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Resources > Publications

Archives: CPC Publications



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Factors Affecting Sex- and Age-Disaggregated Data in Health Information Systems Lessons from the Field

Author(s): MEASURE Evaluation
Year: 2017
Filed under: Brief, Data, Gender, Health Information Systems, Kenya, Tanzania, Zambia

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Monitoring the Integration of Family Planning and HIV Services: Indicators Both to Measure Progress toward the 90-90-90 Targets and Ensure the Reproductive Rights of All Women

Author(s): MEASURE Evaluation
Year: 2016
Filed under: Family Planning, HIV, HIV/AIDS, Reproductive Health, Women

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Data Quality for Monitoring and Evaluation Systems

Author(s): MEASURE Evaluation
Year: 2016
Filed under: Data, Data Quality, Evaluation, Monitoring

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Evaluation FAQ: What Sample Size Do I Need for an Impact Evaluation?

Author(s): MEASURE Evaluation
Year: 2015
Filed under: Evaluation

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Spatial Quality and Anomalies Diagnosis (SQUAD) Tool (ArcGIS and QGIS)

Author(s): Spencer J, Wilkes B
Year: 2017 (Updated 2018)

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Guide for Monitoring and Evaluating Avian Influenza Programs in Southeast Asia

Year: 2008

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Monitoring and Evaluation Capacity Assessment Toolkit (MECAT)

Author(s): MEASURE Evaluation PIMA
Year: 2017
Filed under: Capacity Assessment, Data, Evaluation, MEASURE Evaluation PIMA, Monitoring

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PRISM: Performance of Routine Information System Management Series

Author(s): MEASURE Evaluation
Year: 2019
Filed under: Health Information Systems, PRISM, RHIS, Routine Health Information Systems, Tools

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Workshop Materials: Impact Evaluation of Population, Health, and Nutrition Programs

Author(s): MEASURE Evaluation
Year: 2017

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Gender-Integrated Routine Data Quality Assessment (RDQA+G) Tool

Author(s): MEASURE Evaluation
Year: 2018
Filed under: Data Quality, Gender, Routine data, Tools


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This website was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.

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Data for Impact (D4I) is funded by the United States Agency for International Development (USAID) under the terms of the D4I associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.
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