About: Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens.

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About: Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens. Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens.
Creator	Van Velsen, Lex Den Ouden, Marjolein Hurmuz, Marian Jansen -Kosterink, Stephanie
source	MedRxiv
abstract	Introduction: eHealth applications have been recognized as a valuable tool to reduce COVID-19s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD=17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.
has issue date	2020-06-02(xsd:dateTime)
bibo:doi	10.1101/2020.06.02.20113423
has license	medrxiv
sha1sum (hex)	6a4fdcd3c1898a5bc0eefe3a211e01898027ee2a
schema:url	https://doi.org/10.1101/2020.06.02.20113423
resource representing a document's title	Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens.
resource representing a document's body	covid:6a4fdcd3c1898a5bc0eefe3a211e01898027ee2a#body_text
is schema:about of	named entity 'COVID-19' named entity 'monitoring' named entity 'number' named entity 'applications' named entity 'COVID-19' »more»

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