4.6 Article

Main determinants of the acceptance of COVID-19 control measures by the population: A first pilot survey at the University of Liege, Belgium

Journal

TRANSBOUNDARY AND EMERGING DISEASES
Volume 69, Issue 4, Pages E1065-E1078

Publisher

WILEY-HINDAWI
DOI: 10.1111/tbed.14410

Keywords

acceptability; attitudes; control; COVID-19; Health Belief Model; prevention; saliva testing

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The study assessed the acceptance of COVID-19 control measures among University of Liege workers and students, finding that health motivation, susceptibility, severity, and perceived benefits were key determinants. It is recommended to raise awareness among the university community about their responsibility to protect themselves and others, particularly targeting non-medical faculties with lower health motivation. This survey suggests that risk mitigation strategies should consider individual perceptions and can be generalized in different contexts.
Background In order to control the COVID-19 pandemic, barrier gestures were used to reduce the transmission of the virus within a community and avoid large peaks of infections with the risk of overwhelming the healthcare systems. The acceptability of these measures is the backbone of their successful implementation. However, population compliance with these measures within a community is uncertain, even when mandatory. At the beginning of the 2020-2021 academic year, the University of Liege complemented these measures, by organizing a weekly screening by saliva testing on a voluntary basis for all its workers and students. Their compliance with the different measures was necessary for effective control program and an intensive communication plan was implemented throughout the 2020-2021 academic year for that purpose Method and principal findings An online survey was launched upon the implementation of the saliva testing in order (i) to assess the level of acceptance of the different measures by the university workers and students and (ii) to identify the factors determining their acceptance (based on the Health Belief Model) and their reported level of implementation. A total of 921 responses was received and analysed by sub-group comparison, structural equation modelling and multivariable ordinal logistic regression. Health motivation, susceptibility, severity and perception of benefits were identified as the key determinants of protective measures acceptance Conclusion and significance In order to influence positively these mental constructs and to increase the level of implementation of control measures, it is therefore recommended to raise the awareness of the university workers and students about their self and collective responsibility to protect themselves and the population at risk that can be severely affected by the disease. The non-medical faculties (i.e. the Faculty of Medicine and the Faculty of Veterinary Medicine excluded) should be specifically targeted as their heath motivation was significantly lower. This survey demonstrates that the risk mitigation strategies against COVID-19 should integrate the importance of individual perception. The methodology developed in this survey can be generalised in space and time, in different contexts.

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