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Articles by: Gretchen Tremont

Author: Gretchen Tremont



Learning Labs in Bangladesh

Learning Labs in Bangladesh

Learning Labs in Bangladesh A new series of organized discussions are encouraging collaborative learning and better data practices among young researchers in Bangladesh. The Data for Impact (D4I) Bangladesh team …

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The Roadmap to Developing a New Case Management Information System (CMIS) for Children in Armenia

The Roadmap to Developing a New Case Management Information System (CMIS) for Children in Armenia

The Roadmap to Developing a New Case Management Information System (CMIS) for Children in Armenia For optimum case management, agencies working in child protection require reliable data on children’s resources, …

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RECAP: A tool to assess and grow local capacity for rigorous research and evaluation of health programs

RECAP: A tool to assess and grow local capacity for rigorous research and evaluation of health programs

On June 16, 2022, D4I hosted a webinar exploring the RECAP package. The webinar described how RECAP was developed, provided an overview of the package components, and shared results from tool use in three settings.

Data and Capacity Strengthening: The First Step Towards Better Health Outcomes

Data and Capacity Strengthening: The First Step Towards Better Health Outcomes

Data and Capacity Strengthening: The First Step Towards Better Health Outcomes This is the first blog in a series to showcase D4I work. Here we introduce you to the project …

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Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems

Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems

On May 17, 2022, D4I hosted a webinar on the Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems. The EN-MINI tools MAP newborn data in routine health information systems, explore current USE of newborn data for decision-making, and identify how to IMPROVE newborn data quality.

Integration of Machine Learning HIV Risk Scoring Model into KenyaEMR

Integration of Machine Learning HIV Risk Scoring Model into KenyaEMR

On April 19, 2022, D4I held the next webinar in a series focusing on integration in global health monitoring, evaluation, and learning. This webinar explored the integration of machine learning models with electronic medical records, achieved through the Kenya Health Management Information Systems (KeHMIS) project.

Disease surveillance using a One Health approach in Burkina Faso: Successes and opportunities of a multisectoral collaboration

Disease surveillance using a One Health approach in Burkina Faso: Successes and opportunities of a multisectoral collaboration

On May 10, 2022, D4I hosted a webinar focused on the integration of human and zoonotic data in One Health surveillance system in Burkina Faso.

Data integration under The Demographic and Health Survey Program

Data integration under The Demographic and Health Survey Program

On March 22, 2022, D4I hosted the second webinar in a series focusing on integration in global health monitoring, evaluation, and learning (MEL). This webinar featured two staff members from The Demographic and Health Surveys (DHS) Program. They discussed two recent DHS studies that integrated data; specifically, household survey and health facility assessment data and geospatial covariate and household survey data.

Development of a tool to assess the gender competency of family planning providers

Development of a tool to assess the gender competency of family planning providers

Development of a tool to assess the gender competency of family planning providers On February 23, 2022, Data for Impact (D4I) hosted the first webinar in a series focusing on …

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Video Tutorials: Statistical Methods When Using Routine Data in Evaluation

Video Tutorials: Statistical Methods When Using Routine Data in Evaluation Numerous data analysis methods are used in evaluation and research, ranging from bivariate to more advanced methods like time-series. There …

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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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