Public Health Data Visualization and Reporting
** available as of 01/01/2026
** available as of 01/01/2026
Prerequisites: Students must have completed MPBH 421 (Biostatistics II) or equivalent experience in biostatistical methods and public health principles.
This course is designed to navigate the intersection of public health data, visual communication, and ethical representation, focusing on creating impactful visuals that cater to diverse audiences including patients, healthcare providers, policymakers, and the broader community. It emphasizes the ethical considerations in data visualization, tackling potential biases, and ensuring visuals are both informative and accessible. Through practical applications, students will learn to craft infographics, community health maps, dashboards, and effective manuscript tables, all while understanding the unique needs of different user groups. The course will explore advanced visualization techniques like heatmaps, interaction visuals, and temporal data displays, equipping students with the skills to present complex health data.
Outcomes: Develop the ability to create impactful and ethically responsible visual representations of public health data tailored to diverse audiences, including patients, healthcare providers, policymakers, and the general public; Explore advanced data visualization techniques, including heatmaps, interactive visuals, and temporal data displays, to effectively present complex health information; Apply ethical considerations in data visualization, addressing potential biases and ensuring that visuals are accurate, accessible, and inclusive; Design visual communication strategies into public health research and reporting to enhance the impact and understanding of data-driven insights.
This course is designed to navigate the intersection of public health data, visual communication, and ethical representation, focusing on creating impactful visuals that cater to diverse audiences including patients, healthcare providers, policymakers, and the broader community. It emphasizes the ethical considerations in data visualization, tackling potential biases, and ensuring visuals are both informative and accessible. Through practical applications, students will learn to craft infographics, community health maps, dashboards, and effective manuscript tables, all while understanding the unique needs of different user groups. The course will explore advanced visualization techniques like heatmaps, interaction visuals, and temporal data displays, equipping students with the skills to present complex health data.
Outcomes: Develop the ability to create impactful and ethically responsible visual representations of public health data tailored to diverse audiences, including patients, healthcare providers, policymakers, and the general public; Explore advanced data visualization techniques, including heatmaps, interactive visuals, and temporal data displays, to effectively present complex health information; Apply ethical considerations in data visualization, addressing potential biases and ensuring that visuals are accurate, accessible, and inclusive; Design visual communication strategies into public health research and reporting to enhance the impact and understanding of data-driven insights.