Background: Arboviral disease as Dengue, Chikungunya and
Zika viruses pose significant public health challenges in India, primarily
transmitted by Aedes aegypti and Aedes albopictus. While human
clinical diagnosis remains standard, early detection in mosquito vectors
presents a vital opportunity for proactive outbreak response and targeted
vector control. However, India’s current diagnostic framework exhibits several
limitations—particularly in arboviral co-infection screening, differential
diagnosis, DENV serotyping, and long-term infection tracking—contributing to
underreporting and delayed public health interventions.
Objective: This review aims to highlight the need for
robust diagnostic strategies for arboviral detection in Aedes
mosquitoes. It underscores the importance of integrating enhanced diagnostics
into surveillance programs to inform public health policy and response.
Methods: We assessed the diagnostic techniques
available for DENV, CHIKV, and ZIKV, evaluating the sensitivity and specificity
of available tools. Emphasis was placed on diagnostic platforms validated or applicable
in the Indian context, considering resource constraints and field
applicability.
Results: The review identifies several high-performance
diagnostic tools suitable for use in India.
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