This project involves the SEACTN Village Profiling study, implemented across Bangladesh, Lao PDR, Myanmar, Cambodia, and Thailand, with a specific focus on villages in and around Bandarban, Bangladesh. The project is led by MORU (Mahidol Oxford Tropical Medicine Research Unit) and is designed to generate a structured understanding of village-level conditions that influence health outcomes, particularly in remote and underserved settings.

The objective of the study is to collect and analyze multi-dimensional village-level data covering physical environment, access to health facilities, socio-economic conditions, and other contextual factors affecting community health status. The profiling supports spatial and descriptive analysis of how environmental and infrastructural conditions shape health vulnerabilities and service accessibility across different geographic contexts.

Data collection is conducted using standardized questionnaires deployed through KoBoToolbox, enabling both remote data entry via web forms and field-based data collection using KoBoCollect on Android devices. The system allows offline data capture with later synchronization when internet connectivity is available, ensuring flexibility in remote and hard-to-reach areas.

The dataset is designed to support mapping and analytical outputs that provide insights into village-level health conditions and associated risk factors. The study contributes to building a comparative evidence base across multiple countries in the region, supporting broader health systems research and spatial analysis of underserved populations.