Table 3.
ANOVA result based on logistic regression of the samples on various factors
|
Parameters |
df |
NS1
a
|
IgM
b
|
||
|---|---|---|---|---|---|
| χ 2 | p-value | χ 2 | p-value | ||
| City of origin |
7 |
19.21 |
0.008
c
|
7.42 |
0.387 |
| Serotype |
4 |
6.60 |
0.159 |
9.78 |
0.044
d
|
| Infection status |
1 |
5.92 |
0.015
c
|
11.14 |
<0.001
d
|
| Severity | 2 | 2.53 | 0.282 | 4.29 | 0.117 |
df: degree of freedom.
χ2: Chi-square statistics, p-value < 0.05 is considered statistically significant (printed in bold).
aLogistic regression model: NS1 ~ City + Serotype + Infection status + Severity.
bLogistic regression model: IgM ~ City + Serotype + Infection status + Severity.
cOmission of samples from cities with small samples size (Kendari and Medan) did not affect the statistical significant (p = 0.003 for city of origin and p = 0.034 for infection status).
dOmission of samples from cities with small samples size (Kendari and Medan) did not affect the statistical significant (p = 0.034 for serotype and p < 0.001 for infection status).