Mask use during COVID-19: A risk adjusted strategy

Altered development of face recognition among infants born amid the COVID-19 pandemic

To effectively contain the spread of COVID-19, public health agencies mandated special regulations. Although they protected us from COVID-19, these restrictions have inevitably changed the environment around us. It remains unclear how these changes may have affected early cognitive development among infants born during the pandemic. Thus, this study examined how the COVID-19 restrictions have affected infants' face recognition ability, a hallmark of their cognitive capacities. Specifically, we used the familiarization and visual pair comparison paradigm to examine face recognition performance among infants aged 6 to 14 months amid the second wave of the pandemic (February to July 2021). Experiment 1 investigated the recognition of unmasked faces and found that only younger infants, but not older infants, recognized faces by showing a novelty preference. Experiment 2 examined the recognition of faces wearing masks and found that only older infants, but not younger ones, recognized faces by exhibiting a familiarity preference. These results suggest that with limited interactions during the pandemic, infants could have developed an overly specialized face processing ability that failed to recognize the faces of strangers. Moreover, infants could have obtained more information on masked faces during the pandemic and adapted to the current situation. In Expreiment 3, we further confirmed the restriction on infants' interpersonal experiences with a survey conducted both before and during the pandemic. Overall, these findings demonstrated how the pandemic altered early perceptual development and further confirmed that interpersonal experiences during infancy are critical in their cognitive development.

Immunization with an mRNA DTP vaccine protects against pertussis in rats

Bordetella pertussis is a Gram-negative bacterium that is the causative agent of the respiratory disease known as pertussis. Since the switch to the acellular vaccines of DTaP and Tap, pertussis cases in the US have risen and cyclically fallen. We have observed that mRNA pertussis vaccines are immunogenic and protective in mice. Here, we further evaluated the pertussis toxoid mRNA antigen and refined the formulation based on optimal pertussis toxin neutralization in vivo. We next evaluated the mRNA pertussis vaccine in Sprague-Dawley rats using an aerosol B. pertussis challenge model paired with whole-body plethysmography to monitor coughing and respiratory function. Female Sprague-Dawley rats were primed and boosted with either commercially available vaccines (DTaP or wP-DTP), an mRNA-DTP vaccine, or mock-vaccinated. The mRNA-DTP vaccine was immunogenic in rats and induced antigen-specific IgG antibodies comparable to DTaP. Rats were then aerosol challenged with a streptomycin-resistant emerging clinical isolate D420Sm1. Bacterial burden was assessed at days 1 and 9 post-challenge, and the mRNA vaccine reduced burden equal to both DTaP and wP-DTP. Whole-body plethysmography revealed that mRNA-DTP vaccinated rats were well protected against coughing which was comparable to the non-challenged group. These data suggest that an mRNA-DTP vaccine is immunogenic in rats and provides protection against aerosolized B. pertussis challenge in Sprague-Dawley rats.

Survey on pattern of myopia in school children in Hangzhou after the COVID-19 pandemic: a school-based vision screening study

BACKGROUND

Myopia is a major health issue around the world. Myopia in children has increased significantly during the COVID-19 pandemic in China, but reports are scarce on the prevalence of myopia following the pandemic. This study collected vision screening data of school children in China for five consecutive years to observe the changes in myopia after the pandemic and compare the observed prevalence of myopia before and after the pandemic.

METHODS

A school-based vision screening study used stratified samplings to collect the vision screening data in school children aged 6-13 from 45 primary schools in Hangzhou. Vision screening data including uncorrected visual acuity(UCVA) and spherical equivalent refraction(SER). Calculating the mean of SER and the prevalence of myopia and hyperopia from 2019 to 2023.

RESULTS

A total of 79,068 screening results (158,136 eyes) were included in the analysis. A substantial myopic shift (approximately -0.30 diopters [D] on average) was found in 2020 and 2021 compared with 2019 in all age groups and a substantial myopic shift (approximately 0.4 D on average) was found in 2022 compared with 2021. A slight myopic shift (approximately -0.14 D on average) was found in 2023 compared with 2022. The prevalence of myopia in all age groups was the highest for five years in 2020 or 2021, which was 31.3% for 6-year-olds, 43.0% for 7-year-olds, and 53.7% for 8-year-olds. A positive change in the prevalence rate of myopia was found at 6 years old (0.59%, 0.12%, 0.36%, 0.25%, p < 0.001). The change in prevalence rate in myopia was shifted slightly in children aged 10-13 years. Children aged 8 to 13 years had a slight increase in myopia prevalence from 2022 to 2023. The prevalence of hyperopia was low and stable in all grade groups, ranging from 0.7% to 2.2% over five years.

CONCLUSION

Myopia in children has increased rapidly during the COVID-19 pandemic. After the pandemic, the prevalence of myopia in children gradually decreased temporarily and then rebounded. Myopic shift was more apparent in younger children. Myopic shift in children may be related to the reduction of outdoor time, less light, and near work habits, and further research is needed.

Effect of Face Mask on Lowering COVID-19 Incidence in School Settings: A Systematic Review

BACKGROUND

The emergence of COVID-19 resulted in a substantial loss of education because of global school closures. Face masks are a potential measure to restrain the COVID-19 spread; therefore, this paper evaluated the effectiveness of face masks in reducing COVID-19 incidence in school settings.

METHODS

A systematic review was conducted by searching the literature in the Cochrane COVID-19 Study Register and the World Health Organization COVID-19 global literature. Data were summarized in tabular forms, and the findings were presented as narrative synthesis.

RESULTS

A total of 15,709 records were retrieved. The screening and selection led to the inclusion of 12 observational and 2 quasi-experimental studies. Nine studies were conducted in different states, counties, or districts of the United States, and the remaining 5 were reported from Germany, Finland, Spain, and the United Kingdom. The results of 10 out of 14 studies favored mask use in reducing school COVID-19 incidence. Three studies found no link between mask use and COVID-19 incidences, whereas 1 quasi-experimental study noted a higher COVID-19 incidence with mask use in students aged 6-11 years than no use of mask among preschool children aged 3-5 years.

CONCLUSION

Mask mandates may lessen the incidence of respiratory infectious diseases in school settings during a pandemic; more well-designed studies are warranted to clarify further the evidence regarding mask use in school settings.

Attitudes of Polish Priests and Laymen Towards Death During the Covid-19 Pandemic

The Covid-19 pandemic has generated a situation where death is the most commonly used term by humans. The attitudes adopted towards the phenomenon of death are the result of existential life and the presented axiology. Looking at the death of a secular and spiritual person makes it possible to notice the existential and spiritual attitudes of two different social groups, interpenetrating one another and fulfilling different roles. The study used a diagnostic survey method using a standardized research tool in the form of the Attitude Profile Questionnaire for Death (DAP-R-PL) and an author's questionnaire. In the light of the conducted research, it can be observed that priests experience the phenomenon of death more existentially and religiously. Laymen consider the problem of death in an existential way and are more afraid than priests. Both attitudes are part of everyday life because each of the groups participating in the research maintains its identity.

Eustachian tube dysfunction after using different types of masks during the coronavirus disease 2019 pandemic

OBJECTIVE

This study aimed to investigate the relationship between the use of different types of masks (N95/filtering facepiece type 2, surgical) and Eustachian tube dysfunction in healthcare workers.

METHODS

The study included 37 healthcare workers using N95/filtering facepiece type 2 masks and 35 using surgical masks for at least 6 hours per day, and 42 volunteers who are not healthcare workers using surgical masks for less than 6 hours per day. Participants' demographic features, clinical data and Eustachian Tube Dysfunction Questionnaire scores were compared.

RESULTS

The frequencies of autophony and aural fullness were significantly higher in the healthcare workers using N95/filtering facepiece type 2 masks. Autophony and aural fullness were significantly greater in the post-mask period than the pre-mask period. Middle-ear peak pressures and Eustachian Tube Dysfunction Questionnaire scores were higher in healthcare workers who used N95/filtering facepiece type 2 masks.

CONCLUSION

Healthcare workers who used N95/filtering facepiece type 2 masks had worsened middle-ear pressures and Eustachian Tube Dysfunction Questionnaire scores. Use of N95/filtering facepiece type 2 masks was associated with higher rates of autophony, aural fullness and higher Eustachian Tube Dysfunction Questionnaire scores in the post-mask period.

Study on the epidemiological characteristics of enterovirus among pediatric patients in Hangzhou, China: A comparison between the pre-COVID-19, COVID-19 pandemic, and post-COVID-19 periods

Nonpharmaceutical interventions (NPIs) for coronavirus disease 2019 (COVID-19) not only reduce the prevalence of this disease among children but also influence the transmission of other viruses. This retrospective study investigated the impact of NPIs on human enterovirus (HEV) infection in children diagnosed with hand, foot, and mouth disease (HFMD) or herpangina (HA) in Hangzhou, China. We collected and analyzed the laboratory results and clinical data of children diagnosed with HFMD or HA during the following periods: pre-COVID-19 (January 2019 to December 2019), the COVID-19 pandemic (January 2020 to December 2022), and post-COVID-19 (January to December 2023). A total of 41 742 specimens that met the inclusion criteria were obtained, of which 1998 (4.79%) tested positive for enterovirus. In comparison to those in the pre-COVID-19 period, which had 695 (5.63%) HEV-positive specimens, the numbers dramatically decreased to 69 (1.19%), 398 (5.12%), and 112 (1.58%) in 2020, 2021, and 2022, respectively, but significantly increased to 724 (8.27%) in 2023. Seasonal peaks of infections occurred in May, June, July, and August each year, with the total detection rate ranging from 2019 to 2023 being 9.41% in May, 22.47% in June, 28.23% in July, and 12.16% in August, respectively. The difference in the detection rates of HEV infection between males and females was statistically significant (p < 0.005), with 5.11% (1221/23 898) of males and 4.35% (777/17 844) of females testing positive, resulting in a male-to-female positive ratio of 1.57:1. Among the age groups, 11.25% (378/3360) of the children aged 3-5 years had the highest detection rate, which steadily decreased with increasing or decreasing age. The detection of HEV indicated that >95% of the viruses were other types than the previously commonly reported enterovirus 71 (EV-A71) and coxsackievirus A16 (CV-A16). In conclusion, NPIs for COVID-19 may be effective at reducing the transmission of HEV. However, with the relaxation of NPIs, the detection rate of HEVs increased slowly to a certain extent. Active awareness and surveillance of the epidemiological characteristics of HEV are essential for preventing, controlling, and managing the development of HFMD and HA, as well as contributing to the development of a multivalent HFMD vaccine.

Study of Face Mask-associated Dry Eye among Medical Students

Purpose

The purpose of this study was to evaluate face mask-associated factors causing dry eye among medical students.

Methodology

This was a cross-sectional study conducted on undergraduate medical and dental students, of all phases, while they were attending offline classes and were required to wear face masks in accordance with the government regulations. Sociodemographic data, ocular and medical history, face mask-wearing practices, screen usage, and quantification of symptoms using the modified Ocular Surface Disease Index (OSDI) questionnaire were collected. Objective tests were conducted in students having dry eye. The association of quantitative variables was done using ANOVA, Mann-Whitney, and Kruskal-Wallis test, whereas the Chi-square test was done for qualitative variables. Multivariate logistic regression was used to identify the risk factors for varying severity of dry eye.

Results

The mean age of the 410 students was 21 ± 1.6 years. According to the OSDI, 39.51% (162/410) of students had dry eyes, 23.41% (96/410) had mild dry eye, 8.78% (36/410) had moderate dry eye, and 7.32% (30/410) had severe dry eye. Face mask-associated factors which were significantly linked to dry eye were N95 masks, loose-fit masks, and 6-8 h of continuous mask use. The Schirmer's test and tear film break-up time were performed on 29 and 20 students, respectively, mean values being 19.25 ± 5.29 mm and 10.15 ± 1.41 s for nonsevere and 6.53 ± 1.55 mm and 5.3 ± 0.98 s for severe dry eye, respectively.

Conclusion

It is important to educate medical students and create awareness regarding "face mask-appropriate behavior" to reduce the chances of dry eye secondary to face masks use.

Correlations between COVID-19 cases and temperature, air humidity, and social isolating rate with cross wavelet transform and wavelet coherence: Case study of New York and São Paulo cities

The COVID-19 pandemic originated in 2019 and has become an endemic disease that we must learn to live with, similar to other strains of influenza. The Organization (WHO) declared on May 5, 2023, in Geneva, Switzerland, the end of the Public Health Emergency of International Concern regarding COVID-19. As vaccines become more widely available and the pandemic appears to be improved, our focus shifts to the challenges we still face. Understanding how external factors like temperature, air humidity, and social isolation impact the spread of the SARS-CoV-2 virus remains a crucial challenge beyond our control. In this study, potential links between the number of COVID-19 cases in São Paulo City (SPC) and New York City (NWC) were explored. Our analysis was carried out utilizing the continuous wavelet transform, alongside other tools such as cross-wavelet transform and wavelet coherence. Based on our findings, there appears to be a correlation between the variables related to low frequencies, which aligns with previous research on the topic. Particularly, our research has revealed a connection between COVID-19 cases and factors such as temperature, air humidity, and social isolation rates. Regarding the latter, our findings indicate that implementing social distancing measures was a wise public policy decision, although the correlation with daily COVID-19 cases requires careful analysis. For this study, we analyzed data from February of 2020, when the first cases were reported in the cities under investigation, SPC and NWC, up until December 31, 2022, by which time the vaccination campaign was well under way.

Assessment of Standard Operating Procedures (SOPs) Preparing Hygienic Condition in the Blood Donation Centers during the Outbreak of COVID-19

Background: The coronavirus disease 2019 (COVID-19) outbreak has led to an alteration in hygienic conditions. In this situation, improving standard operating procedures (SOPs) in blood donation centers is critical. The purpose of this study was the assessment of SOPs in the blood donation centers during the outbreak of COVID-19 by regular blood donors as external audits. Materials and Methods: Regular donors were selected as external inspectors in 31 provinces of Iran. The questionnaire containing 10 closed questions was provided to assess the hygienic SOPs of blood transfusion centers in the prevention of COVID-19 transmission. Comparison and evaluation of questionnaires were conducted by assigning an importance coefficient (IC) score to each question. Results: Assessment of SOPs in blood donation departments by regular donors in 31 provinces of Iran showed that 18 centers (58.1%) received IC scores >10(Strong performance), seven centers (22.6%) received the range of IC scores between7-10(acceptable performance), and six centers (19.4%) received IC scores <7(poor performance). The difference in IC scores between provinces was not statistically significant. Conclusion: This study confirms that the assessment of blood donation centers through regular blood donor inspection is a reliable method to identify the strengths and weaknesses of blood transfusion center services and ultimately leads to corrective intervention and improvement of hygienic SOPs to prevent COVID-19 transmission.

Risk perception of compound emergencies: A household survey on flood evacuation and sheltering behavior during the COVID-19 pandemic

Compound hazards are derived from independent disasters that occur simultaneously. Since the outbreak of COVID-19, the coupling of low-probability high-impact climate events has introduced a novel form of conflicting stressors that inhibits the operation of traditional logistics developed for single-hazard emergencies. The competing goals of hindering virus contagion and expediting massive evacuation have posed unique challenges for community safety. Yet, how a community perceives associated risks has been debated. This research utilized a web-based survey to explore the relationship between residents' perceptions of conflicting risks and emergency choices made during a historic compound event, the flooding in 2020 in Michigan, US that coincided with the pandemic. After the event, postal mail was randomly sent to 5,000 households living in the flooded area, collecting 556 responses. We developed two choice models for predicting survivors' evacuation options and sheltering length. The impact of sociodemographic factors on perceptions of COVID-19 risks was also examined. The results revealed greater levels of concern among females, democrats, and the economically inactive population. The relationship between evacuation choice and concern about virus exposure was dependent upon the number of seniors in the household. Concern about a lack of mask enforcement particularly discouraged evacuees from extended sheltering.

Association of depressive symptoms with Geriatric Locomotive Function Scale score in community-dwelling older adults living in the state of emergency

BACKGROUND

Under the state of emergency, it has been reported that the amount of physical activity among community-dwelling older adults has decreased significantly due to refraining from going out, and there are strong concerns about the Geriatric Locomotive Function Scale and deterioration of mental health. Therefore, this study aimed to investigate whether the depressive state before the coronavirus disease 2019 (COVID-19) pandemic affected the 25-Geriatric Locomotive (GLFS) score during the COVID-19 pandemic among community-dwelling older adults.

METHODS

The participants were 194 community-dwelling older adults (45 men, 149 women) with an average age of 75.5 ± 5.5 years who responded to a self-administered survey conducted three times (preliminary, second, and third) from before the 2018 COVID-19 pandemic to March 2021. Individuals with a score of ≥ 10 on the Geriatric Depression Scale 15 (GDS 15) were excluded. The survey items included the 25-question Geriatric Locomotive Function Scale (GLFS25), GDS 15, and other basic attributes. Those with scores of 5 to 9 on the GDS 15 and those with scores of 0 to 4 were assigned to the depressive symptoms (DS) group and the non-DS group, respectively. Statistical analysis was performed using two-way analysis of variance. The Mann-Whitney U test was used for comparisons between the groups.

RESULTS

In total, 187 patients were included in the analysis, excluding 7 patients. GLFS 25 showed a significant increase in scores at the second and third time points compared with baseline, and a main effect was confirmed in both groups, with no interaction effect. The second time, the score was 10.0 ± 8.5 and 13.7 ± 10.5 in the non-DS and DS groups, respectively. The third time, the non-DS and DS groups scored 10.8 ± 10.5 and 14.9 ± 10.1 points, respectively, indicating a significant difference.

CONCLUSIONS

Our results revealed that the increase in the GLFS 25 score in community-dwelling older adults during the COVID-19 pandemic was related to their DS during normal times before the pandemic. Evaluating such individuals and providing social support may effectively reduce the deterioration of the GLFS 25 score.

How Ethical Ideology Influences Mask-Wearing Intention in a Pandemic: The Mediating Role of Moral Norms and Threat to Freedom

The present study examined how two types of ethical ideologies (idealism, and relativism) influenced behavioral intention to wear a mask during the COVID-19 pandemic through two appraisals (moral norms, and threat to freedom) of a mask-wearing issue. A total of 823 responses were collected through a cross-sectional survey, and 776 responses were used for testing hypotheses. The study found that idealism has a significant indirect effect on behavioral intention through increased moral norms and decreased threat to freedom. Also, the study revealed that relativism has a significant indirect effect on behavioral intention through increased threat to freedom.

Navigating complex trade-offs in public health interventions

Public health, just as any policy-related field, faces the evergreen problem of turning knowledge into action. Among other problems, there is a clash between the inherent complexity of public health problems and the inevitable push, by decision-makers and the public, to simplify them. The Covid-19 pandemic has shown the insufficiencies of our current epistemological, methodological and normative apparatus to handle such crises in a timely manner. Despite this, several authors have been arguing for the importance of engaging global crises such as Covid-19 in ways that do not oversimplify key dimensions of the issues involved. In this paper, we contribute to this emerging scholarship. Building on existing work in the field of environmental problem-solving, we propose an integrative approach to navigating complex trade-offs in public health interventions. Briefly put, we propose that decision making should be informed by an analysis of any given problem from four distinct, but interrelated, lenses: (i) values and valuation, (ii) process and governance, (iii) power and inequalities and (iv) scientific evidence, methods and concepts. This normative framework, we argue, can help with spelling out the complexity of public health problems and with spelling out the rationale behind public health decision making to non-specialists and the general public. We illustrate our approach using the controversy over wearing face masks in the Covid-19 pandemic.

Impacts of protective face masks on ocular surface symptoms among healthcare professionals during the COVID-19 pandemic

BACKGROUND

To assess the impacts of prolonged protective face masks (PFM) wear on ocular surface symptoms among healthcare professionals (HCPs), and how these symptoms affected PFM wear.

METHODS

Thirty-question survey forms were distributed via social media platform to 396 HCPs (110 doctors, 164 nurses, and 122 health technicians) between September 8 and 30, 2021. Participants who could not be reached via social media were given a face-to-face questionnaire. Aside from sociodemographic data, the questionnaire inquired about PFM wear, PFM types, ocular surface symptoms, and how PFM wear has changed during the COVID-19 pandemic.

RESULTS

A total of 74.5% of HCPs reported wearing PFMs, mostly surgical ones (76.8%), for half a day at work but not at home, with redness (29.3%) being the most frequently encountered ocular surface symptom, followed by burning (15.7%), pain (14.1%), tingling (10.9%), and rash (6.6%). The presence of associated restrictions in conjunction with PFM-related ocular symptoms was more likely in dry and hot environments. There was no significant relationship between PFM type, PFM-wearing duration, and HCPs' daily activities (p > 0.05). Despite the lack of a significant relationship between PFM types and ocular surface symptoms (p > 0.05), there was a significant relationship between PFM-wearing duration and ocular pain (p < 0.05).

CONCLUSIONS

PFM-related ocular surface symptoms can be alleviated by properly wearing PFMs, reducing wear time, and using long-acting topical lubricants. This could improve PFM wear compliance, prevent disease transmission, and ultimately help with COVID-19 protection.

L, Vaiyapuri T, Ahanger TA, Dahan F, Hajjej F, Keshta I, Alsafyani M, Alroobaea R, Raahemifar K. A convolutional neural network for face mask detection in IoT-based smart healthcare systems

The new coronavirus that produced the pandemic known as COVID-19 has been going across the world for a while. Nearly every area of development has been impacted by COVID-19. There is an urgent need for improvement in the healthcare system. However, this contagious illness can be controlled by appropriately donning a facial mask. If people keep a strong social distance and wear face masks, COVID-19 can be controlled. A method for detecting these violations is proposed in this paper. These infractions include failing to wear a facemask and failing to maintain social distancing. To train a deep learning architecture, a dataset compiled from several sources is used. To compute the distance between two people in a particular area and also predicts the people wearing and not wearing the mask, The proposed system makes use of YOLOv3 architecture and computer vision. The goal of this research is to provide valuable tool for reducing the transmission of this contagious disease in various environments, including streets and supermarkets. The proposed system is evaluated using the COCO dataset. It is evident from the experimental analysis that the proposed system performs well in predicting the people wearing the mask because it has acquired an accuracy of 99.2% and an F1-score of 0.99.

COVID-19 Prevention Strategies for Victoria Students within Educational Facilities: An AI-Based Modelling Study

Educational institutions play a significant role in the community spread of SARS-CoV-2 in Victoria. Despite a series of social restrictions and preventive measures in educational institutions implemented by the Victorian Government, confirmed cases among people under 20 years of age accounted for more than a quarter of the total infections in the state. In this study, we investigated the risk factors associated with COVID-19 infection within Victoria educational institutions using an incremental deep learning recurrent neural network-gated recurrent unit (RNN-GRU) model. The RNN-GRU model simulation was built based on three risk dimensions: (1) school-related risk factors, (2) student-related community risk factors, and (3) general population risk factors. Our data analysis showed that COVID-19 infection cases among people aged 10–19 years were higher than those aged 0–9 years in the Victorian region in 2020–2022. Within the three dimensions, a significant association was identified between school-initiated contact tracing (0.6110), vaccination policy for students and teachers (0.6100), testing policy (0.6109), and face covering (0.6071) and prevention of COVID-19 infection in educational settings. Furthermore, the study showed that different risk factors have varying degrees of effectiveness in preventing COVID-19 infection for the 0–9 and 10–19 age groups, such as state travel control (0.2743 vs. 0.3390), international travel control (0.2757 vs. 0.3357) and school closure (0.2738 vs. 0.3323), etc. More preventive support is suggested for the younger generation, especially for the 10–19 age group.

Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses

The outbreak of the COVID-19 pandemic has significantly increased the demand for personal protective equipment, in particular face masks, thus leading to a huge amount of healthcare waste generated worldwide. Consequently, such an unprecedented amount of newly emerged waste has posed significant challenges to practitioners, policy-makers, and municipal authorities involved in waste management (WM) systems. This research aims at mapping the COVID-19-related scientific production to date in the field of WM. In this vein, the performance indicators of the target literature were analyzed and discussed through conducting a bibliometric analysis. The conceptual structure of COVID-19-related WM research, including seven main research themes, were uncovered and visualized through a text mining analysis as follows: (1) household and food waste, (2) personnel safety and training for waste handling, (3) sustainability and circular economy, (4) personal protective equipment and plastic waste, (5) healthcare waste management practices, (6) wastewater management, and (7) COVID-19 transmission through infectious waste. Finally, a research agenda for WM practices and activities in the post-COVID-19 era was proposed, focusing on the following three identified research gaps: (i) developing a systemic framework to properly manage the pandemic crisis implications for WM practices as a whole, following a systems thinking approach, (ii) building a circular economy model encompassing all activities from the design stage to the implementation stage, and (iii) proposing incentives to effectively involve informal sectors and local capacity in decentralizing municipal waste management, with a specific focus on developing and less-developed countries.

COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model

The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society, has been one of the most important priorities. The Turkish Standards Institution has determined a checklist to contribute to developing safe and clean environments in higher education institutions in Turkey and to follow-up on infection control measures. However, this study is only a checklist that makes it necessary for decision-makers to make a subjective evaluation during the evaluation process, while the need to develop a more effective, systematic framework that takes into account the importance levels of multiple criteria has emerged. Therefore, this study applies the best-worst method under interval type-2 fuzzy set concept (IT2F-BWM) to determine the importance levels of criteria affecting the "COVID-19 safe campus" evaluation of universities in the context of global pandemic. A three-level hierarchy consisting of three main criteria, 11 sub-criteria, and 58 sub-criteria has been created for this aim. Considering the hierarchy, the most important sub-criterion was determined as periodic disinfection. The high contribution of the interval-valued type-2 fuzzy sets in expressing the uncertainty in the decision-makers' evaluations and the fact that BWM provides criterion weights with a mathematical optimization model that produces less pairwise comparisons and higher consistency are the main factors in choosing this approach. Simple additive weighting (SAW) has also been injected into the IT2F-BWM to determine the safety level of any university campus regarding COVID-19. Thus, decision-makers will be better prepared for the devastating effects of the pandemic by first improving the factors that are relatively important in the fight against the pandemic. In addition, a threshold value will be determined by considering all criteria, and it will prepare the ground for a road map for campuses. A case study is employed to apply the proposed model, and a comparison study is also presented with the Bayesian BWM to validate the results of the criteria weights.

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.

Explicating gender disparity in wearing face masks during the COVID-19 pandemic

BACKGROUND

The available evidence suggests that women were more likely to wear face masks as a precaution during the COVID-19 pandemic. However, few studies have explicated this gender disparity in wearing face masks. This study investigates associations of demographic factors with wearing face masks in Malaysia during the COVID-19 pandemic, then explicates gender disparity in wearing face masks from the lens of the Protection Motivation Theory.

METHODS

The first part of this study employed a structured online survey of 708 Malaysian adult participants. Data collected were quantitatively analyzed by means of descriptive statistics, bivariate correlations, analysis of variance (ANOVA), and multiple linear regression. The second part of this study was conducted among 28 women to better understand gender disparity in protection motivations from the perspectives of women.

RESULTS

Gender has the strongest positive association with wearing face masks (p-value < .001), followed by age (p-value = .028). The Protection Motivation Theory adequately explicated the gender disparity in wearing face masks. Additionally, women were motivated to wear face masks beyond protection from the SARS-CoV-2.

CONCLUSION

Understanding the underlying motivations for wearing face masks informs design of gender-based public health messages to increase compliance with public health regulations and reduce morbidity and mortality for present and future public health crises.

The significant transformation of life into health and beauty in metaverse era

BACKGROUND

In 2019, coronavirus disease-19 (COVID-19) continues, and it is evolving and starting again. It is a situation to keep in mind that now is the era of With Corona (WC) and Long-COVID. "WC" will be a transformation of the quarantine system. The current situation is associated with health and beauty. Sustainability of healthy beauty is giving new meaning to well-being and well-dying.

OBJECTIVES

Therefore, in this study, we empirically analyzed the changes in the perception of health and beauty among cosmetic consumers in the metaverse, which are recently becoming an issue in the WC era.

METHODS

It was created by searching keywords such as "With Corona," "Health," "Life Beauty," "Customized inner beauty," "Customized cosmetics," "Metaverse," "DTC GT," etc. This study was conducted with reference to PubMed, Google Scholar, Riss, Scopus, and ResearchGate. Accordingly, a total of 472 papers were researched, and among them, 32 papers, which are the focus of the study, were finally included in this study.

RESULTS

As the era of WC changes, a new paradigm of converting the customer experience of the beauty market into a metaverse will be beginning. Accordingly, it is necessary to pay attention to changes in the cosmetic industry by reflecting the needs of consumers.

CONCLUSION

It is necessary to create a new mobile platform that encompasses three-dimensional health and beauty life using direct-to-customer genetic testing (DTC GT) with Web 3.0 in the metaverse that integrates life health and beauty in the WC era. Accordingly, it is expected that this article will be used as an invaluable marketing material in preparation for new changes in the metaverse cosmetics market in the future by clearly understanding the needs of consumers in the cosmetics industry, which are changing as they transformation to WC era.

The gendered dimensions of the anti-mask and anti-lockdown movement on social media

This paper examines the anti-mask and anti-lockdown online movement in connection to the COVID-19 pandemic. To combat the spread of the coronavirus, health officials around the world urged and/or mandated citizens to wear facemasks and adopt physical distancing measures. These health policies and guidelines have become highly politicized in some parts of the world, often discussed in association with freedom of choice and independence. We downloaded references to the anti-mask and anti-lockdown social media posts using 24 search terms. From a total of 4209 social media posts, the researchers manually filtered the explicit visual and textual content that is related to discussions of different genders. We used multimodal discourse analysis (MDM) which analyzes diverse modes of communicative texts and images and focuses on appeals to emotions and reasoning. Using the MDM approach, we analysed posts taken from Facebook and Instagram from active anti-mask and anti-lockdown users, and we identified three main discourses around the gendered discussion of the anti-mask movement including hypermasculine, sexist and pejorative portrayals of "Karen", and appropriating freedom and feminism discourses. A better understanding of how social media users evoke gendered discourses to spread anti-mask and anti-lockdown messages can help researchers identify differing reactions toward pandemic measures.

The Effect of Face Mask, Air Temperature, and Humidity on COVID-19 Transmission: A Systematic Review and Meta-analysis

Context: At the beginning of the COVID-19 pandemic, the effects of personal protective equipment (PPE) such as face masks, as well as environmental conditions, including temperature and humidity changes, were discussed due to the lack of effective medicine. Methods: The preferred reporting items for systematic reviews and meta-analysis (PRISMA) were implemented to conduct the present systematic review. The articles were selected from papers published by May 2020 in PubMed, Web of Science, Science Direct, Scopus, and Google Scholar databases. This meta-analysis estimated relative risk (RR) and pooled mean depicted as effect size (ES) using the random or fixed effects methods. Results: Ten studies met inclusion criteria, four of which addressed the effect of face masks and six of which dealt with temperature and humidity changes. This eta-analysis study showed that wearing face masks against the COVID-19 virus had a remarkable safety impact with RR (%95 CI) 8.56 (2.10 - 34.90), (I2 = %0.0 P = 0.999), and the pooled mean changes in temperature and humidity were estimated to be with ES (%95 CI) 9.03 (4.32 - 13.74), (I2 = %99.7, P = 0.0001) and with ES (%95 CI) 56.82 (46.12 - 67.51), ( I2 = %99.3, P = 0.0001) during the outbreak of the COVID-19. Conclusions: The findings of this systematic review and meta-analysis illustrate the effectiveness of face masks, in general, in preventing the transmission of the COVID-19 virus. According to the findings, temperature and humidity changes do not increase the outbreak of the COVID-19 virus.

Stay-at-home and face mask policy intentions inconsistent with incidence and fatality during the US COVID-19 pandemic

During the COVID-19 pandemic, many states imposed stay-at-home (SAH) and mandatory face mask (MFM) orders to supplement the United States CDC recommendations. The purpose of this study was to characterize the relationship between SAH and MFM approaches with the incidence and fatality of COVID-19 during the pandemic period until 23 August 2020 (about 171 days), the period with no vaccines or specific drugs that had passed the phase III clinical trials yet. States with SAH orders showed a potential 50-60% decrease in infection and fatality during the SAH period (about 45 days). After normalization to population density, there was a 44% significant increase in the fatality rate in no-SAH + no-MFM states when compared to SAH + MFM. However, many results in this study were inconsistent with the intent of public health strategies of SAH and MFM. There were similar incidence rates (1.41, 1.81, and 1.36%) and significant differences in fatality rates (3.40, 2.12, and 1.25%; p < 0.05) and mortality rates (51.43, 34.50, and 17.42 per 100,000 residents; p < 0.05) among SAH + MFM, SAH + no-MFM, and no-SAH + no-MFM states, respectively. There were no significant differences in total positive cases, average daily new cases, and average daily fatality when normalized with population density among the three groups. This study suggested potential decreases in infection and fatality with short-term SAH order. However, SAH and MFM orders from some states' policies probably had limited effects in lowering transmission and fatality among the general population. At the policy-making level, if contagious patients would not likely be placed in strict isolation and massive contact tracing would not be effective to implement, we presume that following the CDC's recommendations with close monitoring of healthcare capacity could be appropriate in helping mitigate the COVID-19 disaster while limiting collateral socioeconomic damages.

Mask wearing on an HBCU campus during the COVID-19 pandemic

Objective: Young adults of age 18-29 years old account for the most COVID-19 cases in the US, and ethnic groups were affected disproportionately. Correctly wearing a face mask remains a critical intervention for COVID-19 mitigation. The study aimed to examine how well Historically Black Colleges and Universities (HBCUs) residents adhered to mask wearing during the pandemic. Methods: We conducted an observational study on an urban HBCU campus and the neighborhoods in Maryland for 13 weeks in spring 2021. Results: Of 1926 (1126 on campus; 800 off campus) persons observed, 89.8% wore masks, with 83.5% covering their mouths and noses. The HBCU campus showed better mask adherence than neighborhoods (92.0% vs. 86.7%). The most common improper mask wearing was nose out, followed by only-on-chin. Cloth and surgical masks were worn the most. Conclusion: The HBCU campus and neighborhood settings presented a high rate of facemask use during the pandemic.

Thermal degradation of hazardous 3-layered COVID-19 face mask through pyrolysis: Kinetic, thermodynamic, prediction modelling using ANN and volatile product characterization

Nowadays, wearing a 3-layered face mask (3LFM) to protect against coronavirus illness (COVID-19) has become commonplace, resulting in massive, hazardous solid waste. Since most of them are infected with viruses, a secure way of disposal is necessary to prevent further virus spread. Pyrolysis treatment has recently developed as an effective method for disposing of such hazardous waste and consequently converting them into energy products. In this regard, the goal of the present study is to physicochemically characterize the 3LFM followed by pyrolysis in a TGA to evaluate the pyrolysis performance, kinetic, and thermodynamic parameters and in a semi-batch reactor to characterize the volatile product. Furthermore, an artificial neural network (ANN) was used to forecast thermal deterioration data. The results demonstrated a strong correlation between real and anticipated values. The study proved the relevance of the ANN model and the applicability of pyrolysis for disposing of 3LFM while simultaneously producing energy products.

The impact of crowd gatherings on the spread of COVID-19

Crowd gatherings are an important cause of COVID-19 outbreaks. However, how the scale, scene and other factors of gatherings affect the spread of the epidemic remains unclear. A total of 184 gathering events worldwide were collected to construct a database, and 99 of them with a clear gathering scale were used for statistical analysis of the impact of these factors on the disease incidence among the crowd in the study. The results showed that the impact of small-scale (less than 100 people) gathering events on the spread of COVID-19 in the city is also not to be underestimated due to their characteristics of more frequent occurrence and less detection and control. In our dataset, 22.22% of small-scale events have an incidence of more than 0.8. In contrast, the incidence of most large-scale events is less than 0.4. Gathering scenes such as "Meal" and "Family" occur in densely populated private or small public places have the highest incidence. We further designed a model of epidemic transmission triggered by crowd gathering events and simulated the impact of crowd gathering events on the overall epidemic situation in the city. The simulation results showed that the number of patients will be drastically reduced if the scale and the density of crowds gathering are halved. It indicated that crowd gatherings should be strictly controlled on a small scale. In addition, it showed that the model well reproduce the epidemic spread after crowd gathering events better than does the original SIER model and could be applied to epidemic prediction after sudden gathering events.

Using the concept of circular economy to reduce the environmental impact of COVID-19 face mask waste

COVID-19 pandemic has posed severe threats to the society globally. World Health Organization (WHO) guidelines suggest that people wear face masks as a precautionary measure daily. This has resulted in the generation of massive amounts of mask-associated waste in the environment. Owing to the criticality of the epidemic, there has not been a large-scale investigation on where to discard masks, making this situation daunting. As the pandemic continues, the use of masks continues to increase; repeated use and disposal of masks has become an imperative issue. Most disposable masks comprise chemical fibers in the filter layer. Without proper treatment and disposal, these large amounts of chemical waste will eventually flow into rivers or oceans, leading to serious pollution. Therefore, to reduce the negative effects on the marine environment, it is crucial that we produce reusable masks and reduce disposable wearing habits. This study aimed to resolve this challenge using textile materials created by recycling fish-scale waste. Functional and comfortable masks manufactured without chemical additives to achieve multiple functions can increase the willingness to wear and be reused. Hence, product use can be prolonged, and the use of disposable masks can be curtailed. The product manufactured herein is biodegradable in nature, thus conforming to the green sustainable initiative.

A novel algorithm for mask detection and recognizing actions of human

Face recognition has become a significant challenge today since an increasing number of individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its rapid proliferation, it has garnered growing attention. The technique proposed in this chapter seeks to produce unconstrained generic actions in the video. Conventional anomaly detection is difficult because computationally expensive characteristics cannot be employed directly, owing to the necessity for real-time processing. Even before activities are completely seen, they must be located and classified. This paper proposes an expanded Mask R-CNN (Ex-Mask R-CNN) architecture that overcomes these issues. High accuracy is achieved by using robust convolutional neural network (CNN)-based features. The technique consists of two steps. First, a video surveillance algorithm is employed to determine whether or not a human is wearing a mask. Second, Multi-CNN forecasts the frame's suspicious conventional abnormality of people. Experiments on tough datasets indicate that our approach outperforms state-of-the-art online traditional detection of anomaly systems while maintaining the real-time efficiency of existing classifiers.

A descriptive study of knowledge, attitudes, behaviors, and precautions of physiotherapy and rehabilitation students regarding COVID-19

BACKGROUND: Physiotherapy and rehabilitation students need to be aware of the global COVID-19 pandemic and choose the correct interventions. OBJECTIVES: To investigate the knowledge, attitudes, behaviors, and precautions of physiotherapy and rehabilitation students regarding COVID-19 during the global pandemic. METHODS: A total of 438 physiotherapy and rehabilitation students participated in the study. A web-based descriptive cross-sectional questionnaire was conducted using the “Google Forms” on physiotherapy and rehabilitation students in the months of February, March, and April 2021. The online questionnaire consisted of six main sections containing 130 items: (1) sociodemographic information, (2) knowledge sources and knowledge about COVID-19, (3) attitudes about COVID-19, (4) behaviors, (5) precautions, and (6) being a physiotherapy and rehabilitation student during the COVID-19 pandemic. The collected data were reported in terms of mean, standard deviation, number, frequency, and percentage values. RESULTS: The vast majority of the participants (n = 291, 66.5%) often/always accessed information about COVID-19 via social media, 397 (90.6%) of them often/always wear masks. Moreover, 419 (95.6%) of the physiotherapy students knew the symptoms of COVID-19, and 409 (93.4%) of the students have been responded “yes” to the question of whether pulmonary rehabilitation should be applied in intensive care units for COVID-19 infections. CONCLUSIONS: Physiotherapy and rehabilitation students have adequate awareness about COVID-19. In this regard, physiotherapy and rehabilitation students should be included in appropriate educational programs to protect themselves, their relatives, and patients against COVID-19, and their knowledge about the treatment methods should be increased.

Cross-sectional survey of changes in knowledge, attitudes and practice of mask use in Sydney and Melbourne during the 2020 COVID-19 pandemic

OBJECTIVES

Since mask uptake and the timing of mask use has the potential to influence the control of the COVID-19 pandemic, this study aimed to assess the changes in knowledge toward mask use in Sydney and Melbourne, Australia, during the 2020 COVID-19 pandemic.

DESIGN

An observational study, using a cross-sectional survey, was distributed to adults in Sydney and Melbourne, Australia, during July-August 2020 (survey 1) and September 2020 (survey 2), during the COVID-19 pandemic in Australia.

SETTING AND PARTICIPANTS

Participants aged 18 years or older and living in either Sydney or Melbourne.

PRIMARY AND SECONDARY OUTCOME MEASURES

Demographics, risk measures, COVID-19 severity and perception, mask attitude and uptake were determined in this study.

RESULTS

A total of 700 participants completed the survey. In both Sydney and Melbourne, a consistent decrease was reported in almost all risk-mitigation behaviours between March 2020 and July 2020 and again between March 2020 and September 2020. However, mask use and personal protective equipment use increased in both Sydney and Melbourne from March 2020 to September 2020. There was no significant difference in mask use during the pandemic between the two cities across both timepoints (1.24 (95% CI 0.99 to 1.22; p=0.072)). Perceived severity and perceived susceptibility of COVID-19 infection were significantly associated with mask uptake. Trust in information on COVID-19 from both national (1.77 (95% CI 1.29 to 2.44); p<0.000)) and state (1.62 (95% CI 1.19 to 2.22); p=0.003)) government was a predictor of mask use across both surveys.

CONCLUSION

Sydney and Melbourne both had high levels of reported mask wearing during July 2020 and September 2020, consistent with the second wave and mask mandates in Victoria, and cluster outbreaks in Sydney at the time. High rates of mask compliance may be explained by high trust levels in information from national and state government, mask mandates, risk perceptions, current outbreaks and the perceived level of risk of COVID-19 infection at the time.

Patterns of human social contact and mask wearing in high-risk groups in China

Background

The pandemic of coronavirus disease 2019 (COVID-19) has changed human behavior in areas such as contact patterns and mask-wearing frequency. Exploring human–human contact patterns and mask-wearing habits in high-risk groups is an essential step in fully understanding the transmission of respiratory infection-based diseases. This study had aims to quantify local human–human (H–H) contacts in high-risk groups in representative provinces of China and to explore the occupation-specific assortativity and heterogeneity of social contacts.

Methods

Delivery workers, medical workers, preschoolers, and students from Qinghai, Shanghai, and Zhejiang were recruited to complete an online questionnaire that queried general information, logged contacts, and assessed the willingness to wear a mask in different settings. The “group contact” was defined as contact with a group at least 20 individuals. The numbers of contacts across different characteristics were assessed and age-specific contact matrices were established. A generalized additive mixed model was used to analyze the associations between the number of individual contacts and several characteristics. The factors influencing the frequency of mask wearing were evaluated with a logistic regression model.

Results

A total of 611,287 contacts were reported by 15,635 participants. The frequency of daily individual contacts averaged 3.14 (95% confidence interval: 3.13–3.15) people per day, while that of group contacts was 37.90 (95% CI: 37.20–38.70). Skin-to-skin contact and long-duration contact were more likely to occur at home or among family members. Contact matrices of students were the most assortative (all contacts q-index = 0.899, 95% CI: 0.894–0.904). Participants with larger household sizes reported having more contacts. Higher household income per capita was significantly associated with a greater number of contacts among preschoolers (P_{50,000–99,999} = 0.033) and students (P_{10,000–29,999} = 0.017). In each of the public places, the frequency of mask wearing was highest for delivery workers. For preschoolers and students with more contacts, the proportion of those who reported always wearing masks was lower (P < 0.05) in schools/workplaces and public transportation than preschoolers and students with fewer contacts.

Conclusions

Contact screening efforts should be concentrated in the home, school, and workplace after an outbreak of an epidemic, as more than 75% of all contacts, on average, will be found in such places. Efforts should be made to improve the mask-wearing rate and age-specific health promotion measures aimed at reducing transmission for the younger demographic. Age-stratified and occupation-specific social contact research in high-risk groups could help inform policy-making decisions during the post-relaxation period of the COVID-19 pandemic.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s40249-022-00988-8.

Uncertainty analysis of facemasks in mitigating SARS-CoV-2 transmission

In the context of global spread of coronavirus disease 2019 (COVID-19) caused by a novel coronavirus (SARS-CoV-2), there is a controversial issue on whether the use of facemasks is promising to control or mitigate the COVID-19 transmission. This study modeled the SARS-CoV-2 transmission process and analyzed the ability of surgical mask and N95 in reducing the infection risk with Sobol's analysis. Two documented outbreaks of COVID-19 with no involvers wearing face masks were reviewed in a restaurant in Guangzhou (China) and a choir rehearsal in Mount Vernon (USA), suggesting that the proposed model can be well validated when airborne transmission is assumed to dominate the virus transmission indoors. Subsequently, the uncertainty analysis of the protection efficiency of N95 and surgical mask were conducted with Monte Carlo simulations, with three main findings: (1) the uncertainty in infection risk is primarily apportioned by respiratory activities, virus dynamics, environment factors and individual exposures; (2) wearing masks can effectively reduce the SARS-CoV-2 infection risk to an acceptable level (< 10^-3) by at least two orders of magnitude; (3) faceseal leakage can reduce protection efficiency by approximately 4% when the infector is speaking or coughing, and by approximately 28% when the infector is sneezing. This work indicates the effectiveness of non-pharmaceutical interventions during the pandemic, and implies the importance of the synergistic studies of medicine, environment, social policies and strategies, etc., on reducing hazards and risks of the pandemic.

Effect of Wearing Surgical Face Masks on Gas Detection from Respiration Using Photoacoustic Spectroscopy

Wearing surgical face masks is among the measures taken to mitigate coronavirus disease (COVID-19) transmission and deaths. Lately, concern was expressed about the possibility that gases from respiration could build up in the mask over time, causing medical issues related to the respiratory system. In this research study, the carbon dioxide concentration and ethylene in the breathing zone were measured before and immediately after wearing surgical face masks using the photoacoustic spectroscopy method. From the determinations of this study, the C₂H₄ was established to be increased by 1.5% after one hour of wearing the surgical face mask, while CO₂ was established to be at a higher concentration of 1.2% after one hour of wearing the surgical face mask, when the values were correlated with the baseline (control).

Changes in the use of cosmetics worldwide due to increased use of masks in the coronavirus disease‐19 pandemic

Background

According to recent experience, people are willing to wear masks to protect themselves from environmental issues such as infections, allergies, and fine dust such as SARS in 2003, swine flu A (H1N1) in 2009, and COVID‐19 in 2019.

Objectives

The objective of this study was to investigate the changing conditions of cosmetics use worldwide due to the increase in mask usage.

Methods

This review paper is a literature review, and a narrative review approach has been used for this study. A total of 300–400 references were selected using representative journal search websites such as PubMed, Google Scholar, Scopus, and RISS, of which a total of 39 papers were selected in the final stage based on 2006–2021.

Results

Masks must be worn due to environmental issues and/or infectious diseases, for example, COVID‐19. Skin troubles were dramatically increased by the increased use of masks. Additionally, research‐related natural products for skin soothing ingredients and makeup products were suggested.

Conclusion

This review is expected to be used as an important marketing material for new changes in the cosmetics market by clearly grasping the needs of consumers in the beauty and cosmetics industry from the viewpoint of using masks after COVID‐19.

A Review on Measures to Rejuvenate Immune System: Natural Mode of Protection Against Coronavirus Infection

SARS-CoV-2, a novel Corona virus strain, was first detected in Wuhan, China, in December 2019. As of December 16, 2021, almost 4,822,472 people had died and over 236,132,082 were infected with this lethal viral infection. It is believed that the human immune system is thought to play a critical role in the initial phase of infection when the viruses invade the host cells. Although some effective vaccines have already been on the market, researchers and many bio-pharmaceuticals are still working hard to develop a fully functional vaccine or more effective therapeutic agent against the COVID-19. Other efforts, in addition to functional vaccines, can help strengthen the immune system to defeat the corona virus infection. Herein, we have reviewed some of those proven measures, following which a more efficient immune system can be better prepared to fight viral infection. Among these, dietary supplements like- fresh vegetables and fruits offer a plentiful of vitamins and antioxidants, enabling to build of a healthy immune system. While the pharmacologically active components of medicinal plants directly aid in fighting against viral infection, supplementary supplements combined with a healthy diet will assist to regulate the immune system and will prevent viral infection. In addition, some personal habits, like- regular physical exercise, intermittent fasting, and adequate sleep, had also been proven to aid the immune system in becoming an efficient one. Maintaining each of these will strengthen the immune system, allowing innate immunity to become a more defensive and active antagonistic mechanism against corona-virus infection. However, because dietary treatments take longer to produce beneficial effects in adaptive maturation, personalized nutrition cannot be expected to have an immediate impact on the global outbreak.

Depressive symptoms, but not anxiety, predict subsequent diagnosis of Coronavirus disease 19: a national cohort study

AIMS

Several diseases are linked to increased risk of Coronavirus disease 19 (COVID-19). Our aim was to investigate whether depressive and anxiety symptoms predict subsequent risk of COVID-19, as has been shown for other respiratory infections.

METHODS

We based our analysis on UK Biobank participants providing prospective data to estimate temporal association between depressive and anxiety symptoms and COVID-19. We estimated whether the magnitude of these symptoms predicts subsequent diagnosis of COVID-19 in this sample. Further, we evaluated whether depressive and anxiety symptoms predicted (i) being tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and (ii) COVID-19 in those tested.

RESULTS

Based on data from N = 135 102 participants, depressive symptoms (odds ratio (OR) = 1.052; 95% confidence interval (CI) 1.017-1.086; absolute case risk: (moderately) severe depression: 493 per 100 000 v. minimal depression: 231 per 100 000) but not anxiety (OR = 1.009; 95% CI 0.97-1.047) predicted COVID-19. While depressive symptoms but not anxiety predicted (i) being tested for SARS-CoV-2 (OR = 1.039; 95% CI 1.029-1.05 and OR = 0.99; 95% CI 0.978-1.002), (ii) neither predicted COVID-19 in those tested (OR = 1.015; 95% CI 0.981-1.05 and OR = 1.021; 95% CI 0.981-1.061). Results remained stable after adjusting for sociodemographic characteristics, multimorbidity and behavioural factors.

CONCLUSIONS

Depressive symptoms were associated with a higher risk of COVID-19 diagnosis, irrespective of multimorbidities. Potential underlying mechanisms to be elucidated include risk behaviour, symptom perception, healthcare use, testing likelihood, viral exposure, immune function and disease progress. Our findings highlight the relevance of mental processes in the context of COVID-19.

Assessing face masks in the environment by means of the DPSIR framework

The use of face masks outside the health care facility dates back a century ago. However, face masks use noticeably soared due to the COVID-19 (Coronavirus disease 2019) pandemic. As a result, an unprecedented influx of discarded face masks is ending up in the environment. This review paper delves into face masks in the environment using the DPSIR (driving forces, pressures, states, impacts, and responses) framework to simplify and communicate the environmental indicators. Firstly, the historical, and briefly the economic trajectory of face masks are discussed. Secondly, the main driving forces of face masks use with an emphasis on public health are explored. Then, the pressures exerted by efforts to fulfill the human needs (driving forces) are investigated. In turn, the state of the environment due to the influx of masks along with the impacts are examined. Furthermore, the upstream, and downstream societal responses to mitigate the environmental damages of the driving forces, pressures, states, and impacts are reviewed. In summary, it has been shown from this review that the COVID-19 pandemic has been causing a surge in face mask usage, which translates to face masks pollution in both terrestrial and aquatic environments. This implies proper usage and disposal of face masks is paramount to the quality of human health and the environment, respectively. Moreover, further research on eco-friendly face masks is indispensable to mitigating the environmental damages occurring due to the mass use of surgical masks worldwide.

Nanoprotection from SARS-COV-2: would nanotechnology help in Personal Protection Equipment (PPE) to control the transmission of COVID-19?

The coronavirus disease 2019 (COVID-19) has caused a worldwide outbreak. The severe acute respiratory syndrome coronavirus 2 virus can be transmitted human-to-human through droplets and close contact where personal protective equipment (PPE) is imperative to protect the individuals. The advancement of nanotechnology with significant nanosized properties can confer a higher form of protection. Incorporation of nanotechnology into facemasks can exhibit antiviral properties. Nanocoating on surfaces can achieve self-disinfecting purposes and be applied in highly populated places. Moreover, nano-based hand sanitizers can confer better sterilizing efficacies with low skin irritation as compared to alcohol-based hand sanitizers. The present review discusses the incorporation of nanotechnology into nano-based materials and coatings in facemasks, self-surface disinfectants and hand sanitizers, in the hope to contribute to the current understanding of PPE to combat COVID-19.

Analysis of the Effects of a Texas State-Wide Mask Mandate (Executive Order GA-29) on Case Load, Hospitalizations, and Mortality

OBJECTIVES

The coronavirus disease 2019 (COVID-19) pandemic has resulted in unprecedented hospitalizations, ventilator use, and deaths. Because of concerns for resource utilization and surges in hospital capacity use, Texas Executive Order GA-29 required statewide mask wear beginning July 3, 2020. Our objective was to compare COVID-19 case load, hospital bed use, and deaths before and after implementation of this mask order.

METHODS

This was a retrospective observational study using publicly reported statewide data to perform a mixed-methods interrupted time series analysis. We compared outcomes before and after the statewide mask wear mandate per Executive Order GA-29. The preorder period was from June 19 to July 2, 2020. The postorder period was July 17 to September 17, 2020. Outcomes included daily COVID-19 case load, hospitalizations, and mortality.

RESULTS

The daily case load before the mask order per 100,000 individuals was 187.5 (95% confidence interval [CI] 157.0-217.0) versus 200.7 (95% CI 179.8-221.6) after GA-29. The number of daily hospitalized patients with COVID-19 was 171.4 (95% CI 143.8-199.0) before GA-29 versus 225.1 (95% CI 202.9-247.3) after. Daily mortality was 2.4 (95% CI 1.9-2.9) before GA-29 versus 5.2 (95% CI 4.6-5.8). There was no material impact on our results after controlling for economic activity.

CONCLUSIONS

In both adjusted and unadjusted analyses, we were unable to detect a reduction in case load, hospitalization rates, or mortality associated with the implementation of an executive order requiring a statewide mask order. These results suggest that during a period of rapid virus spread, additional public health measures may be necessary to mitigate transmission at the population level.

Public Transport COVID-19-Safe: New Barriers and Policies to Implement Effective Countermeasures under User’s Safety Perspective

The COVID-19 emergency forced cities worldwide to adopt measures to restrict travel and implement new urban public transport solutions. The discontinuity and reduction of services made users recognize public transport systems as contamination vectors, and the decrease in the number of passengers can already be seen in several places. Thus, this study assessed the impact of the COVID-19 pandemic on urban public transport. We used hybrid choice models (HCMs) to identify the new barriers and potential solutions to increase users’ perception of safety, considering preexistent perceptions of public transportation quality. We used data from an online survey with users of public transportation in a metropolitan area in southern Brazil. We identified that the main barriers to using public transport during virus transmission are related to the system characteristics that force constant interaction with other passengers. Crowded vehicles and crowded stops/stations were considered the most detrimental factor in feeling safe while riding in the COVID-19 outbreak. Countermeasures that reduce the contact with other passengers—directly (limit the number of passengers in vehicles) or indirectly (operate with large vehicles)—and increase offers are possible solutions to make users feel safe while riding. The results of this research might help reduce passenger evasion and migration to more unsustainable transport modes.

Power Muirhead mean in spherical normal fuzzy environment and its applications to multi-attribute decision-making: Spherical normal fuzzy power Muirhead mean

This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute decision-making problems. Spherical normal fuzzy sets better characterize real-world problems. On the other hand, the Muirhead mean (MM) considers the relationship between any number of criteria of the operator. Power aggregation (PA) reduces the negative impact of excessively high or excessively low values on aggregation results. This article proposes two new aggregation methods: spherical normal fuzzy power Muirhead mean (SNoFPMM) and spherical normal fuzzy weighted power Muirhead mean (SNoFWPMM). Also, these operators produce effective results in terms of their suitability to real-world problems and the relationship between their criteria. The proposed operators are applied to solve the problems in choosing the ideal mask for the COVID-19 outbreak and investment company selection. However, uncertainty about the effects of COVID-19 complicates the decision-making process. Spherical normal fuzzy sets can handle both real-world problems and situations involving uncertainty. Our approach has been compared with other methods in the literature. The superior aspects and applicability of our strategy are also mentioned.

The evolution of the human healthcare system and implications for understanding our responses to COVID-19

The COVID-19 pandemic has revealed an urgent need for a comprehensive, multidisciplinary understanding of how healthcare systems respond successfully to infectious pathogens-and how they fail. This study contributes a novel perspective that focuses on the selective pressures that shape healthcare systems over evolutionary time. We use a comparative approach to trace the evolution of care-giving and disease control behaviours across species and then map their integration into the contemporary human healthcare system. Self-care and pro-health environmental modification are ubiquitous across animals, while derived behaviours like care for kin, for strangers, and group-level organizational responses have evolved via different selection pressures. We then apply this framework to our behavioural responses to COVID-19 and demonstrate that three types of conflicts are occurring: (1) conflicting selection pressures on individuals, (2) evolutionary mismatches between the context in which our healthcare behaviours evolved and our globalized world of today and (3) evolutionary displacements in which older forms of care are currently dispensed through more derived forms. We discuss the significance of understanding how healthcare systems evolve and change for thinking about the role of healthcare systems in society during and after the time of COVID-19-and for us as a species as we continue to face selection from infectious diseases.

The Influence of the COVID-19 Pandemic on Orthodontic Treatments: A Survey Analysis

Coronavirus disease 2019 represents the pandemic of the 21st century that has negatively affected the lives of the whole of humanity. For many months, the only weapons to fight against this infection were protective masks and social isolation. During recent months, fear of the virus has led people to avoid crowded environments and events, and to reduce medical checks, limiting them only to emergencies. Outpatient clinics, doctors’ offices, and all closed-in environments were required to limit the patients’ access. Nowadays, the presence of specific protocols around the world, and the extended vaccination campaign, have allowed a reduction of many restrictions. Unfortunately, the virus is still widespread, and dental practice and dental treatments suffer the consequences. Dental therapies in general, and in particular orthodontics, are not considered lifesaving. Due to this, orthodontists, in this historical time, must find solutions for motivating patients to start or continue therapies, while providing a safe way for them to do so. There are orthodontists who have developed, during this period, different ways to help them in treating and communicating with patients. Aim: The aim of this study is to assess the influence of the pandemic on the choice to start orthodontic treatment, oral health care, and the importance placed on the appearance of dental occlusions. Materials and Methods: This study is a survey analysis of 159 people, which was posted in Facebook groups of adult orthodontic patients. The timestamps and answers of responses were analyzed to avoid duplicated or interrupted questionnaires. Conclusions: This study found that the current health emergency has not reduced the demand for orthodontic care, while some patients’ behaviors are changing in relation to oral hygiene and the importance that they attribute to dental health. It seems that dentists’ availability plays a key role in this period of sanitary emergency.

Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms

This study develops a novel mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to address the locational, supply, production, distribution, collection, quarantine, recycling, reuse, and disposal decisions within a multi-period multi-echelon multi-product supply chain. Additionally, sustainable development is studied in terms of minimizing the total cost, total pollution and total human risk at the same time. Since the CLSCN design is an NP-hard problem, Multi-Objective Grey Wolf Optimization (MOGWO) algorithm and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are implemented to solve the proposed model and to find Pareto optimal solutions. Since Meta-heuristic algorithms are sensitive to their input parameters, the Taguchi design method is applied to tune and control the parameters. Then, a comparison is performed using four assessment metrics including Max-Spread, Spread of Non-Dominance Solution (SNS), Number of Pareto Solutions (NPS), and Mean Ideal Distance (MID). Additionally, a statistical test is employed to evaluate the quality of the obtained Pareto frontier by the presented algorithms. The obtained results reveal that the MOGWO algorithm is more reliable to tackle the problem such that it is about 25% superior to NSGA-II in terms of the dispersion of Pareto solutions and about 2% superior in terms of the solution quality. To validate the proposed mathematical model and testing its applicability, a real case study in Tehran/Iran is investigated as well as a set of sensitivity analyses on important parameters. Finally, the practical implications are discussed and useful managerial insights are given.

Public concerns and burdens associated with face mask-wearing: Lessons learned from the COVID-19 pandemic

This study attempts to identify and categorize the key concerns of wearing masks. An online survey was used to collect data from 2746 people in the United States. Results show that the mask-wearing concerns can be classified into three categories; discomfort barriers (physical discomfort and communication discomfort), external factors (overstated news about coronavirus threat, political beliefs, and absence of mask-wearing culture), and usability issues (lack of effectiveness, unnecessariness of masks in certain cases, and mask maintenance issues). The findings demonstrate that all mentioned concerns strongly shape people's attitudes toward wearing masks, except for political beliefs and lack of effectiveness.

Change in Pediatric Health Care Spending and Drug Utilization during the COVID-19 Pandemic

Objective: To evaluate how the restrictive measures implemented during the SARS-CoV-2 pandemic have influenced the incidence of the most common children’s diseases and the consumption of medications in 2020 compared to 2019. Methods: We involved all family pediatricians of the local health authority of Latina, from which we requested data of monthly visits in 2019 and 2020 for six common diseases disseminated through droplets and contact, and the territorial and integrative pharmaceutical unit of the area, from which we requested data of the net expenditure regarding the most commonly used drugs at pediatric age. Results: There was significant reduction in the incidence of the evaluated diseases and in the consumption of investigated drugs between 2019 and 2020 in the months when the restrictive measures were in place, with an attenuation of this effect during the months of the gradual loosening of those measures. Conclusion: Nonpharmaceutical intervention measures have caused changes in the diffusion of common pediatric diseases. We believe that the implementation of a reasonable containment strategy, even outside of the pandemic, could positively influence the epidemiology of infectious and allergic diseases in children, and healthcare system spending.