A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people's perceptions on social media to understand their sentiment presents a powerful medium for researchers to identify the causes of vaccine hesitancy and therefore develop appropriate public health messages and interventions. To the best of the authors' knowledge, previous studies have presented vaccine hesitancy in specific cases or within one scientific discipline ( i.e., social, medical, and technological ). No previous study has presented findings via sentiment analysis for multiple scientific disciplines as follows: ( 1 ) social, ( 2 ) medical, public health, and ( 3 ) technology sciences. Therefore, this research aimed to review and analyze articles related different vaccine hesitancy cases in the last 11 years and understand the application of sentiment analysis on the most important literature findings. Articles were systematically searched in Web of Science , Scopus , PubMed , IEEEXplore , ScienceDirect , and Ovid from January 1, 2010, to July 2021. A total of 30 articles were selected on the basis of inclusion and exclusion criteria. These articles were formed into a taxonomy of literature, along with challenges, motivations, and recommendations for social, medical, and public health and technology sciences. Significant patterns were identified, and opportunities were promoted towards the understanding of this phenomenon.

Recently, the identification and detection of children with autism spectrum disorder (ASD) has become an essential issue under ASD intervention services. The high percentage of ASD among children requires preschool teachers to recognizse children’s abnormal development and identify them at an early stage, followed by referral to specialists. Therefore, this identification calls for a specific ability among preschool teachers, identified as knowledge, belief, identification skills, and self-efficacy (KBISSE). This conceptual framework aims to utilize the current literature to present a discussion on preschool teachers’ KBISSE in identifying children with ASD and making decisions to refer children suspected with ASD to specialists. The conceptual framework is discussed based on social cognitive theory (SCT) and the health belief model (HBM). The conceptual framework emphasizes the need for preschool teachers to be educated in ASD via an educational module that could increase teachers’ self-efficacy in identifying children with ASD. Besides, knowledge in ASD, belief in ASD, and identification skills are also necessary variables for building the educational module. The educational module is useful for guiding future research on preschool teachers’ identification of children with any disability, one of which is ASD, and subsequent specialist referral at an early stage.

It is perplexing that some preschool teachers not only advise parents who have children with autism spectrum disorder (ASD) to go to religious healers, but also attribute such neurological disorders to the curse of the “evil eye” or vaccines. Although it is now the twentieth century, this behavior simply reflects the concerns of over-protective teachers and the cultural misperceptions about the actual definition of ASD. In Yemen, the term “ASD”, with its wide range of symptoms, is still ambiguous among preschool teachers. Thus, in a rather insightful piece for the education community, this study has attempted to look beneath the surface of the beliefs (religious belief–social belief–personal belief) of Yemeni preschool teachers regarding ASD. Based on the data collected from 213 teachers (20–30\31–40-~≥40 age) in the Taiz district, this study found that misconceptions specific to autism spectrum disorder were strongly evidenced among teachers who taught preschoolers. Due to personal ignorance and growing superstitions, these teachers tend to believe the society’s perceptions of ASD, thus resulting in the ignorance of scientific views. However, the mass media can increase this group’s awareness of ASD by continually assessing the inaccurate views on ASD, and correcting them. And by influencing the teachers to take a more conceptual scientific approach in serving their special needs students, furthermore, by informing preschool teachers of children’s rights in normal life in the future through providing children with an optimal chance of development by early intervention.

Backgrounds Accurate measurement and suitable strategies facilitate people regulate their sadness in an effective manner. Regulating or mitigating negative emotions, particularly sadness, is crucial mainly because constant negative emotions may lead to psychological disorders, such as depression and anxiety. This paper presents an overview of sadness regulation strategies and related measurement. Method Upon adhering to five-step scoping review, this study combed through articles that looked into sadness regulation retrieved from eight databases. Results As a result of reviewing 40 selected articles, 110 strategies were identified to regulate emotions, particularly sadness. Some of the most commonly reported strategies include expressive suppression, cognitive reappraisal, distraction, seeking social or emotional support, and rumination. The four types of measures emerged from the review are self-reported, informant report (parents or peers), open-ended questions, and emotion regulation instructions. Notably, most studies had tested psychometric properties using Cronbach’s alpha alone, while only a handful had assessed validity (construct and factorial validity) and reliability (Cronbach’s alpha or test-retest) based on responses captured from questionnaire survey. Conclusion Several sadness regulation strategies appeared to vary based on gender, age, and use of strategy. Despite the general measurement of emotion regulation, only one measure was developed to measure sadness regulation exclusively for children. Future studies may develop a comprehensive battery of measures to assess sadness regulation using multi-component method.