Magic Wand Appliance to Help Engage Popular Epidemiology

Tracking pollutant concentrations
Industrial factories releasing large pollutant clouds

Available for Licensing
TRL: 7

IP Status

US Patent: US 2021/0183488


Steven J Simske
Bradley Reisfeld
Wes Anderson
Doreen E Martinez

Reference No: 2020-024
Licensing Manager

Jessy McGowan

At a Glance

Researchers at Colorado State University have developed a system that can, through specific sensors, collect gas, liquid, and solid samples from an environment for their reading to foster the movement toward “popular epidemiology.”  This platform will not only provide a means for collecting important data, but also engage and educate members in the community about pollution, associated adverse health effects, and their exposure environment.



Popular epidemiology refers to the social movement, or mobilization of citizens around the goal of identifying and ameliorating environmental stressors and local illness patterns that are traditionally done by corporations, experts and officials.


With advances in pollution monitoring technologies, and the increasing popularity of mobile devices, social media, and cloud-based information sharing, there is a growing opportunity for individuals to participate in identifying and mitigating pollution and associated local illness patterns in their communities.

  • System wirelessly transmits information in real time
  • Assists community members in understanding, responding, and reducing the pollutant concentrations to which they are exposed
  • Engages and educates members of the community
  • Environmental and health-care scientist can associate pollutant levels and local illness patterns
  • Increases optimal responses to health hazards in real time
  • Track various pollutant concentrations in real time ‑ applicable from an environmental and public health standpoint
  • Popular Epidemiology


Anderson, et al. (2020) A Handheld Device for Intentional Sensing of Environmental Analytes. IAE. Biomed Sci Instrum Vol 56(2) P 207-218.

W. Anderson, et al. (2020) At-Home Healthcare Through Smart-Environmental Sensing, Including Biometrics for Multi-Factor Authentication. 2020 IEEE ICHI.  doi: 10.1109/ICHI48887.2020.937433

Last updated: April 2022