Fostering mask-wearing with virality metrics and social media literacy: evidence from the U.S. and Korea.

Although social media can pose threats to the public health by spreading misinformation and causing confusion, they can also provide wider access to health information and opportunities for health surveillance. The current study investigates the ways in which preventive health behaviors and norms can be promoted on social media by analyzing data from surveys and experiments conducted in the U.S. and South Korea. Survey results suggest that the pathway from social media use for COVID-19 information to mask-wearing behavior through mask-wearing norms emerges only among individuals with strong perceived social media literacy in the U.S. Experimental findings show that wear-a-mask campaign posts on social media foster mask-wearing norms and behavioral intention when they come with large (vs. small) virality metrics (e.g., Likes, shares) in both the U.S. and South Korea. Additionally, American users are more willing to engage with posts that come with supportive (vs. mixed) comments by Liking, sharing and commenting. The results highlight the need to cultivate social media literacy and opportunities for exploiting social media virality metrics for promoting public health norms and behaviors.

Intellectual humility predicts COVID-19 preventive practices through greater adoption of data-driven information and feelings of responsibility

Preventive health practices have been crucial to mitigating viral spread during the COVID-19 pandemic. In two studies, we examined whether intellectual humility-openness to one's existing knowledge being inaccurate-related to greater engagement in preventive health practices (social distancing, handwashing, mask-wearing). In Study 1, we found that intellectually humble people were more likely to engage in COVID-19 preventive practices. Additionally, this link was driven by intellectually humble people's tendency to adopt information from data-driven sources (e.g., medical experts) and greater feelings of responsibility over the outcomes of COVID-19. In Study 2, we found support for these relationships over time (2 weeks). Additionally, Study 2 showed that the link between intellectual humility and preventive practices was driven by a greater tendency to adopt data-driven information when encountering it, rather than actively seeking out such information. These findings reveal the promising role of intellectual humility in making well-informed decisions during public health crises.

A Cross-Cultural Study of Mask-Wearing During the Covid-19 Pandemic: Comparing China, Japan and the USA

During the Covid-19 epidemic, Japanese and Chinese have overwhelmingly tended to wear face masks, while Americans have not. Why? In this paper, based on ethnographic interviews with members of these three societies as well as examination of mass media and scholarly reports, I provide a preliminary interpretation of this question.I first consider social psychologists' large-scale analyses of collectivism versus individualism;China and Japan are both considered to be collectivistic societies, whereas the United States is considered to be individualistic. I also consider ethnic belonging to one's nation in China and Japan, as opposed to civic belonging to one's nation in the United States. These explications have value in understanding Covid-19 policies but seem of limited use in explaining mask-wearing. For such understanding, I turn to ethnographic interviews - some twenty in each society - as well as participant-observation in public sites.My findings are these: While in Japan social pressure is paramount in leading to mask wearing, with the state mostly absent, in China state pressure is paramount, with social pressure largely absent. In the United States, with social pressure absent beyond one's sub-group and state pressure hotly contested, mask-wearing becomes a matter of politically-based individual choice. In these three societies, there have thus been different axes as to why mask-wearing is accepted or contested. This research is of too small a scale to fully explicate these factors;but it does show how anthropological analysis is essential in combining with the findings of other disciplines such as social psychology to arrive at a fuller understanding of contemporary social phenomena.

When do people increase COVID-19 protective behaviors? A longitudinal analysis of the impact of infections among close contacts and in the community.

Studies examining individual-level changes in protective behaviors over time in association with community-level infection and self or close-contact infection with SARS-CoV-2 are limited. We analyzed overall and demographic specific week-to-week changes in COVID-19 protective behaviors and their association with COVID-19 infections (regional case counts and self or close contacts). Data were collected through 37 consecutive weekly surveys from 10/17/2021 - 6/26/2022. Our survey panel included 212 individuals living or working in St. Louis City and County, Missouri, U.S.A. Frequency of mask-wearing, handwashing, physical distancing, and avoiding large gatherings was self-reported (more/the same/less than the prior week). Close contact with COVID-19 was reported if the panel member, their household member, or their close contact tested positive, got sick, or was hospitalized for COVID-19 in the prior week. Regional weekly COVID-19 case counts were matched to the closest survey administration date. We used generalized linear mixed models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations. Evidence for effect modification was assessed using the likelihood ratio test. Increased protective behaviors were positively associated with COVID-19 case counts (ORhighest vs. lowest case count category = 4.39, 95% CI 3.35-5.74) and with participant-reported self or close contacts with COVID-19 (OR = 5.10, 95% CI 3.88-6.70). Stronger associations were found for White vs. Black panel members (p <.0001). Individuals modulated their protective behaviors in association with regional COVID-19 case counts and self or close contact infection. Rapid reporting and widespread public awareness of infectious disease rates may help reduce transmission during a pandemic by increasing protective behaviors.

Should we wear a mask? Household assessment of mask wearing for COVID-19 in Ya'an, China

In late 2019 and 2020, the novel SARS-CoV-2 virus spread worldwide and resulted in the COVID-19 pandemic, the second deadliest pandemic in modern history since the 1918 influenza pandemic. Since the virus was novel, no therapeutics and vaccines existed. Effective implementation of non-pharmaceutical interventions was essential to reducing the transmission of the disease until the discovery of effective therapeutics and vaccines. This study explores the influence of the facilitating protective action attribute on adopting mask-wearing as a protective action in Ya'an, Sichuan Province, China. The study found that perceptions of mask effectiveness to reduce the probability of contracting and spreading the disease, positive social influences, and the influence of an alert emotion shaped the facilitating protective action attribute and the adoption of mask-wearing during the COVID-19 pandemic. The research also revealed a significant positive correlation between the expected consequences from contracting COVID-19, the influence of both the alert and positive emotions, and information sources on the adoption of mask-wearing as a protective action. Lastly, expected consequences from exposure, indirectly affected by age, and information from authorities directly affected the adoption of the recommended protective action. The significance of both expected consequences and information from authorities affected the adoption of the recommended action. The finding suggested what actions public health, public policy, and emergency management leadership can take to enhance the effectiveness of non-pharmaceutical interventions to mitigate the spread of disease during future pandemics. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Covid-19 Control: Face Mask Detection Using Deep Learning for Balanced and Unbalanced Dataset

Facemask wearing is becoming a norm in our daily lives to curb the spread of Covid-19. Ensuring facemasks are worn correctly is a topic of concern worldwide. It could go beyond manual human control and enforcement, leading to the spread of this deadly virus and many cases globally. The main aim of wearing a facemask is to curtail the spread of the covid-19 virus, but the biggest concern of most deep learning research is about who is wearing the mask or not, and not who is incorrectly wearing the facemask while the main objective of mask wearing is to prevent the spread of the covid-19 virus. This paper compares three state-of-the- art object detection approaches: Haarcascade, Multi-task Cascaded Convolutional Networks (MTCNN), and You Only Look Once version 4 (YOLOv4) to classify who is wearing a mask, who is not wearing a mask, and most importantly, who is incorrectly wearing the mask in a real-time video stream using FPS as a benchmark to select the best model. Yolov4 got about 40 Frame Per Seconds (FPS), outperforming Haarcascade with 16 and MTCNN with 1.4. YOLOv4 was later used to compare the two datasets using Intersection over Union (IoU) and mean Average Precision (mAP) as a comparative measure;dataset2 (balanced dataset) performed better than dataset1 (unbalanced dataset). Yolov4 model on dataset2 mapped and detected images of masks worn incorrectly with one correct class label rather than giving them two label classes with uncertainty in dataset1, this work shows the advantage of having a balanced dataset for accuracy. This work would help decrease human interference in enforcing the COVID-19 face mask rules and create awareness for people who do not comply with the facemask policy of wearing it correctly. Hence, significantly reducing the spread of COVID-19.

Psychosocial Factors Predict Mask-Wearing: A Longitudinal Study Across 3 Phases of the COVID-19 Pandemic.

Determinants of mask-wearing during a pandemic range from the personal to the political. Using a repeated measures design, we examined psychosocial predictors of self-reported mask-wearing 3 times during the early stage of the COVID-19 pandemic. Participants completed surveys at baseline (summer 2020), 3 months (fall 2020), and 6 months (winter 2020-2021). The survey assessed the frequency of mask-wearing and psychosocial predictors from various theories, including fear of COVID-19, perceived severity, perceived susceptibility, attitude, health locus of control, and self-efficacy. Results indicated that the strongest predictors of mask-wearing varied as a function of the stage in the pandemic. In the earliest phase, fear of COVID-19 and perceived severity were the strongest predictors. Three months later, attitude was the strongest predictor. Finally, another 3 months later, self-efficacy became the strongest predictor. Overall, the results suggest that the primary determinants of a novel protective behavior shift over time and with increased familiarity.

REAL-TIME FACE DETECTORS AND CLASSIFICATION PERFORMANCE IMPLEMENTING RESNET-50 MODEL FOR FACE MASK-WEARING CONDITIONS

The World Health Organization requires the community to wear a face mask to avoid transmission of COVID-19. The study investigates the performance of face detectors and evaluates the classification performance based on face mask-wearing conditions. The study built a total of 13,806 datasets that recorded an overall classification performance of 98%. The findings show that Multi-task Cascade Convolutional Neural Networks outperformed the other face detectors with an average score of 70% in accordance to distance, angles, occlusions, and multiple detections across given set conditions. Furthermore, the model recorded an accuracy performance of 83% for "correct wearing of face mask", 91% for "incorrect wearing of face mask", and 95% for "no face mask". However, despite the promising performance rates, the identified best face detector decreases when the given conditions are set to a higher level. To further improve and optimize the face mask-wearing conditions, the study highly recommends employing both statistical and mathematical analysis. © School of Engineering, Taylor's University.

An investigation of patterns of association between anxiety symptom clusters and mask-wearing during the COVID-19 pandemic in Canada

Several measures have been implemented to reduce the spread of the COVID-19, with mask-wearing among the most widely used measures. Yet, the barriers to mask-wearing are unclear. This study examined whether different types of anxiety symptom clusters (i.e., symptoms of claustrophobia, physical anxiety sensitivity, and social anxiety sensitivity) are associated with mask-wearing tendencies during the COVID-19 pandemic and investigated how anxiety symptom clusters relate to mask-wearing discomfort and self-isolation distress. A total of 556 Canadian adults were recruited online between January and February of 2021. The study was administered online via Qualtrics. Participants completed questionnaires measuring symptoms of claustrophobia, anxiety sensitivity, and isolation distress, along with a measure of mask-wearing behaviours. Linear regression analyses revealed that elevated anxiety symptoms across all symptom clusters predicted more physical and emotional discomfort related to mask-wearing, as well as reduced likelihood of leaving the home due to mask-related discomfort. Leaving home less often due to mask-related discomfort was significantly associated with more self-isolation distress and poorer coping overall. Differential patterns of mask-wearing behaviours across anxiety symptom clusters were not detected. These findings suggest that anxiety symptoms (i.e., including claustrophobia, physical anxiety sensitivity, and social anxiety sensitivity) are positively associated with mask-related distress. This, in turn, may lead people to avoid leaving their home and consequently experience increased self-isolation distress. Furthermore, these findings suggest that people with heightened anxiety symptoms tend to experience more discomfort with mask-wearing, which may perpetuate a cycle of avoidance and poorer coping overall. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (French) Plusieurs mesures ont ete mises en oeuvre pour reduire la propagation de la COVID-19, le port du masque etant l'une des mesures les plus utilisees. Pourtant, les obstacles au port du masque ne sont pas clairs. Cette etude a examine si differents types de groupes de symptomes d'anxiete (c'est-a-dire les symptomes de claustrophobie, de sensibilite a l'anxiete physique et de sensibilite a l'anxiete sociale) etaient associes aux tendances de port du masque pendant la pandemie de COVID-19 et a etudie comment les groupes de symptomes d'anxiete sont lies a l'inconfort du port de masque et a la detresse liee a l'isolement. Un total de 556 adultes canadiens ont ete recrutes en ligne entre janvier et fevrier 2021. L'etude a ete administree en ligne via Qualtrics. Les participants ont rempli des questionnaires mesurant les symptomes de claustrophobie, la sensibilite a l'anxiete et la detresse liee a l'isolement, ainsi qu'une mesure des comportements lies au port du masque. Les analyses de regression lineaire ont revele que des symptomes d'anxiete eleves dans tous les groupes de symptomes predisaient un plus grand inconfort physique et emotionnel lie au port du masque, ainsi qu'une probabilite reduite de quitter le domicile en raison de l'inconfort lie au port du masque. Le fait de quitter le domicile moins souvent en raison d'un inconfort lie au port du masque etait significativement associe a une plus grande detresse liee a l'isolement et a une moins bonne adaptation globale. Il n'a pas ete possible de detecter des comportements differents en matiere de port de masque selon les groupes de symptomes d'anxiete. Ces resultats indiquent que les symptomes d'anxiete (y compris la claustrophobie, la sensibilite a l'anxiete physique et la sensibilite a l'anxiete sociale) sont positivement associes a la detresse liee au port du masque. Cela peut conduire les personnes a eviter de quitter leur domicile et, par consequent, a eprouver une detresse accrue liee a l'isolement. De plus, ces resultats suggerent que les personnes presentant des symptomes d'anxiete eleves ont tendance a eprouver plus d'inconfort lie au port du masque, ce qui peut perpetuer un cycle d'evitement et une moins bonne adaptation globale. (PsycInfo Database Record (c) 2023 APA, all rights reserved) Impact Statement The findings suggest that anxiety symptoms may interfere with engagement in this important public health measure, informing policy-makers of at-risk groups in the population. Moreover, those who experience higher mask-related anxiety are more likely to stay at home, leading to increased self-isolation and isolation-related distress. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

COVID-19 Mask Mandates in NY and Their Effect on the Incidence of Flu.

Objective: The goal of the study is to quantify the reduction in the cases of influenza and how this decrease in incidence correlates with the execution of masking requirements in public as well as social distancing. Methods: Influenza statistics were collected from Northwell Health, a 23-hospital system located throughout New York State. Positive influenza results were collected representing the 2018-2019 Flu season, 2019-2020 Flu season, and compared to the 2020-2021 Flu season, which corresponded to the mask mandates and social distancing measures implemented in NYS. Results: Our data showed a dramatic decrease in influenza rates during the 2020-2021 Flu season, which corresponded to NYS's strict social distancing and mask requirements during the pandemic. This shows a steep decline correlating with the implementation of public health mandates directed at decreasing the spread of aerosolized particles between members of the population. Conclusion: Our data show a significant decrease in the number of positive influenza tests during the same period of time when COVID-19 social distancing and mask-wearing requirements were in effect.

The influence of social conformity on mask-wearing behavior during the COVID-19 pandemic.

Over the course of the COVID-19 pandemic, in addition to vaccination, health authorities have strongly advocated the wearing of face masks as a crucial measure in combating the virus. Nevertheless, the recommendation or legal requirement to wear a face mask is no guarantee of adherence to the rules. A person's decision to wear a mask may also be based on their beliefs and is likely to be influenced by their observation of the mask-wearing behavior of other people. This study aims to explore the role of conformity on the wearing of masks during the COVID-19 pandemic. Given that there is little evidence on how the mask-wearing behavior of others and demographic factors affect people's decisions to wear face masks in public settings, we performed a large-scale observational study in the Czech Republic during a period of rapidly increasing COVID-19 related cases and deaths. We observed a total of 1753 customers and 472 employees in 67 highly frequented shopping venues. The data were collected by trained observers and analyzed using multilevel logistic regression modeling. The results indicate that the mask-wearing behavior of new customers was influenced by the proportion of other customers wearing masks and the behavior differed according to the demographics of age and sex. A notable finding was that the greater the presence of customers wearing masks in a store, the lower the propensity of new visitors to wear masks. Which may be evidence of problematic free-riding behavior. These findings therefore have policy implications and can aid the formulation of specific (communication) strategies to promote mask-wearing behavior.

Influenza's plummeting during the COVID-19 pandemic: The roles of mask-wearing, mobility change, and SARS-CoV-2 interference.

Seasonal influenza activity typically peaks in the winter months but plummeted globally during the current coronavirus disease 2019 (COVID-19) pandemic. Unraveling lessons from influenza's unprecedented low profile is critical in informing preparedness for incoming influenza seasons. Here, we explored a country-specific inference model to estimate the effects of mask-wearing, mobility changes (international and domestic), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interference in China, England, and the United States. We found that a one-week increase in mask-wearing intervention had a percent reduction of 11.3%-35.2% in influenza activity in these areas. The one-week mobility mitigation had smaller effects for the international (1.7%-6.5%) and the domestic community (1.6% to 2.8%). In 2020-2021, the mask-wearing intervention alone could decline percent positivity by 13.3-19.8. The mobility change alone could reduce percent positivity by 5.2-14.0, of which 79.8%-98.2% were attributed to the deflected international travel. Only in 2019-2020, SARS-CoV-2 interference had statistically significant effects. There was a reduction in percent positivity of 7.6 (2.4-14.4) and 10.2 (7.2-13.6) in northern China and England, respectively. Our results have implications for understanding how influenza evolves under non-pharmaceutical interventions and other respiratory diseases and will inform health policy and the design of tailored public health measures.

Mask-Wearing and Handwashing Behaviors of Chinese Rural Residents during the Pandemic of COVID-19: A Cross-Sectional Survey.

OBJECTIVE: To understand mask-wearing and handwashing behaviors of Chinese rural residents during the COVID-19 pandemic and to analyze the associated factors. METHODS: This study used a multi-stage random sampling method to conduct a cross-sectional questionnaire survey during the period of July to December of 2021, in six counties located in Shandong, Shanxi, and Yunnan provinces representing the eastern, central, and western regions of China, respectively. A total of 3864 villagers were surveyed with a questionnaire, and 3832 valid questionnaires were finally analyzed. Descriptive statistics and logistic regression analysis were used for statistical analysis. RESULTS: Around ninety-four percent (93.6%) of rural residents reported mask-wearing during the COVID-19 pandemic, but only 44.5% of them could replace masks in time. Multivariate logistic regression analysis showed that those who were female, aged 15-59, had an education level of high school and above, were divorced/widowed, worked as farmers (workers), or were rural residents in Shandong Province were more likely to wear masks. Furthermore, those who were female, aged 15-59, had an education level of high school and above, were unmarried and married, were business and service workers, or were rural residents in Shandong and Shanxi Province replaced masks more timely. Around seventy percent (69.7%) of rural residents reported using soap when washing their hands, but only 38.0% of rural residents could wash their hands properly. Multivariate logistic regression analysis showed that rural residents who were aged 35-59, had an education of high school and above, or lived in Shandong Province and Shanxi Province were more likely to wash their hands with soap. Those who were aged 15-59, had an education of high school and above, worked as farmers (workers), were employees of governmental departments and retirees, were business and service workers, or were students had higher proper handwashing rates. CONCLUSION: During the COVID-19 pandemic, the proportion of Chinese rural residents wearing masks reached 93.6%, but only 44.5% were able to replace masks in time, gender, age, education level, marital status, occupation, and living place had an impact on mask-wearing. The proportion of Chinese rural residents who could wash hands with soap reached 69.7%, but only 38.0% could wash their hands properly. Age and education level were influencing factors for both washing-hand with soap and proper handwashing.

Mask Adherence and Social Distancing in Houston, TX from January to April 2021.

Shortly after the identification of COVID-19, public health experts recommended the use of face masks and social distancing to slow the spread of the virus. Early research indicates that there are associations between gender, age, and mask-wearing behavior. The primary aim of this paper was to explore how demographics, location, and mask mandates may affect COVID-19 mitigation strategies such as mask-wearing and social distancing. A prospective, cross-sectional observational study was conducted in Houston, TX from January to April 2021 at three outdoor locations: an urban park, an urban park with a trail, and a farmer's market. During each two-hour data collection period, trained observers recorded the total number of people in the designated spaces; people were categorized by approximate age, sex, race/ethnicity, physical activity level, social distancing, and mask adherence using the Systematic Observation of Mask Adherence and Distancing (SOMAD) protocol. Multivariable logistic regression was used to determine associations with gender, race, age, location, and the mask mandate. A total of 7778 observations were recorded after exclusion of inconclusive demographic data. Females had higher odds, reported as an odds ratio, of mask use than males (OR = 1.35, 95% CI 1.18-1.54). Compared to White individuals, Asian individuals had higher odds of mask use (OR = 1.84, 95% CI 1.48-2.30). The odds of mask use were higher while the Texas mask mandate was in effect (OR = 1.60, 95% CI 1.40-1.84). Regarding location, the odds of mask use were much higher in the urban park than in the urban park with a trail (OR = 13.33). Individuals had higher odds of social distancing at the urban park with a trail compared to the farmer's market (OR = 4.61, 95% CI 4.10-5.17). Mask wearing and social distancing behaviors differ by demographics, locality, and mask mandate. Thus, state policies can be effective tools to encourage mask wearing for disease mitigation.

Masking up and the role of the police

Purpose: The COVID-19 pandemic placed many challenges on policing, from limiting officers' ability to interact with citizens to enforcing regulations to prevent the spread of the virus. One of those regulations, and the focus of the current study, is mask mandates. Design/methodology/approach: Using a sample of over 550 US adults recruited on Amazon MTurk, the current study examines factors that may influence citizen attitudes toward the police's role in mask enforcement, with a specific focus on perceptions of the police, political leanings, and views about COVID-19 and mask-wearing. Findings: The authors find that when respondents believed COVID-19 was serious and a major public health threat, they were more likely to believe the police should enforce masks, regardless of attitudes about the police, political party affiliation or other demographics. Originality/value: The enforcement of public health mandates, such as mask wearing, often result in arguments related to the infringement of rights and questions about the overall legality of enforcement. This often puts law enforcement in a difficult position regarding how such mandates should be enforced and whether it is the responsibility of the police. Additional policy implications are discussed. © 2023, Emerald Publishing Limited.

Prosociality and health: Identification with all humanity is a replicable predictor of prosocial motivation for health behaviors.

The acute phase of the COVID-19 pandemic may have passed, but the pandemic remains a major worldwide health concern that demands continued vigilance. Are there individual differences that predict the motivation to continue to wear masks and to create physical distance in public? Previous research conducted early in the pandemic had suggested that a particular social identity-identification with all humanity-is one underlying factor that contributes to people's cooperation with health behavior guidelines. This highlights that the pandemic is not only an issue to be tackled with the tools of immunology and epidemiology. It also requires the tools from psychology-to measure the representations people have about themselves and others and how these representations drive values and decisions related to health. Here we report work on U.S. respondents that examined whether individuals' level of identification with all humanity predicts their prosocial health behaviors aimed at mitigating the spread of COVID-19. In 3 convergent studies (total N = 1,580), we find that identification with all humanity predicted the prosocial motivation to wear masks and to engage in physical distancing when in public without a mask. The results were obtained while controlling for a host of covariates, including demographics, educational attainment, and Big Five personality dimensions. We find that some people have a marked drive to care for the health of strangers, which is significantly linked to their concern for all humanity rather than being restricted to their care for their community or country. Discussion focuses on this social identification with humanity and its enduring, replicable role in predicting the motivation to engage in prosocial health behaviors. We note key implications for theories in social and developmental psychology as well as for research that may lead to practical applications for lessening the human toll of the current and future pandemics.

"You Are Responsible for Your Own Safety”: An Intersectional Analysis of Mask-Wearing During the COVID-19 Pandemic

The response to the COVID-19 pandemic in the US has been heavily criticized for its reliance on people's voluntary uptake of health protective behaviors like mask-wearing. Such voluntary approaches to public health crises assume individuals are altruistic and will put the good of the community before themselves. However, social groups operate in distinct ways and have different motivations. Since ideas of individualism in the US are both gendered and racialized, we adopt an intersectional approach to examine how both race and gender interact to shape mask-wearing behaviors. Using a survey of 1,269 adults in the US, we find that white women are less likely to wear a mask than Latinas and Black women but observe no differences amongst men. Our data suggest that these differences arise because white women are more likely to approach mask-wearing as a personal choice, whereas Latinas and Black women are more likely to take a collectivist approach and view mask-wearing as a social responsibility. We highlight the importance of adopting an intersectional approach to understand true variability in health protective behaviors. We also draw attention to the importance of developing community-specific public health messaging that resonates with its members' norms and experiences. © The Southern Sociological Society 2022.

Effect of wearing masks in the hospital on patient-provider interaction: “They (providers) need to stay safe for their family and keep us safe.”

Since March 2020 when the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic was widespread in the U.S., masks became a primary form of protection for healthcare workers when caring for patients. While wearing masks was not a new phenomenon in the health field, there is little known on how the use of them affects the patient-provider relationship. This study explored the experience of wearing masks on the patient-provider relationship in the hospital. This qualitative study involved interviews with both providers and patients at an academic hospital in the Midwest. At the time of this study, in July 2021, hospital policy required all healthcare providers and staff to wear surgical masks with patients, but patients were not required to wear masks while in their rooms. Interviews were audio-recorded and transcribed;they were coded using MAXQDA. Nine patients and nine providers took part in interviews. There were 4 women and 5 men in each group. The primary benefit of mask-wearing identified by both groups was safety and protection from disease. Connection with patients was a major theme as well. Providers adapted to try to improve connection in four primary ways: showing the patient their face, speaking loudly and clearly, spending additional time with patients, and being more expressive. It was also reassuring that safety was one of the main themes and encouraging that masks were not a substantial barrier to communication with patients. © The Author(s), 2022.

Lightweight Mask-Wearing Detection Algorithm with Multi-Scale Feature Fusion

Standardized usage of face masks is effective as a non-pharmaceutical intervention to prevent the spread of infectious respiratory diseases，such as COVID-19 and influenza. In the current epidemic situation，wearing face masks correctly is especially important. Most existing mask-wearing detection algorithms involve problems such as complex structures，high training difficulty，and insufficient feature extraction. Therefore，this study proposes a lightweight mask-wearing detection algorithm based on multi-scale feature fusion and the YOLOv4-Tiny network，called L-MFFN-YOLO. L-MFFN-YOLO improves on the original residual structure and uses a lightweight residual module to promote rapid convergence. Moreover，it reduces the computational load while ensuring detection accuracy. Based on the original network’s 13×13 and 26×26 feature maps，52×52 feature branches are added to enhance the ability of the lower feature layer to express information and reduce the false negative rate for small targets.On this basis，a Multi-level Cross Fusion （MCF） structure is used to maximally extract useful information so as to improve feature utilization. In addition to detecting mask-wearing，a category of masks worn incorrectly is added to the dataset and manually labeled. The www.eciexperimental results show that the size of the proposed L-MFFN-YOLO model is only 5.8 MB，which is 76% smaller than that of the original YOLOv4-Tiny. Moreover，the mean Average Precision（mAP）of the proposed approach is 5.25 percentage points higher，and its processing time is 14 ms faster on an equivalent CPU.These results demonstrate that the proposed approach can meet the requirements of accuracy and real-time operation in resource-constrained devices to detect faces wearing masks. © 2022, Editorial Office of Computer Engineering. All rights reserved.