A concise summary detailing what this solution is, why it matters, and who it is designed to help.
Dietary Surveillance & Measurement
Strengthen dietary surveillance systems and deliver population-ready estimates for monitoring, equity, and decision-making.
Overview
We help organizations measure diets accurately and consistently across populations and over time. We support the full surveillance workflow—from survey design considerations and data preparation to harmonization, indicator definitions, and reporting—so results are comparable, transparent, and fit for policy, programs, and research. We can deliver end-to-end surveillance outputs or integrate with national systems and partner teams.
Deliverables
A list of tangible outputs and concrete products clients receive upon completion of the engagement.
- Surveillance Design & Measurement Framework — We define target populations, indicators, dietary instruments, and sampling/representativeness considerations.
- Harmonized Dietary Datasets & Metadata — We produce standardized, analysis-ready datasets with documented definitions, mappings, and assumptions.
- Population Estimates & Trends — We deliver national/subnational estimates, time trends, distributions, and subgroup analyses where relevant.
- Equity & Stratified Reporting — We produce stratified results (e.g., by age/sex/SES/geography) to support equity-focused decisions.
- Dashboards & Reporting Packages — We deliver decision-ready tables, figures, dashboards, and technical appendices to support ongoing monitoring.
Methods
The specific scientific approaches, analytical techniques, and standards used to execute the work.
- Dietary Data Methods — We work with common dietary instruments (e.g., 24-hour recalls, food records, FFQs) and align outputs for comparability.
- Standardization & Harmonization — We develop consistent food groupings, exposure definitions, and coding frameworks, with clear inclusion/exclusion rules.
- Complex Survey Analysis — We apply design-based methods (weights/strata/clusters) for population-representative estimates and uncertainty.
- Usual Intake & Distributional Methods— We use fit-for-purpose approaches to estimate usual intake and intake distributions,(when appropriate.
- Quality Assurance — We apply QA/QC checks, outlier handling rules, and documentation to support reproducibility and auditability.
- Partner-integrated Delivery — We align with country teams and data owners to fit local protocols while maintaining consistent measurement standards.
Metrics we track
The key performance indicators and measurable outcomes used to evaluate success and demonstrate impact.
- Coverage & Representativeness — We track national/subnational coverage, sample sizes, and the ability to support subgroup estimates.
- Data Wuality — We monitor completeness, internal consistency, implausible values, and QA/QC flags.
- Comparability — We track adherence to standardized definitions, mappings, and versioned documentation across time and sources.
- Uncertainty & Robustness — We report uncertainty and sensitivity to key measurement and analytic assumptions.
- Equity Insights — We track gaps and gradients across key groups and geographies when relevant.
- Decision Readiness — We ensure outputs are interpretable, transparent, and packaged for reporting and action.
Related Focus Areas
Key domains, settings, and populations where this solution is most frequently applied and drives significant impact.
Related Solutions
Additional methods and capabilities that often complement this solution for comprehensive project execution.
