Center for Global Health

Health Data CollaborativeSurveillance Working Group

Ray L Ransom

Associate Director for Informatics, DGHPInformatics Team Lead, EISLB

Surveillance and Health Information

Systems Technical Workshop

Dakar Senegal

Friday March 3, 2017

• “The Health Data Collaborative is an inclusive partnership of international agencies, governments, philanthropies, donors and academics, with the common aim of improving health data.”https://www.healthdatacollaborative.org/

• CDC, HHS, and USAID are active participants on the HDC Steering Committee

• HDC success in GHSA countries is critical to ensure efficient investments and sustainable systems through diversified, but coordinated investments

• HDC activities in GHSA Phase I countries prioritized

Data for health and sustainable development

Working with countries to improve health data and track progress towards the health-related Sustainable Development Goals.

Domains• The Health Data Collaborative is a joint effort

by multiple global health partners to work alongside countries to improve the availability, quality and use of data for local decision-making and tracking progress toward the health-related Sustainable Development Goals (SDGs).

• The working groups in the HDC develop standards, indicators and other tools that help countries to collect, analyze and use good health data. At the same time, we work to make sure everyone is pulling in the same direction, to support the health plans and priorities that countries set.

sourced from www.healthdatacollaborative.org

Working Groups

Country Action and Regional Collaboration

Country Action

Civil Society Platform

Facility and Community Data

Routine HIS and Disease Surveillance

Community Data

Health Facility Surveys

Measurement of Quality of Care

Logistics Management Information Systems (LMIS)

Population Data Sources

Household Surveys

Civil Registration and Vital Statistics (CRVS)

Health Systems Monitoring

Health Workforce

Health Resource Tracking

Data Analytics, Use and Open Access

Data Analytics and Use

Global and Country Data and Statistics (including GIS)

Digital health systems and interoperability

Surveillance

• Outbreak Detection and Response

• Data Integration for Health Systems Data Warehouses

Key Principles Linking Detection and Response

– Suspect event-linked to lab and epi data

– Core system support detection and response

Value of centralized web-based data available across the health system

Diversity of data sources

Data Integration

Data and Analytic Standards

Data and System Requirements

– Detection and Response

– By Disease

Continual Monitoring and Routine Evaluation

– Total cost of ownership

– Workforce Requirements

– Data quality and use

– Sustaining investment

Variation in Data Required through Detect-Respond ContinuumOutbreak

Over

Cases Case registry linked to lab

Respond DetectOutbreakDeclaredDetect

• Vaccine Teams• Contact tracing • Tx Units

• Special studies

Data Elements

Action Packages

Antimicrobial Resistance

Zoonotic Diseases

Biosafety/Biosecurity

Immunization

National Laboratory Systems

Surveillance

Reporting

Workforce Development

Emergency Operations

Centers

Linking Public Health with

Law Enforcement

Medical

Countermeasures and

Personnel Deployment

Detect threats early

Prevent avoidable catastrophes

Respond Rapidly and effectively

Slide adapted from Wei Li (CDCCGH/DGHP/EISLB): Developing LIMS Implementation Strategies for GHSA Countries

Data Integration and System Interoperability

Antimicrobial Resistance

Zoonotic Diseases

Biosafety/Biosecurity

Immunization GHSA Reporting

Link Public Health and Law Enforcement

Medical Countermeasures

National Laboratory

System

DiseaseSurveillance

Systems

Emergency OperationsCenters

National Health System Data Warehouse

Data Capture (Source)

Extraction

Transformation

Load

Extraction

Transformation

Load

Health Data Warehouse

• Line-listed• Aggregate• Non-standard

• VPD surveillance• EPI Indicators• Supply chain

• Special campaigns

Epidemiologic Intelligence

Immunization Monitoring

Health Data Warehouse

Epidemiologic Intelligence

Health Data Warehouse

Epidemiologic Intelligence

Immunization Early Warning HMIS CRVS PEPFAR

Tools

Data capture

– Paper

– ODK

– Epi Info

– DHIS-2

Data Integration (ETL)

– SQL

– Pentaho

– Talend

– Data Analytics

• R

• Stata

– Data Visualization/GIS

• Pentaho

• QGIS

• DHIS-2

Workforce

Staffing

Training

Mentoring

Supervision

Retention

Promoting national and international community of data and systems professionals around common tools and platforms

Getting Started

The art of picking the right data, domains, and diseases…

…It’s country specific…………

Sustaining Momentum

Keep workforce growing in skills and number

Continue to diversify data sources and expand use

Routine monitoring including total cost of ownership

Document, demonstrate and share

Promote national and international communities

For more information, contact CDC1-800-CDC-INFO (232-4636)TTY: 1-888-232-6348 www.cdc.gov

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Thank you

Ray Ransom (RRansom@cdc.gov)