Using video-analysis technology to estimate social mixing and simulate influenza transmission at a mass gathering.

ABSTRACT: Mass gatherings create settings conducive to infectious disease transmission. Empirical data to model infectious disease transmission at mass gatherings are limited. Video-analysis technology could be used to generate data on social mixing patterns needed for simulating influenza transmission at mass gatherings. We analyzed short video recordings of persons attending the GameFest event at a university in Troy, New York, in April 2013 to demonstrate the feasibility of this approach. Attendees were identified and tracked during three randomly selected time periods using an object-tracking algorithm. Tracks were analyzed to calculate the number and duration of unique pairwise contacts. A contact occurred each time two attendees were within 2 m of each other. We built and tested an agent-based

SUBMITTER: Rainey JJ 

PROVIDER: S-EPMC12767470 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature