detection and management of dengue fever.
Area of Science:
- Medical Virology
- Infectious Diseases
- Diagnostic Technologies
Background:
- Dengue fever incidence is rising globally, causing 10% of childhood fevers in endemic areas.
- Early dengue diagnosis is difficult due to overlapping symptoms with other viral infections and limited sensitive diagnostic tools.
Approach:
- This review examines current dengue diagnostic strategies and explores novel diagnostic targets.
- It emphasizes understanding immune responses for informed diagnosis and integrating precise assays with clinical markers.
Key Points:
- Future dengue diagnostics will integrate viral and clinical markers serially.
- Artificial intelligence (AI) will be crucial for early severity assessment and patient management.
- Evolving dengue virus genotypes and serotypes necessitate adaptable diagnostic assays.
Conclusions:
- Developing effective dengue diagnostics requires a dynamic approach to combat the evolving virus.
- Combining advanced technologies with clinical insights is key for improved dengue management.
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