Course Description:

    Uncover the power of epidemiological data analysis and management with our "Introduction to Epi Info 7" course. Epi Info, a FREE and open-source software developed by the Centers for Disease Control and Prevention (CDC), is an essential tool for public health/public safety professionals, analysts, and researchers. This course provides a comprehensive introduction to Epi Info 7, equipping participants with the skills needed to collect, analyze, and visualize epidemiological data efficiently.

    Key Learning Objectives:

    1. Introduction to Epidemiology:

      • Understanding the principles and importance of epidemiology
      • Identifying key terminologies and concepts in public health / public safety
    2. Overview of Epi Info 7:

      • Introduction to Epi Info software and its evolution
      • Navigating the Epi Info 7 interface
    3. Creating and Managing Databases:

      • Designing and creating databases for epidemiological studies
      • Importing and managing data from various sources
    4. Data Entry and Validation:

      • Efficient data entry techniques in Epi Info 7
      • Implementing data validation rules for accuracy
    5. Descriptive Statistics and Data Analysis:

      • Generating descriptive statistics for epidemiological data
      • Conducting basic data analysis using Epi Info 7 tools
    6. Epi Maps and Visualization:

      • Creating epidemiological maps for spatial analysis
      • Visualizing data trends and patterns
    7. Case-Control Studies and Analysis:

      • Understanding case-control study design
      • Performing case-control analyses in Epi Info 7
    8. Outbreak Investigations:

      • Utilizing Epi Info for outbreak investigations
      • Analyzing and interpreting outbreak data
    9. Data Export and Reporting:

      • Exporting data for external analysis
      • Creating reports and visualizations for communication
    10. Advanced Features and Customization:

      • Exploring advanced features in Epi Info 7
      • Customizing forms and reports to suit specific study needs
    11. Quality Assurance in Epidemiological Data:

      • Implementing quality assurance measures in data collection and analysis
      • Identifying and addressing common challenges in epidemiological studies

    This course combines theoretical knowledge with hands-on practical exercises, enabling participants to gain proficiency in utilizing Epi Info 7 for epidemiological research and public health applications. Whether you are a public health / public safety professional, researcher, or student, this course provides a solid foundation for harnessing the capabilities of Epi Info 7 in epidemiological data management and analysis.

      Course Description:

      Unlock the power of spatial data analysis and visualization with our "Introduction to QGIS" course. Quantum GIS (QGIS) is a FREE, open-source, user-friendly Geographic Information System (GIS) that allows users to create, edit, visualize, and analyze spatial data. Using QGIS provides local emergency management professionals GIS tools that are otherwise financially out of reach. Whether you're a beginner in GIS or looking to enhance your geospatial skills, this course provides a basic introduction to the fundamentals of QGIS.

      Key Learning Objectives:

      1. Understanding GIS Concepts:

        • Introduction to Geographic Information Systems (GIS)
        • Basics of spatial data and its significance
        • Key terminology in GIS
      2. Getting Started with QGIS:

        • Installation and setup of QGIS
        • Interface overview and customization
        • Loading and managing spatial data
      3. Data Visualization and Styling:

        • Symbolization and styling of vector and raster layers
        • Labeling and annotation for effective map communication
        • Creating visually appealing maps
      4. Spatial Analysis Techniques:

        • Spatial queries and selections
        • Buffering and overlay analysis
        • Geoprocessing tools for data manipulation
      5. Data Editing and Digitization:

        • Introduction to editing vector data
        • Digitizing features and capturing spatial data
        • Topology and data integrity considerations
      6. Coordinate Reference Systems (CRS) and Projections:

        • Understanding coordinate systems
        • Projecting and transforming spatial data
        • Working with different CRS in QGIS
      7. Cartographic Principles:

        • Principles of map design and layout
        • Creating map compositions
        • Exporting and sharing maps
      8. Introduction to QGIS Plugins:

        • Overview of useful plugins for additional functionality
        • Installation and usage of selected plugins
      9. Real-world Applications and Case Studies:

        • Practical examples and case studies demonstrating the application of QGIS in different fields
        • Industry-specific use cases

      By the end of this course, participants will have gained practical experience in utilizing QGIS for various spatial data tasks and will be equipped with the knowledge to confidently work with geospatial data in their respective fields. Whether you are a student, researcher, or professional, this course will empower you to harness the full potential of QGIS in your spatial data analysis and mapping endeavors.

      This training is available for users identified as group, department, or system administrators of the LANC-Alert platform. It provides video tutorials on the most commonly used functions of the system.

      This short training segment shows you how to sign up for, and manage your LANC-Alert account.