Quantifying human-environment interactions using videography in the context of infectious disease transmission

  • Timothy R. Julian Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf; University of Basel, Basel; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Carla Bustos Community, Environment and Policy Department, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Arizona, United States.
  • Laura H. Kwong Department of Civil and Environmental Engineering, Stanford University, Stanford, California, United States.
  • Alejandro D. Badilla Community, Environment and Policy Department, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Arizona, United States.
  • Julia Lee Gusto, San Francisco, California, United States.
  • Heather N. Bischel Department of Civil and Environmental Engineering, University of California, Davis, California, United States.
  • Robert A. Canales | rcanales@email.arizona.edu Community, Environment and Policy Department, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Arizona, United States.

Abstract

Quantitative data on human-environment interactions are needed to fully understand infectious disease transmission processes and conduct accurate risk assessments. Interaction events occur during an individual’s movement through, and contact with, the environment, and can be quantified using diverse methodologies. Methods that utilize videography, coupled with specialized software, can provide a permanent record of events, collect detailed interactions in high resolution, be reviewed for accuracy, capture events difficult to observe in real-time, and gather multiple concurrent phenomena. In the accompanying video, the use of specialized software to capture humanenvironment interactions for human exposure and disease transmission is highlighted. Use of videography, combined with specialized software, allows for the collection of accurate quantitative representations of human-environment interactions in high resolution. Two specialized programs include the Virtual Timing Device for the Personal Computer, which collects sequential microlevel activity time series of contact events and interactions, and LiveTrak, which is optimized to facilitate annotation of events in real-time. Opportunities to annotate behaviors at high resolution using these tools are promising, permitting detailed records that can be summarized to gain information on infectious disease transmission and incorporated into more complex models of human exposure and risk.

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Published
2018-05-08
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Issue
Section
vHealth Communications
Keywords:
Videography, Human-environment interactions, Microlevel activity time series, Risk assessment.
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How to Cite
Julian, T. R., Bustos, C., Kwong, L. H., Badilla, A. D., Lee, J., Bischel, H. N., & Canales, R. A. (2018). Quantifying human-environment interactions using videography in the context of infectious disease transmission. Geospatial Health, 13(1). https://doi.org/10.4081/gh.2018.631