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March 18, 2026PLoS ONE0 citationsOpen Access

Risk identification strategies for health pandemics and epidemics on college campuses: A comprehensive analysis of heat maps and behavioral observations

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MLMatthew M. LaskeABAbigail L. BlackmanFOFernanda S. Oda

Key Points

  • The aim was to assess behavioral risk related to mask-wearing during the COVID-19 pandemic on a college campus.
  • Conducted direct observation of mask-wearing behavior across various campus locations.
  • Executed surveys using a click-based campus map to identify mask-wearing patterns and create heat maps.
  • Validated identified locations through follow-up direct observation analyses.
  • Mask-wearing was generally high under enforced policies, but lower in group settings compared to alone.
  • Heat maps displayed spatially distinct areas of high and low mask-wearing, verified through direct observation.

Abstract

Objective The purpose of the current studies was to use direct observation and surveys to assess behavioral risk on a college campus during the COVID-19 pandemic. Methods Study 1 used direct observation to monitor safe and at-risk mask-wearing behavior across multiple campus locations and whether mask-wearing differed when individuals were alone or in groups. Study 2 surveyed college students through a click-based campus map survey to identify high- and low-mask-wearing locations on campus and create data heat maps indicating at-risk behaviors. Direct observation analyses were then used to verify the identified locations. Results Study 1 revealed that mask-wearing was likely during a mask-wearing policy implemented across the college campus. However, mask-wearing was less likely when people were in groups than alone. Study 2 showed that survey responses and the heat map analysis identified spatially distinct locations of perceived high and low mask-wearing. These data were validated through direct observation, verifying high and low mask-wearing at the identified locations. Conclusions Survey heat maps paired with direct observation can help identify specific locations where safe and at-risk behaviors are most likely to occur. By identifying special patterns of risk, this comprehensive approach offers actionable information to guide interventions, policy enforcement, and resource allocation during health epidemics.

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Cite This Study

Laske et al. (2026) studied this question.

synapsesocial.com/papers/69ba43984e9516ffd37a5023https://doi.org/10.1371/journal.pone.0343811
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