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. 2023 Oct 8;15(10):2065. doi: 10.3390/v15102065

Table 3.

CHIKV neutralization antibody rate. The table shows the proportion of patients with neutralizing antibodies for each factor (gender, age groups, regions, years, and clinical diagnoses). The Chi-square or Fisher’s exact test was used to compare the difference in the proportion of neutralizing antibodies between groups within each factor. The factors with statistically significant differences are analyzed in more detail in the following sections.

Variable Patients
n (%) +
FRNT50
n (%) ++
p Value (χ² or Fisher Test)
Gender
Female 470 (44.2) 54 (11.5) 0.32
Male 593 (55.8) 57 (9.6)
Age groups
≤5 136 (12.8) 19 (14) <0.0001
6–15 423 (39.8) 34 (8)
16–45 382 (35.9) 21 (5.5)
≥46 122 (11.5) 37 (30.3)
Regions
North 283 (26.6) 21 (7.4) 0.052
South 780 (73.4) 90 (11.5)
Year of illness *
2017 368 (34.6) 39 (10.6) 0.991
2018 326 (30.7) 34 (10.4)
2019 369 (34.7) 38 (10.3)
Clinical diagnoses **
Non-specific febrile illness 361 (34) 36 (10) 0.14
Suspected Dengue 58 (5.5) 8 (13.8)
Dengue without warning sign 604 (56.8) 62 (10.3)
Dengue with warning sign 26 (2.4) 1 (3.8)
Severe Dengue 14 (1.3) 4 (28.6)
Overall 1063 (100) 111 (10.4)

+ % in total for each variable. ++ % in each lane. * Age groups were defined based on the date and year of illness. ** Clinical diagnoses identified on patient’s initial hospital visit.