Table 4 Chloroquine resistance marker and patients’ characteristics by logistic regression
Chloroquine resistance | p-value | ||
|---|---|---|---|
OR | IC95% | ||
Age (year) | |||
0–5 | 1 | ||
6–12 | 1.04 | 0.72–1.48 | 0.825 |
13–19 | 0.94 | 0.57–1.55 | 0.812 |
20 and + | 0.89 | 0.60–1.33 | 0.601 |
Sex | |||
Female | 1 | ||
Male | 1.08 | 0.81–1.45 | 0.584 |
Site | |||
Bolenge | 1 | ||
Fungurume | 0.04 | 0.01–0.18 | 0.000 |
Kalima | 0.13 | 0.05–0.31 | 0.000 |
Kamina | 0.19 | 0.09–0.42 | 0.000 |
Karawa | 0.33 | 0.17–0.65 | 0.001 |
Katana | 17.52 | 9.36–32.78 | 0.000 |
Kingasani | 1.90 | 1.18–3.06 | 0.008 |
Kisangani | 0.14 | 0.06–0.31 | 0.000 |
Lubumbashi | 0.12 | 0.05–0.32 | 0.000 |
Vanga | 2.33 | 1.40–3.89 | 0.001 |
Number episode of malaria last 12 months | |||
0 | 1 | ||
1 | 1.03 | 0.65–1.63 | 0.886 |
2 | 1.15 | 0.77–1.71 | 0.469 |
3 | 0.11 | 0.64–1.59 | 0.961 |
4 and + | 1.64 | 0.98–2.75 | 0.057 |
Study | |||
Study-2017 | 1 | ||
Study-2019 | 0.76 | 0.56–1.021.02 | 0.069 |