Quantifying human-environment interactions using videography in the context of infectious disease transmission
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Julian, Timothy R.Bustos, Carla
Kwong, Laura H.
Badilla, Alejandro D.
Lee, Julia
Bischel, Heather N.
Canales, Robert A.
Affiliation
Univ Arizona, Community Environm & Policy Dept, Mel & Enid Zuckerman Coll Publ HlthIssue Date
2018
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UNIV NAPLES FEDERICO IICitation
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.2018.631Journal
GEOSPATIAL HEALTHRights
©Copyright T.R. Julian et al., 2018Collection Information
This 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 repository@u.library.arizona.edu.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 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.Note
Open access journal.ISSN
1970-70961827-1987
PubMed ID
29772893Version
Final published versionSponsors
Mel and Enid Zuckerman College of Public Health, University of Arizona; EawagAdditional Links
https://www.geospatialhealth.net/index.php/gh/article/view/631ae974a485f413a2113503eed53cd6c53
10.4081/gh.2018.631
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