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 |