Universal Journal of Public Health Vol. 12(5), pp. 892 - 903
DOI: 10.13189/ujph.2024.120512
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Disparities in the Accuracy of Diagnostics Methods for Arboviral Infection in Africa: A Systematic Review


Abiodun F. Ipadeola 1,*, Timothy A. Attah 2, Olayemi O. Akinnola 1, Olatunji M. Kolawole 3, Grace I. Olasehinde 1
1 Department of Biological Science, College of Science and Technology, Covenant University, Nigeria
2 International Research Center of Excellence, Institute of Human Virology Nigeria, Nigeria
3 Department of Microbiology/Parasitology, Faculty of Life Sciences, University of Ilorin, Nigeria

ABSTRACT

Objective: Laboratory diagnosis for arboviral infection remains a significant public health challenge in Africa. This study reviews the disparities in the accuracy of diagnostic tests for arboviral infection in Africa. Methods: A systematic review of studies conducted within the last 10 years was carried out to assess the diagnostic accuracies of arbovirus test methods. Titles were screened for relevance which was followed by screening of abstracts and full texts using the PRISMA guideline. Results: A total of 8 full-text articles met the inclusion criteria and were finally selected for the review. 1Step multiplex real-time polymerase chain reaction (RT-PCR), RealStar® yellow fever virus RT-PCR and in-house immunoglobulin M (IgM) capture enzyme-linked immunosorbent assay (ELISA) when compared to their gold standards (RT-PCR and CDC ELISA) showed high sensitivity and specificity in the diagnosis of arboviral infection Majority of the RDTs (RDT SD Bioline Dengue Duo 11FK46, Chembio DPP® ZCD IgM/IgG and SD Biosensor STANDARD Q Arbo Panel RDTs) also had high diagnostic accuracies with sensitivity and specificity >70%. Luminex technology used in the diagnosis of arboviral infection has also shown high diagnostic accuracy with sensitivity and specificity >80% in the diagnosis of DenV 1,2,3 and 4 nonstructural protein (NS1), and ChikV. However, the diagnostic accuracies for Luminex for DenV 1,2,3 and 4 DIII, and ChikV NS1 were poor. Conclusion: The result from this review can be used to stimulate further research and guide policymakers in adopting evidence-based diagnostic techniques to improve diagnosis of arboviruses, case management, and prevention of epidemics.

KEYWORDS
Arbovirus, Arboviral Infection, Diagnostic Accuracy, Diagnostic Method, Rapid Diagnosis Test

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Abiodun F. Ipadeola , Timothy A. Attah , Olayemi O. Akinnola , Olatunji M. Kolawole , Grace I. Olasehinde , "Disparities in the Accuracy of Diagnostics Methods for Arboviral Infection in Africa: A Systematic Review," Universal Journal of Public Health, Vol. 12, No. 5, pp. 892 - 903, 2024. DOI: 10.13189/ujph.2024.120512.

(b). APA Format:
Abiodun F. Ipadeola , Timothy A. Attah , Olayemi O. Akinnola , Olatunji M. Kolawole , Grace I. Olasehinde (2024). Disparities in the Accuracy of Diagnostics Methods for Arboviral Infection in Africa: A Systematic Review. Universal Journal of Public Health, 12(5), 892 - 903. DOI: 10.13189/ujph.2024.120512.