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Review
. 2024 Nov-Dec;49(6):805-811.
doi: 10.4103/ijcm.ijcm_63_24. Epub 2024 Oct 17.

Seropositivity of Chikungunya in Hospital Setting, India: A Systematic Review and Meta-Analysis

Ramya Nagarajan  1 , Lavanya Ayyasamy  1 , Parasuraman Ganeshkumar  1 , Saravanakumar Velusamy  2 , Manoj Murhekar  2
Affiliations
Review

Seropositivity of Chikungunya in Hospital Setting, India: A Systematic Review and Meta-Analysis

Ramya Nagarajan et al. Indian J Community Med. 2024 Nov-Dec.

Abstract

Backround: Information about the chikungunya disease burden by age groups and geographic distribution is necessary to guide appropriate control measures. With this, we conducted a systematic review and meta-analysis to estimate the disease burden of chikungunya fever in India.

Material and methods: We conducted this systematic review according to the Cochrane Collaboration guidelines. We retrieved relevant articles from PubMed and a free online search. Two investigators screened titles and abstracts and extracted data from the relevant articles. Our primary outcome is the proportion of laboratory-confirmed Chikungunya fever among clinically suspected patients. We used a random effect model to estimate the pooled proportion of Chikungunya fever.

Result: A total of 20 articles were included in the quantitative syntheses. The pooled proportion of laboratory-confirmed chikungunya fever from 20 studies estimated using the random effects model is 24% (95%CI: 15-34%). We found the pooled proportion in the southern region was 35% (95%CI: 4-66%), 28% (95%CI: 3-58%) in the western region, 24% (95%CI: 1-48%) in the eastern region, 20% (95%CI: 12-29%) in the northern region, and 4% (95%CI: 1-6%) in North-eastern region.

Conclusion: This review emphasizes the need to strengthen the surveillance of disease burden using multiple diagnostic tests and the need for an appropriate molecular diagnostic for early detection of the chikungunya virus.

Keywords: Chikungunya; meta-analysis; proportion; sero-positivity; systematic review.

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Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
PRISMA flowchart (n = 20)
Figure 2
Figure 2
Forest plot showing the proportion of lab-confirmed chikungunya cases among the suspected cases in hospital-based surveillance, India, 2006-2023 (n = 20)
Figure 3
Figure 3
Doi plot and LFK index to demonstrate publication bias
See this image and copyright information in PMC

References

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