ESPEN Collect Services - Training Resources
ESPEN Collect Services provide standardized digital solutions to support field data collection, real-time monitoring, and data quality assurance for NTD programmes across the WHO African Region. These services are designed to support epidemiological surveys, programme monitoring, and operational planning, while ensuring consistency with WHO standards and country workflows.
The training materials in this section are intended for national programme teams, data managers, survey supervisors, and implementing partners involved in planning and conducting surveys or managing NTD field data. Resources are structured to guide users from initial setup through to field implementation and post-survey data quality review.
Setup & onboarding
This section supports users in preparing to use ESPEN Collect before any field activity begins. Training materials cover the key steps required to ensure a smooth start, including system access, survey configuration, user roles, device preparation, and coordination between country teams, partners, and ESPEN. The focus is on establishing a shared understanding of workflows and responsibilities to reduce delays and technical issues during implementation.
Field data collection workflows
This section focuses on how ESPEN Collect is used in the field, from survey launch to completion. Materials explain standard workflows for enumerators and supervisors, including form use, offline data capture, supervision and validation checks, and daily monitoring through dashboards. Emphasis is placed on practical implementation in low-connectivity settings and on aligning field practices with survey protocols and ethical requirements.
Data quality checks & troubleshooting
High-quality data is essential for decision-making and programme validation. This section provides guidance on identifying, reviewing, and resolving common data issues using ESPEN Collect monitoring tools. Training materials cover routine data-quality checks, error detection, feedback loops between field teams and data managers, and practical troubleshooting during and after surveys. The aim is to support timely corrections and ensure that final datasets are complete, consistent, and fit for analysis and reporting.