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Data Demand and Information Use
MEval-SIFSA assisted the DoH at national, provincial, and district levels to improve its efficiency and effectiveness by identifying data needs, understanding indicators and targets, improving data quality, analyzing data, and presenting and using information for decision/policy making to improve health outcomes.
Located in MEASURE Evaluation SIFSA
DHMIS Helpdesk
MEASURE Evaluation–Strategic Information for South Africa (MEval-SIFSA) is providing technical assistance to help national and provincial Departments of Health (DoH) implement standards-based service desks to support the South African District Health Management Information System (DHMIS).
Located in MEASURE Evaluation SIFSA
HIS Strengthening Model
Located in HIS Strengthening Resource Center Home
HIS Strategic Plan
Located in HIS Strengthening Resource Center Home / Resources
HIS Stages of Continuous Improvement Toolkit
The HIS Stages of Continuous Improvement (SOCI) Toolkit was collaboratively designed to help countries or organizations holistically assess, plan, and prioritize interventions and investments to strengthen an HIS.
Located in HIS Strengthening Resource Center Home
Data for Impact News
Located in Data for Impact / Resources
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