Characterizing Mobility Patterns of Forest Goers in Southern Lao PDR using GPS Loggers.
Abstract Background: In the Greater Mekong Subregion (GMS), engaging in forest activities is a major risk factor for malaria. As countries focus their malaria control and elimination efforts on forest-going populations, a better understanding of their mobility patterns and risk associated with specific types of forest-going trips is essential. Methods: Between May and November 2018, we conducted a focal test and treat intervention (FTAT) in Champasak Province, southern Lao PDR, and recruited 2,904 forest-goers in our study. A subset of forest-goers were offered to carry a “i-Got-U” GPS logger for roughly two months, configured to collect GPS coordinates every 15 to 30 minutes. The utilization distribution (UD) surface around each GPS trajectory was used to extract trips to the forest and forest-fringes. Trips with shared mobility characteristics in terms of duration, timing and forest penetration were identified by a hierarchical clustering algorithm and clusters of trips with increased exposure to dominant malaria vectors in the region were further classified as high-risk. Finally, we used gradient boosting trees to assess which of the forest-goers’ socio-demographic and behavioral characteristics best predicted their likelihood to engage in such high-risk trips. Results: A total of 122 forest-goers accepted carrying a GPS logger resulting in the collection of 803 trips to the forest or forest-fringes. Six clusters of trips emerged, helping to classify 385 (48%) trips with increased exposure to malaria vectors based on high forest penetration and whether the trip happened overnight. Age, outdoor sleeping structures and number of children were the best predictors of forest-goers’ probability of engaging in high-risk trips. The probability of engaging in high-risk trips was high (~33%) in all strata of the forest-going population.Conclusion: This study characterized the heterogeneity within the mobility patterns of forest-goers and attempted to further segment their role in malaria transmission in southern Lao People’s Democratic Republic (PDR). These results are key for national control programs across the region to tailor their interventions and messaging to high-risk populations and meet their 2030 malaria elimination goals.