A Face Detection and Standardized Mask-Wearing Recognition Algorithm.

In the era of coronavirus disease (COVID-19), wearing a mask could effectively protect people from the risk of infection and largely reduce transmission in public places. To prevent the spread of the virus, instruments are needed in public places to monitor whether people are wearing masks, which has higher requirements for the accuracy and speed of detection algorithms. To meet the demand for high accuracy and real-time monitoring, we propose a single-stage approach based on YOLOv4 to identify the face and whether to regulate the wearing of masks. In this approach, we propose a new feature pyramidal network based on the attention mechanism to reduce the loss of object information that can be caused by sampling and pooling in convolutional neural networks. The network is able to deeply mine the feature map for spatial and communication factors, and the multi-scale feature fusion makes the feature map equipped with location and semantic information. Based on the complete intersection over union (CIoU), a penalty function based on the norm is proposed to improve positioning accuracy, which is more accurate at the detection of small objects; the new bounding box regression function is called Norm CIoU (NCIoU). This function is applicable to various object-detection bounding box regression tasks. A combination of the two functions to calculate the confidence loss is used to mitigate the problem of the algorithm bias towards determinating no objects in the image. Moreover, we provide a dataset for recognizing faces and masks (RFM) that includes 12,133 realistic images. The dataset contains three categories: face, standardized mask and non-standardized mask. Experiments conducted on the dataset demonstrate that the proposed approach achieves mAP@.5:.95 69.70% and AP75 73.80%, outperforming the compared methods.

Implementing a Virtual Team Model in the Acute Care Setting.

Health care has forever changed in early 2021. Three years after the beginning of the COVID-19 world pandemic, we must seriously look at the role of the nurses and the model we deploy to ensure our health system's viability. In this article, the authors offer insights into the journey of deconstructing the nurses' role and planning for a Co-Caring Model where virtual and bedside nurses practice and unlicensed assisting personnel work as a team to care for those in need of health care. We also provide a list of actions for nurse leaders to consider. Finally, we aim to spark an international conversation on how we can bring back the joy of practice to ensure we create the best possible places to give and get care.

The production of health news by the press: the context of the coverage of the 2007/2008 yellow fever epidemic. / A produção de notícias de saúde pela imprensa: o contexto da cobertura da epizootia da febre amarela 2007/2008.

The COVID-19 pandemic scenario raises the amplification of the debate around the production and circulation of information about epidemics. In this sense, the objective of this article is to discuss how social contexts shape the news, taking as an example the case of the news coverage that transformed an epizootic of yellow fever, in the summer of 2007/2008, into an epidemic of urban yellow fever. This is a qualitative research with journalists who worked in two large circulation newspapers and actively participated in the coverage of the event. The interviews were recorded, transcribed and submitted to discourse analysis, which allowed the identification of three factors that influenced the production of a media epidemic of yellow fever: the working conditions and the modus operandi of the newsrooms; the political-ideological dimension of the newspapers; and the difficulties of translation of technical-scientific information. A critical understanding of the production process of the journalistic text can contribute to the construction of communication strategies that minimize the circulation of misinformation on public health in traditional media (newspapers, magazines, radio, TV and news portals).

O cenário da pandemia de COVID-19 suscita a ampliação do debate em torno da produção e circulação de informações sobre epidemias. Nesse sentido, o objetivo deste artigo é discutir como os contextos sociais configuram as notícias, tomando como exemplo o caso da cobertura jornalística que transformou uma epizootia de febre amarela, no verão 2007/2008, em uma epidemia de febre amarela urbana. Trata-se de uma pesquisa qualitativa com jornalistas que trabalhavam em dois jornais de grande circulação e participaram ativamente da cobertura do evento. As entrevistas foram gravadas, transcritas e submetidas à análise de discurso, o que permitiu identificar três fatores que influenciaram a produção de uma epidemia midiática de febre amarela: as condições de trabalho e o modus operandi das redações; a dimensão político-ideológica dos jornais; e as dificuldades de tradução das informações técnico-científicas. A compreensão crítica do processo de produção do texto jornalístico pode contribuir para a construção de estratégias comunicacionais que minimizem a circulação de desinformação em saúde pública nas mídias tradicionais (jornais, revistas, rádio, tevê e portais de notícias).

Misinformation and Impact on Interprofessional Healthcare Students' Knowledge, Attitudes, Perceptions, and Concerns of COVID-19.

BACKGROUND: The COVID-19 pandemic has highlighted the importance of information sources (e.g., Internet, social media) and their role in spreading misinformation. PURPOSE: To describe the information sources and frequency of use by health professional students and to compare users of dependable and nontrustworthy news sources on stressors, stress relievers, safety, and preventative activities, worries, and attitudes toward COVID-19. METHODS: 123 students from nursing (38%), medicine (33%), and health professions (28%) completed online surveys on disaster preparedness training, knowledge of the COVID-19 virus, and safety and prevention practices. Students were mostly female (81%), white (59%), and aged 21-30 yrs (72%). RESULTS: Students who relied on credible news sources scored higher on knowledge of the COVID-19 condition and reported less stress than their counterparts. CONCLUSION: The findings emphasize the importance of students avoiding untrustworthy news sources. Informed students are less stressed and can help initiate necessary safety measures in the areas they serve.

The Role of Communication and Commitment in COVID-19 Knowledge, Attitudes, and Behaviors Among University Students in Jordan: Interaction and Analysis.

INTRODUCTION: Several fields, such as public health, economy, and science, have been adversely affected by the COVID-19 pandemic. The objectives of the present study were to investigate knowledge, attitudes, communication, commitment, and behavioral practices of Jordan university students; and using structural equation modelling (SEM) to investigate the relationship among COVID-19 knowledge, attitude, communication, commitment and behavioral practices of students. METHODS: In this cross-sectional study, the primary data were collected from 1,095 students comprising 298 males (27.21%) and 797 females (72.79%) from three major universities in Jordan using an online-based questionnaire. RESULTS: It was found that scores of knowledge, attitudes, communication, commitment, and behavioral practices of students about COVID-19 were 81.4, 79.3, 70.0, 72.6, and 67.4%, respectively. The results also showed that significant association the variables of knowledge and attitudes as well as the commitment and communication are partial mediators in this relationship. Further, a clear positive relationship was observed between the communication, commitment, and behavioral practices of students. CONCLUSIONS: This study confirms the importance of communication and commitment to generate proactive behavioral practices.

The Impact of Pandemic Concerns on Consumers' Teledentistry Use During the First Months of the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic affected consumers' access to oral health care. This study evaluated factors associated with teledentistry use among US adults from June 2019 through June 2020. METHODS: We used data from a nationally representative survey of 3500 consumers. We estimated teledentistry use and adjusted associations with respondents' concerns about the impacts of the pandemic on health and welfare and with their sociodemographic characteristics using Poisson regression models. We also analyzed teledentistry use across 5 teledentistry modalities (email, telephone, text, video conferencing, and mobile application). RESULTS: Overall, 29% of respondents used teledentistry, and 68% of teledentistry users reported doing so for the first time because of the COVID-19 pandemic. First-time teledentistry use was positively associated with a high level of pandemic concerns (relative risk [RR] = 5.02; 95% CI, 3.49-7.20), age 35-44 years (RR = 4.22; 95% CI, 2.89-6.17), and annual household income $100 000-$124 999 (RR = 2.10; 95% CI, 1.55-2.84) and negatively associated with rural residence (RR = 0.68; 95% CI, 0.50-0.94). Having a high level of pandemic concerns (RR = 3.42; 95% CI, 2.30-5.08), young age (age 25-34 years: RR = 5.05; 95% CI, 3.23-7.90), and higher level of education (some college: RR = 1.59; 95% CI, 1.22-2.07) were strongly associated with teledentistry use for all "other" users (ie, existing or first-time use because of reasons unrelated to the pandemic). Most first-time teledentistry users used email (74.2%) and mobile applications (73.9%), whereas "other" teledentistry users used telephone communication (41.3%). CONCLUSIONS: Teledentistry use during the pandemic was higher in the general population than among those for whom teledentistry programs were originally designed (eg, low-income, rural populations). Favorable regulatory changes to teledentistry should be expanded to meet patient needs beyond the pandemic.

Tweeting for Health Using Real-time Mining and Artificial Intelligence-Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter.

BACKGROUND: Digital misinformation, primarily on social media, has led to harmful and costly beliefs in the general population. Notably, these beliefs have resulted in public health crises to the detriment of governments worldwide and their citizens. However, public health officials need access to a comprehensive system capable of mining and analyzing large volumes of social media data in real time. OBJECTIVE: This study aimed to design and develop a big data pipeline and ecosystem (UbiLab Misinformation Analysis System [U-MAS]) to identify and analyze false or misleading information disseminated via social media on a certain topic or set of related topics. METHODS: U-MAS is a platform-independent ecosystem developed in Python that leverages the Twitter V2 application programming interface and the Elastic Stack. The U-MAS expert system has 5 major components: data extraction framework, latent Dirichlet allocation (LDA) topic model, sentiment analyzer, misinformation classification model, and Elastic Cloud deployment (indexing of data and visualizations). The data extraction framework queries the data through the Twitter V2 application programming interface, with queries identified by public health experts. The LDA topic model, sentiment analyzer, and misinformation classification model are independently trained using a small, expert-validated subset of the extracted data. These models are then incorporated into U-MAS to analyze and classify the remaining data. Finally, the analyzed data are loaded into an index in the Elastic Cloud deployment and can then be presented on dashboards with advanced visualizations and analytics pertinent to infodemiology and infoveillance analysis. RESULTS: U-MAS performed efficiently and accurately. Independent investigators have successfully used the system to extract significant insights into a fluoride-related health misinformation use case (2016 to 2021). The system is currently used for a vaccine hesitancy use case (2007 to 2022) and a heat wave-related illnesses use case (2011 to 2022). Each component in the system for the fluoride misinformation use case performed as expected. The data extraction framework handles large amounts of data within short periods. The LDA topic models achieved relatively high coherence values (0.54), and the predicted topics were accurate and befitting to the data. The sentiment analyzer performed at a correlation coefficient of 0.72 but could be improved in further iterations. The misinformation classifier attained a satisfactory correlation coefficient of 0.82 against expert-validated data. Moreover, the output dashboard and analytics hosted on the Elastic Cloud deployment are intuitive for researchers without a technical background and comprehensive in their visualization and analytics capabilities. In fact, the investigators of the fluoride misinformation use case have successfully used the system to extract interesting and important insights into public health, which have been published separately. CONCLUSIONS: The novel U-MAS pipeline has the potential to detect and analyze misleading information related to a particular topic or set of related topics.

Information and Communication Technology Use for Alleviation of Disability Onset in Socially Isolated Older Adults: A Longitudinal Cohort Study.

INTRODUCTION: Delaying the onset of disability is important for maintaining independence and quality of life in community-dwelling older adults. Given that social isolation is a significant risk factor for disability, effective means associated with social isolation are needed to alleviate disability. Although information and communication technology (ICT) may be a reasonable measure considering the recent social contexts due to the coronavirus disease 2019 pandemic, further insights are required. This study aimed to investigate whether ICT use can alleviate the onset of disability in community-dwelling older adults with and without social isolation. METHODS: This longitudinal cohort study on 4,346 community-dwelling independent Japanese older adults (mean age, 73.5 ± 5.3 years) was conducted between 2017 and 2018. Participants were classified into four groups based on social isolation (the condition where two or more of the following measures were met: domestic isolation, less social contact, and social disengagement) and ICT users (those who had recently used a computer or a smartphone) and followed up to assess disability incidence for 24 months after baseline assessments. Cox proportional-hazards regression models were used to identify the effect of social isolation and ICT use on the risk of disability onset by adjusting for age, sex, education history, number of medications, eye disease, level of annual income, Mini-Mental State Examination, Geriatric Depression Scale 15, and gait speed. RESULTS: The group comprised nonsocial isolation and ICT users (44.7%), social isolation and ICT users (5.4%), nonsocial isolation and ICT nonusers (41.7%), and social isolation and ICT nonusers (8.2%). At the follow-up, 2.2%, 2.4%, 5.5%, and 12.4% of the participants in the above order developed disability (p < 0.01). Cox regression models revealed a significantly higher risk of disability onset in the social isolation and ICT nonusers group than in the social isolation and ICT users group (HR = 2.939; 95% confidence interval (CI) 1.029-8.397; p = 0.044). In the subgroup analysis stratified by social isolation, ICT use significantly reduced the risk of disability onset in the socially isolated group (HR = 0.320; 95% CI 0.109-0.943; p = 0.039), although the same association was not observed in the nonsocially isolated group (HR = 0.845; 95% CI 0.565-1.264; p = 0.411). CONCLUSION: ICT use can alleviate the onset of disability in socially isolated older adults in a community setting. Considering ICT-applied methods for alleviating disability is beneficial for older adults in social isolation.

Newspaper Coverage and Framing of Bats, and Their Impact on Readership Engagement.

The media is a valuable pathway for transforming people's attitudes towards conservation issues. Understanding how bats are framed in the media is hence essential for bat conservation, particularly considering the recent fearmongering and misinformation about the risks posed by bats. We reviewed bat-related articles published online no later than 2019 (before the recent COVID19 pandemic), in 15 newspapers from the five most populated countries in Western Europe. We examined the extent to which bats were presented as a threat to human health and the assumed general attitudes towards bats that such articles supported. We quantified press coverage on bat conservation values and evaluated whether the country and political stance had any information bias. Finally, we assessed their terminology and, for the first time, modelled the active response from the readership based on the number of online comments. Out of 1095 articles sampled, 17% focused on bats and diseases, 53% on a range of ecological and conservation topics, and 30% only mention bats anecdotally. While most of the ecological articles did not present bats as a threat (97%), most articles focusing on diseases did so (80%). Ecosystem services were mentioned on very few occasions in both types (< 30%), and references to the economic benefits they provide were meagre (< 4%). Disease-related concepts were recurrent, and those articles that framed bats as a threat were the ones that garnered the highest number of comments. Therefore, we encourage the media to play a more proactive role in reinforcing positive conservation messaging by presenting the myriad ways in which bats contribute to safeguarding human well-being and ecosystem functioning.

Frequent hospital presenters' use of health information during COVID-19: results of a cross-sectional survey.

BACKGROUND: High-frequency hospital users often present with chronic and complex health conditions and are at increased risk of serious morbidity and mortality if they contract COVID-19. Understanding where high-frequency hospital users are sourcing their information, whether they understand what they find, and how they apply the information to prevent the spread of COVID-19 is essential for health authorities to be able to target communication approaches. METHODS: Cross-sectional survey of 200 frequent hospital users (115 with limited English proficiency) informed by the WHO's "Rapid, simple, flexible behavioral insights on COVID-19". Outcome measures were source of, and trust in information, and knowledge of symptoms, preventive strategies, restrictions, and identification of misinformation. RESULTS: The most frequently cited source of information was television (n = 144, 72%) followed by the internet (n = 84, 42%). One in four television users sought their information from overseas news outlets from their country of origin, while for those using the internet, 56% relied on Facebook and other forms of social media including YouTube and WeChat. Overall, 41.2% of those surveyed had inadequate knowledge about symptoms, 35.8% had inadequate knowledge about preventative strategies, 30.2% had inadequate knowledge about government-imposed restrictions, and 69% believed in misinformation. Half of the respondents (50%) trusted all information, and only one in five (20%) were uncertain or untrusting. English-speaking participants were almost three times more likely to have adequate knowledge about symptoms (OR 2.69, 95%CI 1.47;4.91) and imposed restrictions (OR 2.10 95%CI 1.06; 4.19), and 11 times more likely to recognize misinformation (OR 11.52 95%CI 5.39; 24.60) than those with limited English. CONCLUSION: Within this population of high-frequency hospital users with complex and chronic conditions, many were sourcing their information from less trustworthy or locally relevant sources, including social media and overseas news outlets. Despite this, at least half were trusting all the information that they found. Speaking a language other than English was a much greater risk factor for having inadequate knowledge about COVID-19 and believing in misinformation. Health authorities must look for methods to engage diverse communities, and tailor health messaging and education in order to reduce disparities in health outcomes.

Saying it out loud: explicit equity prompts for public health organization resilience.

Introduction: In the early days of the COVID-19 pandemic there were numerous stories of health equity work being put "on hold" as public health staff were deployed to the many urgent tasks of responding to the emergency. Losing track of health equity work is not new and relates in part to the need to transfer tacit knowledge to explicit articulation of an organization's commitment to health equity, by encoding the commitment and making it visible and sustainable in policy documents, protocols and processes. Methods: We adopted a Theory of Change framework to develop training for public health personnel to articulate where and how health equity is or can be embedded in their emergency preparedness processes and documents. Results: Over four sessions, participants reviewed how well their understanding of disadvantaged populations were represented in emergency preparedness, response and mitigation protocols. Using equity prompts, participants developed a heat map depicting where more work was needed to explicitly involve community partners in a sustained manner. Participants were challenged at times by questions of scope and authority, but it became clear that the explicit health equity prompts facilitated conversations that moved beyond the idea of health equity to something that could be codified and later measured. Over four sessions, participants reviewed how well their understanding of disadvantaged populations were represented in emergency preparedness, response and mitigation protocols. Using equity prompts, participants developed a heat map depicting where more work was needed to explicitly involve community partners in a sustained manner. Participants were challenged at times by questions of scope and authority, but it became clear that the explicit health equity prompts facilitated conversations that moved beyond the idea of health equity to something that could be codified and later measured. Discussion: Using the indicators and prompts enabled the leadership and staff to articulate what they do and do not know about their community partners, including how to sustain their involvement, and where there was need for action. Saying out loud where there is - and is not - sustained commitment to achieving health equity can help public health organizations move from theory to true preparedness and resilience.

A Canadian survey of residency applicants' and interviewers' perceptions of the 2021 CaRMS R1 virtual interviews.

BACKGROUND: All Canadian Residency Matching Service (CaRMS) R1 interviews were conducted virtually for the first time in 2021. We explored the facilitators, barriers, and implications of the virtual interview process for the CaRMS R1 match and provide recommendations for improvement. METHODS: We conducted a cross-sectional survey study of CaRMS R1 residency applicants and interviewers across Canada in 2021. Surveys were distributed by email to the interviewers, and by email, social media, or newsletter to the applicants. Inductive thematic analysis was used for open-ended items. Recommendations were provided as frequencies to demonstrate strength. Close-ended items were described and compared across groups using Chi-Square Fisher's Exact tests. RESULTS: A total of 127 applicants and 400 interviewers, including 127 program directors, responded to the survey. 193/380 (50.8%) interviewers and 90/118 (76.3%) applicants preferred virtual over in-person interview formats. Facilitators of the virtual interview format included cost and time savings, ease of scheduling, reduced environmental impact, greater equity, less stress, greater reach and participation, and safety. Barriers of the virtual interview format included reduced informal conversations, limited ability for applicants to explore programs at different locations, limited ability for programs to assess applicants' interest, technological issues, concern for interview integrity, limited non-verbal communication, and reduced networking. The most helpful media for applicants to learn about residency programs were program websites, the CaRMS/AFMC websites, and recruitment videos. Additionally, panel interviews were preferred by applicants for their ability to showcase themselves and build connections with multiple interviewers. Respondents provided recommendations regarding: (1) dissemination of program information, (2) the use of technology, and (3) the virtual interview format. CONCLUSIONS: Perceptions of 2021 CaRMS R1 virtual interviews were favourable among applicants and interviewers. Recommendations from this study can help improve future iterations of virtual interviews.