Open AccessEvaluating and volunteering for crowdsourced interventions: Cross-sectional data on COVID-19 safety from a University Survey
Author(s) -
S. Day,
T.G. Hlatshwako,
A. Lloyd,
L. Han,
W. Tang,
B. Bayus,
J.D. Tucker
Publication year - 2022
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/1g6m-w905
Subject(s) - covid-19 , psychological intervention , crowdsourcing , cross sectional study , psychology , data science , medicine , computer science , world wide web , virology , nursing , outbreak , disease , pathology , infectious disease (medical specialty)