The effects of the cognitive bias of unrealistic optimism in the adoption of preventive measures against COVID-19 in dentistry.

Introduction: The bias of unrealistic optimism is people's tendency to believe that they are less likely to experience negative events than others. Dental professionals are part of a high-risk group for COVID-19. Objectives: The objective of this study is to investigate whether unrealistic optimism bias, concern, and regret can affect the adoption of preventive measures by these professionals. Methods: We conducted a cross-sectional observational study of dentists recruited remotely by using an electronic form sent by email and social media. A five-point scale was used to identify whether unrealistic optimism, concern, and regret affected the adoption of preventive measures. The study included a total of 339 dentists. The group considered to be unrealistically optimistic accounted for 24.8% of the sample. Results: Unrealistic optimism negatively affected the use of protective equipment by dental professionals. Conversely, concern positively affected preventive measures. Conclusions: Although most dentists are realistic about the risk of infection compared with their peers, those with optimistic bias might be more susceptible to the disease, as they tend not to adopt recommended protective measures in the workplace. Future studies should also investigate ways of debiasing.

Innovative reflection on oral cancer research priorities: the contribution of social network analysis.

The objective of this study is to present a tool to help understand how variables associated with oral cancer prevention relate to each other in a social network. A search of the Scopus database was performed using terms related to oral cancer and prevention from 2000 to 2020. The keywords were used as nodes and were analyzed using NodeXL, which produced the network graphic analysis. From the 1004 publications available, 4038 different keywords were obtained and then grouped into 75 constructs based on conceptual similarity. The most influential nodes were risk factors, comorbidities, epidemiology, and treatment. However, topics such as technology, telemedicine, self-examination, and diagnostic delay remain far removed from central relations. Network analysis enabled us to observe the bias of biological and basic science in the field and identify a need for studies concerning primary prevention, behavioral interventions, and inequalities in oral cancer.

Innovative reflection on oral cancer research priorities: the contribution of social network analysis

Abstract: The objective of this study is to present a tool to help understand how variables associated with oral cancer prevention relate to each other in a social network. A search of the Scopus database was performed using terms related to oral cancer and prevention from 2000 to 2020. The keywords were used as nodes and were analyzed using NodeXL, which produced the network graphic analysis. From the 1004 publications available, 4038 different keywords were obtained and then grouped into 75 constructs based on conceptual similarity. The most influential nodes were risk factors, comorbidities, epidemiology, and treatment. However, topics such as technology, telemedicine, self-examination, and diagnostic delay remain far removed from central relations. Network analysis enabled us to observe the bias of biological and basic science in the field and identify a need for studies concerning primary prevention, behavioral interventions, and inequalities in oral cancer.

Facebook HPV vaccine campaign: insights from Brazil.

The vaccination coverage rate has fallen in recent years in Brazil. Although Brazil is a country influenced by social networking and analysis of social media generated content has emerged as an important area of research, this is the first study to investigate how the HPV vaccine is portrayed on the Facebook page of the Ministry of Health and to interpret the user-generated content. Our work evaluated the posts published by the Ministry of Health as well as posted comments, shares and reactions of the population related to the HPV vaccination campaign on the specific Facebook page between January and July 2018.The data were analyzed in three stages: (i) overview of published posts; (ii) analysis of posted comments; and (iii) sub-group analysis of posted comments. This study makes important contributions from the point of view of using social media as a public health communication tool.