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“Every Newborn-BIRTH” protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania
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Louise T Day, Harriet Ruysen, et al. (2019)
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Publications
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Facilitators, best practices and barriers to integrating family planning data in Uganda’s health management information system
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Stephen Ojiambo Wandera, Betty Kwagala, Olivia Nankinga, Patricia Ndugga, Allen Kabagenyi, Bridgit Adamou, and Benjamin Kachero (2019)
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Data Demand and Use
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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.
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Data Quality
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Data Quality Review Toolkit
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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.
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Data Quality
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Data Science Programming Library
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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.
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Data Science
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Health Informatics
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MEASURE Evaluation helped at global and country levels to strengthen health information systems (HIS) by applying innovative health informatics tools and processes.
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Defining Electronic Health Technologies and Their Benefits for Global Health Program Managers
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Health Information Systems
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mHealth Data Security, Privacy, and Confidentiality
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mHealth Data Security, Privacy, and Confidentiality Guidelines and Checklist
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mHealth
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Burkina Faso
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As a priority country for the United States government’s Global Health Security Agenda (GHSA), Burkina Faso is accelerating its progress toward preventing, detecting, and responding to emerging threats from infectious diseases.
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Countries