Environmental health (EH) is the study of physical, chemical, and biological factors in the environment that affect human health. EH data include environmental exposures, health outcomes, and socioeconomic status (SES), which are often place-based or have geographic correlations. This chapter aims to develop students’ spatial literacy skills to address two EH themes—environmental disparities and exposure-health associations—with open online mapping tools. Environmental disparity studies address the disproportionate exposures among populations of low SES and of color. Students will learn to use EJScreen to display maps of emission clusters, pollution levels, and SES, and interpret their relationships. Environmental exposures are associated with multiple adverse health outcomes—e.g., respiratory and cardiovascular diseases. Students will explore the associations by comparing spatial patterns of exposure and disease generated with EJScreen and PLACES, respectively. Students will gain an impression of EH topics and online geospatial tools with class activities and examples.This activity is associated with a chapter in Spatial Literacy in Public Health: Faculty-Librarian Teaching Collaborations (ACRL, 2024).

Public health concerns are often multi-faceted, complex problems. Any exploratory analysis conducted to support public health concerns should be scalable to this multi-attribute nature. This activity pairs with a chapter focused on spatial clustering techniques for multivariate analysis, which can reveal the locations with unusually high or low occurrences of multiple diseases. We will use obesity and insufficient sleep, which often occur together, as conditions to analyze considering their serious impacts on public health. Once contributing factors are determined, policymakers can be informed so that they can begin to address the negative impacts.In the activity, students will use SaTScan to find spatiotemporal hotspots and coldspots in obesity and insufficient sleep data representing American children. After a brief Q&A session, students will follow the walkthrough to complete the spatial clustering with SaTScan (Version 9.4). (SaTScan is a free software designed to detect clusters of spatial, temporal, or spatiotemporal data using scan statistics. This allows for complex relationships within the data to be revealed and explored. You can download SaTScan at https://www.satscan.org/.) The lecture can be closed with a discussion session where students will evaluate the statistically significant hotspots where they are found.LEARNING OUTCOMESBy the end of this lesson, students will be able to• analyze multivariate spatiotemporal data on obesity and insufficient sleep among children by using SaTScan;• interpret and evaluate hotspots and coldspots regions; and• create spatial cluster maps by handling spatial data files.This activity is part of Spatial Literacy in Public Health: Faculty-Librarian Teaching Collaborations (ACRL, 2024).

A learning activity PowerPoint about appropriation or re-use of art history images to create memes, and how knowledge about the original artwork in context can provide a deeper understanding of the people and society that created the work.

An open access MOOC in French to bonify the information literacy skills of university students (with Moodle).

This assignment has students analyzing data presented in graphs, charts and infographics that are pre-selected by librarian and instructor based on how poorly the information is being presented through various outlets.

Evaluating a political news story presented in social media.