Data Management in Global Health
( 25 Modules )

Module #1
Introduction to Data Management in Global Health
Overview of the importance of data management in global health, course objectives, and key concepts

Module #2
Global Health Data Landscape
Overview of global health data sources, systems, and stakeholders

Module #3
Data Quality and Standards
Importance of data quality, data standards, and data governance in global health

Module #4
Data Collection Methods in Global Health
Overview of data collection methods, including surveys, surveillance, and electronic health records

Module #5
Data Management Tools and Technologies
Introduction to data management tools and technologies, including Excel, Access, and open-source alternatives

Module #6
Data Analysis Fundamentals
Basic concepts of data analysis, including data cleaning, data visualization, and statistical inference

Module #7
Working with Global Health Data Sets
Hands-on experience working with global health data sets, including Demographic and Health Surveys (DHS) and World Health Organization (WHO) data

Module #8
Data Visualization in Global Health
Best practices for data visualization in global health, including use of Tableau, Power BI, or D3.js

Module #9
Introduction to Epidemiology and Surveillance
Basic principles of epidemiology and surveillance, including outbreak investigation and response

Module #10
Surveillance Systems and Data Management
Design and implementation of surveillance systems, including data management and analysis

Module #11
Electronic Health Records (EHRs) in Global Health
Overview of EHR systems, data standards, and interoperability in global health

Module #12
Mobile Health (mHealth) Data Management
Data management considerations for mHealth interventions, including data collection, storage, and analysis

Module #13
Data Security and Privacy in Global Health
Importance of data security and privacy in global health, including ethical considerations and best practices

Module #14
Data Sharing and Collaboration in Global Health
Best practices for data sharing and collaboration, including data repositories and data sharing agreements

Module #15
Global Health Data Standards and Interoperability
Overview of global health data standards, including HL7, FHIR, and IHE

Module #16
Data Use and Decision-Making in Global Health
Using data to inform decision-making in global health, including data-driven policy and program planning

Module #17
Monitoring and Evaluation (M&E) in Global Health
Overview of M&E frameworks, indicators, and data management considerations in global health

Module #18
Geographic Information Systems (GIS) and Spatial Analysis
Introduction to GIS and spatial analysis in global health, including disease mapping and spatial epidemiology

Module #19
Big Data and Analytics in Global Health
Overview of big data analytics in global health, including machine learning and predictive modeling

Module #20
Data Management for Disease Control and Elimination
Data management considerations for disease control and elimination programs, including case detection and outbreak response

Module #21
Data Management for Health Systems Strengthening
Data management considerations for health systems strengthening, including health information systems and supply chain management

Module #22
Data Management for Humanitarian Response and Emergency Operations
Data management considerations for humanitarian response and emergency operations, including rapid assessment and needs assessment

Module #23
Case Studies in Data Management for Global Health
Real-world case studies of data management in global health, including successes and challenges

Module #24
Data Management for Global Health Research
Data management considerations for global health research, including study design, data collection, and data analysis

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Management in Global Health career

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Data Management in Global Health ( 25 Modules )

Data Management in Global Health
( 25 Modules )