Quantifying human-environment interactions using videography in the context of infectious disease transmission
AuthorJulian, Timothy R.
Kwong, Laura H.
Badilla, Alejandro D.
Bischel, Heather N.
Canales, Robert A.
AffiliationUniv Arizona, Community Environm & Policy Dept, Mel & Enid Zuckerman Coll Publ Hlth
MetadataShow full item record
PublisherUNIV NAPLES FEDERICO II
CitationJulian, 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
Rights©Copyright T.R. Julian et al., 2018
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractQuantitative 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 human-environment 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.
NoteOpen access journal.
VersionFinal published version
SponsorsMel and Enid Zuckerman College of Public Health, University of Arizona; Eawag