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

Véronique RenaultSébastien FontaineSerge Eugène MpouamClaude Saegerman
Published in: Transboundary and emerging diseases (2021)
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 on-line 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, (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. This article is protected by copyright. All rights reserved.
Keyphrases
  • healthcare
  • mental health
  • primary care
  • quality improvement
  • sars cov
  • cross sectional
  • clinical trial
  • randomized controlled trial
  • medical students
  • drug delivery
  • clinical evaluation