Abstract
Background: Long-term exposure to pesticides is often assessed using semi-quantitative models. To improve these models, a better understanding of how occupational factors determine exposure (e.g., as estimated by biomonitoring) would be valuable. Methods: Urine samples were collected from pesticide applicators in Malaysia, Uganda, and the UK during mixing/application days (and
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