Evaluating and volunteering for crowdsourced interventions: Cross-sectional data on COVID-19 safety from a University Survey

Evaluating and volunteering for crowdsourced interventions: Cross-sectional data on COVID-19 safety from a University Survey

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Despite many innovative ideas generated in response to COVID-19, few studies have examined community preferences for these ideas. Our study aimed to determine university community members’ preferences for three novel ideas identified through a crowdsourcing open call at the University of North Carol...

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Bibliographic Details
Main Authors: Suzanne Day, Takhona Grace Hlatshwako, Anna Lloyd, Larry Han, Weiming Tang, Barry Bayus, Joseph D. Tucker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521840/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521840/?tool=EBI

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