Fig 1.
Gender-wise distribution of CHIKV cases based on ELISA and RT-PCR.
Fig 2.
Month-wise distribution of CHIKV cases based on ELISA (2A) and RT-PCR (2B).
Fig 3.
District-wise distribution of CHIKV cases based on ELISA (3A) and RT-PCR(3B). In this figure, we have analysed the district-wise prevalence rate of CHIKV by considering the total number of CHIKV sample tested and the samples showed positive results in both ELISA and RT-PCR assay. The samples showed ELISA positive results for CHIKV were not considered further for RT-PCR assay.
Fig 4.
Phylogenetic tree was constructed based on the envelope gene (~ 490 bp) of CHIKV sample (●) and available virus sequences from GenBank.
The tree was inferred by using the Maximum Likelihood method and Kimura-2-parameter model. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. To evaluate replicated tree confidence, 1000 bootstrap replicates were performed. Evolutionary analyses were conducted in MEGA X. This analysis involved 28 nucleotide sequences.
Table 1.
Mean weight, blood sugar level and age of patients based on the RT-PCR and serological detection of CHIKV.
Table 2.
Determination of frequency and odds ratios (OR) analysed based on different clinical symptoms for chikungunya IgM positive samples.
Table 3.
Determination of frequency and odds ratios analysed with different clinical symptoms for chikungunya RT-PCR positive results among IgM negative samples.
Fig 5.
Schematic diagram showing the significant clinical features and major overlapping symptoms among chikungunya and dengue infected patients.