Dengue and COVID-19 in the context of co-endemic viral illnesses overlapping symptoms, biomarkers, and diagnostic strategies
Background: The concurrent circulation of Dengue, COVID-19, Zika, and Chikungunya poses major diagnostic challenges due to overlapping symptoms like fever, rash, and myalgia. This review examines clinical, laboratory, and epidemiological distinctions to improve differential diagnosis, especially in co-endemic and low-resource regions. Dengue often presents with thrombocytopenia and elevated AST, while COVID-19 shows lymphopenia and high CRP/D-dimer. Zika and Chikungunya have milder lab changes but share clinical features with the others. Misdiagnosis risks include inappropriate treatment (e.g., anticoagulation in Dengue or delayed respiratory support in COVID-19). Serological cross-reactivity, particularly between Dengue and Zika, further complicates diagnosis. Advances like multiplex PCR, CRISPR diagnostics, and AI-driven tools offer promise, though implementation in low-resource settings remains a barrier. Mobile diagnostic units and algorithm-based triage tools enhance access and early outbreak response. Accurate, timely diagnosis is vital for patient care and public health. Integrated strategies combining clinical assessment with scalable, validated point-of-care technologies are key to mitigating co-epidemic impacts and improving healthcare resilience.
Authors
- Aditi Pal
- Monalisa Subudhi (ORCID: https://orcid.org/0000-0003-4816-3979)
- Mahesh Chandra Sahu (ORCID: https://orcid.org/0000-0003-3736-2294)
- Srikant Kumar Dhar
Institutions
- Siksha O Anusandhan University (IN)
- Regional Medical Research Centre (IN)
- Regional Medical Research Center (IN)
- Institute of Medical Sciences and Sum Hospital (IN)
- KIIT University (IN)
Publication Details
- Journal
- Microbes and Infectious Diseases /Microbes and Infectious Diseases
- Published
- 2025-09-01
- DOI
- https://doi.org/10.21608/mid.2025.386894.2810
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 0.00