Table 3.
General characteristics of people who were absent from the villages during mass blood survey and targeted primaquine treatment activity (n = 435).
| Sociodemographic factors | n | % |
|---|---|---|
| Age (years) | ||
| < 7 | 48 | 11.0 |
| 7–14 | 48 | 11.0 |
| 15–29 | 206 | 47.4 |
| 30–44 | 82 | 18.9 |
| 45–59 | 33 | 7.6 |
| ≥ 60 | 18 | 4.1 |
| Gender | ||
| Male | 280 | 64.4 |
| Female | 155 | 35.6 |
| Occupation | ||
| Unemployed | 31 | 7.1 |
| Student | 92 | 21.2 |
| Farmers | 204 | 46.9 |
| Gold miners | 101 | 23.2 |
| Others (Teachers, Monks, Merchants) | 7 | 1.6 |
| Annual family income (MMK) | ||
| < 1,000,000 | 268 | 61.6 |
| 1,000,000–1,999,999 | 147 | 33.8 |
| 2,000,000–2,999,999 | 14 | 3.2 |
| ≥ 3,000,000 | 6 | 1.4 |
| Education | ||
| No education/Small children | 52 | 12.0 |
| Primary school (Grade 1–5) | 153 | 35.2 |
| Middle school (Grade 6–9) | 184 | 42.3 |
| High school (Grade 10–11) | 32 | 7.4 |
| Above high school | 14 | 3.2 |
| Reason for not being in the villages | ||
| Job-related or personal traveling | 62 | 14.3 |
| Attending school at other places | 48 | 11.0 |
| Staying in farms | 187 | 43.0 |
| Living in goldmine areas | 91 | 20.9 |
| No specific reason | 47 | 10.8 |
1USD˜2100MMK.