Objective. Vaccination will be instrumental in controlling the COVID-19 pandemic, and vaccination of children will be necessary to achieve herd immunity. Given that children with chronic health conditions may be at increased risk of COVID-19, it is crucial to understand factors in uencing parental decisions about whether to have their child vaccinated. The study objectives were to measure parental intent to have their child with asthma vaccinated against COVID-19 and identify the determinants of their vaccination decision. Study design. This study is based on a cross-sectional exploratory observational online survey assessing parents' risk perception in the context of COVID-19. Methods. In this study conducted in August 2020, the primary outcome was parent's answer to the question on their intention to get their child vaccinated if a vaccine against COVID-19 was available. Participants were also asked about their intention to get vaccinated themselves. Independent variables studied included sociodemographic, clinical data (e.g. presence of other chronic diseases), psychological, cognitive and

Objective Vaccination will be instrumental in controlling the COVID-19 pandemic, and vaccination of children will be necessary to achieve herd immunity. Given that children with chronic health conditions may be at increased risk of COVID-19, it is crucial to understand factors influencing parental decisions about whether to have their child vaccinated. The study objectives were to measure parental intent to have their child with asthma vaccinated against COVID-19 and identify the determinants of their vaccination decision. Study design This study is based on a cross-sectional exploratory observational online survey assessing parents' risk perception in the context of COVID-19. Methods In this study conducted in August 2020, the primary outcome was parent’s answer to the question on their intention to get their child vaccinated if a vaccine against COVID-19 was available. Participants were also asked about their intention to get vaccinated themselves. Independent variables studied included sociodemographic, clinical data (e.g. presence of other chronic diseases), psychological, cognitive and risk perception related to COVID-19. Simultaneous equations models (3SLS) and seemingly unrelated regressions model (SUR) were carried out to identify factors associated with intention to have the child vaccinated and participants’ intention to get vaccinated themselves against COVID-19. Results A total of 305 participants completed the survey. Overall, 19.1% of participants reported being unlikely or very unlikely to vaccinate their child against COVID-19 if a vaccine was available. Similarly, 21.0% were unlikely or very unlikely to get vaccinated themselves. The following factors were significantly associated with parents’ decision to have their child vaccinated: parental level of education (p = 0.003), employment status (p < 0.001), sex of the child (p = 0.019), presence of other chronic diseases (p = 0.028), whether or not the child had been vaccinated against influenza in the past (p < 0.001), parental anxiety (p = 0.046), and consultation with a health professional since the beginning of the pandemic (p = 0.009). There was a strong relationship between likelihood of not intending to have one’s child vaccinated and personal intent not to get vaccinated. Conclusion These findings are essential in planning for the communication and dissemination of COVID-19 vaccination information to parents, especially for children with asthma or other chronic medical conditions.

The expansion of information sources and their use has accelerated since the beginning of the COVID-19 pandemic, sometimes provoking significant concern in the daily lives of parents. The objective of this study was to investigate the association between COVID-19 related information sources and the level of concern about COVID-19 among parents of school-aged children. Using factor analysis and hierarchical ascending classification, we constructed groups according to the information sources they used. We performed ANOVA analysis and then binomial logistic regression to compare concern levels among the groups created. Overall, the 3,459 participants were mainly women (79.2%) and 59.5% reported being between 35 and 44 years old. The mean concern score in our sample was 9.5/15 (s.d. = 3.87). The whole sample fell into three groups: (1) Traditional Media (n = 1,610), who mainly used newspapers; (2) Online Social Networks and Entourage (n = 776), who mostly consulted online social media as well as friends and family; and (3) the Unplugged (n = 1,073), who consulted few or no information sources. Compared to the Unplugged, individuals in the other two groups had a higher risk of being concerned (Traditional Media, OR = 2.2; p &lt; 0.001; Social Networks and Entourage, OR = 3.1; p &lt; 0.001). Communication about pandemic risk should be conveyed based on reliable information and at moderate intervals to safeguard the mental health of individuals.

L'épidémie de COVID-19 nous impose des changements structurels profonds tant sur les plans économiques que sanitaires et les méthodologies classiques doivent être perfectionnées pour mieux adapter les décisions de santé publique. Dans ce cadre, l'économie comportementale, au croisement des sciences économiques et de la psychologie sociale, est un domaine incontestablement innovant en la matière. En effet, contrairement aux modèles classiques, cette discipline intègre les déterminants psychosociaux dans les modèles économiques pour mieux prédire les comportements des individus. Depuis une vingtaine d'années, la communauté scientifique utilise l'outil quantitatif de cette approche, l'économie expérimentale, dans de nombreux secteurs de la santé tels que la prévention, la promotion, les ressources humaines et la signalisation sociale. Les études menées ont apporté des solutions efficaces pour améliorer les bonnes pratiques sanitaires et sont des inspirations à ne pas négliger pour la lutte contre la COVID-19. Elles ont permis notamment de redonner une place centrale au comportement naturel de l'homme, de comprendre comment l'environnement socio-économique influence les individus et d'anticiper les réactions humaines pour adapter rapidement les politiques publiques.

Objective . Vaccination will be instrumental in controlling the COVID-19 pandemic, and vaccination of children will be necessary to achieve herd immunity. Given that children with chronic health conditions may be at increased risk of COVID-19, it is crucial to understand factors influencing parental decisions about whether to have their child vaccinated. The study objectives were to measure parental intent to have their child with asthma vaccinated against COVID-19 and identify the determinants of their vaccination decision. Study design . This study is based on a cross-sectional exploratory observational online survey assessing parents' risk perception in the context of COVID-19. Methods . In this study conducted in August 2020, the primary outcome was parent’s answer to the question on their intention to get their child vaccinated if a vaccine against COVID-19 was available. Participants were also asked about their intention to get vaccinated themselves. Independent variables studied included sociodemographic, clinical data (e.g. presence of other chronic diseases), psychological, cognitive and risk perception related to COVID-19. Simultaneous equations models (3SLS) and seemingly unrelated regressions model (SUR) were carried out to identify factors associated with intention to have the child vaccinated and participants’ intention to get vaccinated themselves against COVID-19. Results . A total of 305 participants completed the survey. Overall, 19.1% of participants reported being unlikely or very unlikely to vaccinate their child against COVID-19 if a vaccine was available. Similarly, 21.0% were unlikely or very unlikely to get vaccinated themselves. The following factors were significantly (p ≤ 0.05) associated with parents’ decision to have their child vaccinated: parental level of education, employment status, sex of the child, presence of other chronic diseases, whether or not the child had been vaccinated against influenza in the past, parental anxiety, and consultation with a health professional since the beginning of the pandemic. There was a strong relationship between likelihood of not intending to have one’s child vaccinated and personal intent not to get vaccinated. Conclusion . These findings are essential in planning for the communication and dissemination of COVID-19 vaccination information to parents, especially for children with asthma or other chronic medical conditions.