Prediction of compliance with preventive measures among teachers in the context of the COVID-19 pandemic

Elena Laroche, Pierre-Sébastien Fournier and Nafissatou Cynthia Ouedraogo

Technological Forecasting and Social Change, 2023, vol. 192, issue C

Abstract: The objective of this study is to examine, in primary and high schools, teachers' compliance with preventive infection control measures (in the context of the COVID-19 pandemic). Inspired by the technology acceptance model (TAM) and occupational health and safety (OHS) literature on personal protective equipment (PPE) use, we propose a model of compliance with preventive measures among teachers. Data were collected following an observational, cross-sectional design. The data for the study were collected via a questionnaire survey of teachers working in the province of Quebec, Canada. To study the impact of the explanatory variables on the dependent variable, we developed a multiple linear regression model. This model was estimated to assess the preventive measures as a whole (six items). Results show that having tested positive for a COVID test in the last year, judging that the situation does not require the use of the mask or the protective glasses, training received on preventive measures, factors related to comfort and use of protective eyewear, as well as age influence teacher compliance with COVID-19 preventive measures.

Keywords: Preventive measures; Prediction; COVID-19; Personal protective equipment; Occupational health (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:192:y:2023:i:c:s0040162523002494

DOI: 10.1016/j.techfore.2023.122564

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