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Publication Strengthening Data Demand and Use in Three African Countries: Lessons Learned from the Associate Awards in Kenya, South Africa, and Tanzania
MEASURE Evaluation (2018)
Located in Resources / Publications
Publication Assessing Spatial Data Quality Using Five Data Anomalies: Speeding the Process for Master Facility Lists and Other Large Data Sets
John Spencer, Becky Wilkes (2019)
Located in Resources / Publications
Publication Plan d’analyse des données de planification familiale Une évaluation des tendances de la PF pour le Mali
Moussa Konaré, MD, MPH; Janine Barden-O’Fallon, PhD (2020)
Located in Resources / Publications
Publication Linking Data from Demographic and Agricultural Surveys to Examine the Drivers of Stunting and Wasting in Nigeria: Lessons Learned
Emily H. Weaver, Siân Curtis, John Spencer, Gustavo Angeles (2020)
Located in Resources / Publications
Data Quality Tools
Methods for assessing M&E plans and systems that collect and report data for program management and reporting.
Located in Resources / Tools
Demand and Readiness Tool for Assessing Data Sources in Health Information Systems (HIS DART)
The purpose of the Demand and Readiness Tool for Assessing Data Sources in Health Information Systems (HIS DART) is to guide a systematic review of the demand for HIS data sources and the readiness of these sources to generate comparable data to monitor health system performance.
Located in Resources / Tools
Data Demand and Use
Quality data is fundamental to health systems and their programs across the board from HIV, to family planning (FP), ending preventable child and maternal death (EPCMD), malaria, reproductive health, and all areas of care that ensure public health.
Located in Our Work
Data Quality
Located in Our Work
Data Quality Review Toolkit
The Data Quality Review (DQR) toolkit proposes a unified approach to data quality and includes guidelines and tools that lay the basis for a common understanding of data quality.
Located in Our Work / Data Quality
Data Science Programming Library
This page presents some examples of core R code for kriging and mapping that has been used by the project to support its work in geospatial analysis with big data for global health.
Located in Our Work / Data Science