Technical Note | PDF 3MB Date of Publication | September 2026 Most national surveys produce estimates at national or first administrative levels (e.g. region, state) and may not provide sufficiently precise estimates for smaller geographic units (e.g. district, local...
Measuring who is being reached with multisector nutrition interventions: a framework for co-coverage & composite coverage analysis
Technical Note | PDF 2 MB Date of Publication | September 2026 Co-coverage and composite coverage quantify the integration of nutrition interventions at individual, household or group level. They fundamentally answer, “who is being reached with multisectoral nutrition...
Building Nutrition Data Literacy: Intervention Coverage
Technical Note | Pdf 4MB Date of Publication | September 2026 Coverage data can answer an essential question: are nutrition interventions reaching the individuals, households, and communities who should receive them? This resource provides users with background...
Convening on the Measurement & Monitoring of MMS
In April 2026, more than 50 global health leaders from governments, UN agencies, implementation partners, research institutions, NGOs, and donors came together at the Johns Hopkins Bloomberg Center in Washington, D.C. for the Convening on Measurement and Monitoring of...
Collecting More with Less: Lessons from the One Nutrition Coverage Survey (ONCS) in Bangladesh
To combat multiple forms of malnutrition, countries are investing in multisectoral interventions delivered through health, agriculture, social protection, education, and food systems. However, the question of who is being reached by multisector interventions remains...
TOOLKIT: One Nutrition Coverage Survey-Bangladesh
Overview of the Survey The One Nutrition Coverage Survey (ONCS) is methods-focused population-based household survey designed to generate comprehensive data on the coverage of multi-sectoral nutrition interventions across the life stages. Developed under the Data for...
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Measuring multi-sector nutrition and health intervention coverage using composite coverage analysis methods: A scoping review
Preprint Article | https://doi.org/10.12688/verixiv.2006.1 Date of Publication | September 2025 Abstract Composite indices provide an opportunity to measure the reach of multisector strategies as countries progress towards Sustainable Development Goals (SDGs) and the...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Journal Article | https://doi.org/10.1136/bmjopen-2025-099314 Date of Publication | December 2025 This journal article was submitted as a preprint. Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction Despite...
Estimating nutrition intervention coverage for small areas using Bayesian spatial modeling
Technical Note | PDF 3MB Date of Publication | September 2026 Most national surveys produce estimates at national or first administrative levels (e.g. region, state) and may not provide sufficiently precise estimates for smaller geographic units (e.g. district, local...
Measuring who is being reached with multisector nutrition interventions: a framework for co-coverage & composite coverage analysis
Technical Note | PDF 2 MB Date of Publication | September 2026 Co-coverage and composite coverage quantify the integration of nutrition interventions at individual, household or group level. They fundamentally answer, “who is being reached with multisectoral nutrition...
Building Nutrition Data Literacy: Intervention Coverage
Technical Note | Pdf 4MB Date of Publication | September 2026 Coverage data can answer an essential question: are nutrition interventions reaching the individuals, households, and communities who should receive them? This resource provides users with background...
Convening on the Measurement & Monitoring of MMS
In April 2026, more than 50 global health leaders from governments, UN agencies, implementation partners, research institutions, NGOs, and donors came together at the Johns Hopkins Bloomberg Center in Washington, D.C. for the Convening on Measurement and Monitoring of...
Collecting More with Less: Lessons from the One Nutrition Coverage Survey (ONCS) in Bangladesh
To combat multiple forms of malnutrition, countries are investing in multisectoral interventions delivered through health, agriculture, social protection, education, and food systems. However, the question of who is being reached by multisector interventions remains...
TOOLKIT: One Nutrition Coverage Survey-Bangladesh
Overview of the Survey The One Nutrition Coverage Survey (ONCS) is methods-focused population-based household survey designed to generate comprehensive data on the coverage of multi-sectoral nutrition interventions across the life stages. Developed under the Data for...
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Measuring multi-sector nutrition and health intervention coverage using composite coverage analysis methods: A scoping review
Preprint Article | https://doi.org/10.12688/verixiv.2006.1 Date of Publication | September 2025 Abstract Composite indices provide an opportunity to measure the reach of multisector strategies as countries progress towards Sustainable Development Goals (SDGs) and the...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Journal Article | https://doi.org/10.1136/bmjopen-2025-099314 Date of Publication | December 2025 This journal article was submitted as a preprint. Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction Despite...