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International Journal of Environmental... Dec 2021South Korea's social distancing policies on public transportation only involve mandatory wearing of masks and prohibition of food intake, similar to policies on other...
South Korea's social distancing policies on public transportation only involve mandatory wearing of masks and prohibition of food intake, similar to policies on other indoor spaces. This is not because public transportation is safe from coronavirus disease 2019 (COVID-19), but because no suitable policies based on accurate data have been implemented. To relieve fears regarding contracting COVID-19 infection through public transportation, the government should provide accurate information and take appropriate measures to lower the risk of COVID-19. This study aimed to develop a model for determining the risk of COVID-19 infection on public transportation considering exposure time, mask efficiency, ventilation rate, and distance. The risk of COVID-19 infection on public transportation was estimated, and the effectiveness of measures to reduce the risk was assessed. The correlation between the risk of infection and various factors was identified through sensitivity analysis of major factors. The analysis shows that, in addition to the general indoor space social distancing policy, ventilation system installation, passenger number reduction in a vehicle, and seat distribution strategies were effective. Based on these results, the government should provide accurate guidelines and implement appropriate policies.
Topics: COVID-19; Government; Humans; Masks; SARS-CoV-2; Transportation
PubMed: 34886516
DOI: 10.3390/ijerph182312790 -
Social Science & Medicine (1982) Jan 2021We define prediction bias as the systematic error arising from an incorrect prediction of the number of positive COVID cases x-weeks hence when presented with y-weeks of...
OBJECTIVE
We define prediction bias as the systematic error arising from an incorrect prediction of the number of positive COVID cases x-weeks hence when presented with y-weeks of prior, actual data on the same. Our objective is to investigate the importance of an exponential-growth prediction bias (EGPB) in understanding why the COVID-19 outbreak has exploded. To that end, our goal is to document EGPB in the comprehension of disease data, study how it evolves as the epidemic progresses, and connect it with compliance of personal safety guidelines such as the use of face coverings and social distancing. We also investigate whether a behavioral nudge, cost less to implement, can significantly reduce EGPB.
RATIONALE
The scientific basis for our inquiry is the received wisdom that infectious disease spread, especially in the initial stages, follows an exponential function meaning few positive cases can explode into a widespread pandemic if the disease is sufficiently transmittable. If people suffer from EGPB, they will likely make incorrect judgments about their infection risk, which in turn, may lead to reduced compliance of safety protocols.
METHOD
To collect data on prediction bias, we ran an incentivized, experiment on a global, online platform with participation from people in forty-three countries, each at different stages of progression of COVID-19. We also constructed several indices of compliance by surveying participants about their frequency of hand-washing and use of sanitizers and masks; their willingness to pay for masks; their view about the social appropriateness of others' behavior; and their like/dislike of government responses. The prediction data was used to construct several measures of EGPB. Our experimental design permits us to identify the root of under-prediction as EGPB arising from the general tendency to underestimate the speed at which exponential processes unfold.
RESULTS
Respondents make predictions about the path of the disease using a model that is substantially less convex than the actual data generating process. This creates significant EGPB, which, in turn, is significantly and negatively associated with non-compliance with safety measures. The bias is significantly higher for respondents from countries at a later stage relative to those at an early stage of disease progression. A simple behavioral nudge that shows prior data in terms of raw numbers, as opposed to a graph, causally reduces EGPB.
CONCLUSION
Behavioral biases concerning the comprehension of disease data are quantitatively important, and act as severe impediments to effective policy action against the spread of COVID-19. Clear communication of future infection risk via raw numbers could increase the accuracy of risk perception, in turn, facilitating compliance with suggested protective behaviors.
Topics: Adult; Bias; COVID-19; Female; Forecasting; Guideline Adherence; Guidelines as Topic; Hand Disinfection; Hand Sanitizers; Humans; Male; Masks; Public Health; Surveys and Questionnaires
PubMed: 33130402
DOI: 10.1016/j.socscimed.2020.113473 -
International Journal of Environmental... Feb 2022Mask usage is one of the most important precautions to limit the spread of COVID-19. Therefore, hygiene rules enforce the correct use of face coverings. Automated mask...
Mask usage is one of the most important precautions to limit the spread of COVID-19. Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage classification might be used to improve compliance monitoring. This study deals with the problem of inappropriate mask use. To address that problem, 2075 face mask usage images were collected. The individual images were labeled as either mask, no masked, or improper mask. Based on these labels, the following three cases were created: Case 1: mask versus no mask versus improper mask, Case 2: mask versus no mask + improper mask, and Case 3: mask versus no mask. This data was used to train and test a hybrid deep feature-based masked face classification model. The presented method comprises of three primary stages: (i) pre-trained ResNet101 and DenseNet201 were used as feature generators; each of these generators extracted 1000 features from an image; (ii) the most discriminative features were selected using an improved RelieF selector; and (iii) the chosen features were used to train and test a support vector machine classifier. That resulting model attained 95.95%, 97.49%, and 100.0% classification accuracy rates on Case 1, Case 2, and Case 3, respectively. Having achieved these high accuracy values indicates that the proposed model is fit for a practical trial to detect appropriate face mask use in real time.
Topics: COVID-19; Humans; Masks; SARS-CoV-2; Support Vector Machine
PubMed: 35206124
DOI: 10.3390/ijerph19041939 -
Communications Biology Sep 2022Wearing a face mask has become essential to contain the spread of COVID-19 and has become mandatory when collecting fMRI data at most research institutions. Here, we...
Wearing a face mask has become essential to contain the spread of COVID-19 and has become mandatory when collecting fMRI data at most research institutions. Here, we investigate the effects of wearing a surgical mask on fMRI data in n = 37 healthy participants. Activations during finger tapping, emotional face matching, working memory tasks, and rest were examined. Preliminary fMRI analyses show that despite the different mask states, resting-state signals and task activations were relatively similar. Resting-state functional connectivity showed negligible attenuation patterns in mask-on compared with mask-off. Task-based ROI analysis also demonstrated no significant difference between the two mask states under each contrast investigated. Notwithstanding the overall insignificant effects, these results indicate that wearing a face mask during fMRI has little to no significant effect on resting-state and task activations.
Topics: Brain; COVID-19; Humans; Magnetic Resonance Imaging; Masks; Rest
PubMed: 36130993
DOI: 10.1038/s42003-022-03908-6 -
Journal of Voice : Official Journal of... Nov 2023The global health pandemic caused by the SARS-coronavirus 2 (COVID-19) has led to the adoption of facemasks as a necessary safety precaution. Depending on the level of...
AIM
The global health pandemic caused by the SARS-coronavirus 2 (COVID-19) has led to the adoption of facemasks as a necessary safety precaution. Depending on the level of risk for exposure to the virus, the facemasks that are used can vary. The aim of this study was to examine the effect of different types of facemasks, typically used by healthcare professionals and the public during the COVID-19 pandemic, on measures of voice.
METHODS
Nineteen adults (ten females, nine males) with a normal voice quality completed sustained vowel tasks. All tasks were performed for each of the six mask conditions: no mask, cloth mask, surgical mask, KN95 mask and, surgical mask over a KN95 mask with and without a face shield. Intensity measurements were obtained at a 1ft and 6ft distance from the speaker with sound level meters. Tasks were recorded with a 1ft mouth-to-microphone distance. Acoustic variables of interest were fundamental frequency (F0), and formant frequencies (F1, F2) for /a/ and /i/ and smoothed cepstral peak prominence (CPPs) for /a/.
RESULTS
Data were analyzed to compare differences between sex and mask types. There was statistical significance between males and females for intensity measures and all acoustic variables except F2 for /a/ and F1 for /i/. Few pairwise comparisons between masks reached significance even though main effects for mask type were observed. These are further discussed in the article.
CONCLUSION
The masks tested in this study did not have a significant impact on intensity, fundamental frequency, CPPs, first or second formant frequency compared to voice output without a mask. Use of a face shield seemed to affect intensity and CPPs to some extent. Implications of these findings are discussed further in the article.
Topics: Adult; Male; Female; Humans; COVID-19; Pandemics; Speech Acoustics; Masks; Acoustics
PubMed: 34261582
DOI: 10.1016/j.jvoice.2021.06.015 -
Annals of Saudi Medicine 2022Expelled droplet count is an important factor when investigating the efficacy of face coverings since higher droplet counts indicate an increased possibility of disease...
BACKGROUND
Expelled droplet count is an important factor when investigating the efficacy of face coverings since higher droplet counts indicate an increased possibility of disease transmission for airborne viruses such as COVID-19. While there is some published work relating facemask style to expelled droplet count during speech, there is no published data regarding the effectiveness of traditional Islamic face coverings such as the ghutra and niqab commonly worn by men and women in the Arabian Peninsula.
OBJECTIVES
Measure the effectiveness of worn traditional Islamic face coverings in reducing expelled droplet count during speech.
DESIGN
Experimental study SETTING: Biomedical engineering department at a university in Saudi Arabia.
MATERIALS AND METHODS
Using a previously described low-cost method for quantifying expelled droplets, this study compares droplet counts through commonly worn traditional Islamic face coverings and conventional three-ply surgical masks worn during speech. The device records scattered light from droplets (>5 μm diameter) as they pass through a laser light sheet (520 nm), and then video processing yields droplet counts.
MAIN OUTCOME MEASURES
Percent reduction in the number of expelled droplets passing through face coverings during speech compared to no face covering MAIN OUTCOME MEASURES: 9-15 recorded samples per face covering (n=3) plus no face covering control (n=1) in three females.
RESULTS
The average percent reduction for each mask type compared to no mask trial was 76% for the cotton ghutra, 93% for the niqab, and 95% for the surgical mask. The niqab and ghutra had relatively high variability in droplet reduction.
CONCLUSIONS
Traditional Islamic face coverings block some expelled droplets, but at lower rates than surgical masks. High standard deviations within facemask groups with high variability in fit (i.e., the cotton ghutra) further denote the importance of fit in face covering effectiveness. Some protection from airborne viruses is likely with traditional Islamic face coverings compared to no mask, but the amount of protection depends on the fit of the face covering.
LIMITATIONS
Detectable droplets limited to particles greater than 5 μm diameter with forward expulsion direction.
CONFLICT OF INTEREST
None.
Topics: COVID-19; Female; Humans; Male; Masks; Saudi Arabia
PubMed: 36252143
DOI: 10.5144/0256-4947.2022.299 -
PloS One 2021Coronavirus disease 2019 (COVID-19) is an infectious disease of humans caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was...
Coronavirus disease 2019 (COVID-19) is an infectious disease of humans caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was identified in China in December 2019 the disease has spread worldwide, leading to an ongoing pandemic. In this article, we present an agent-based model of COVID-19 in Luxembourg, and use it to estimate the impact, on cases and deaths, of interventions including testing, contact tracing, lockdown, curfew and vaccination. Our model is based on collation, with agents performing activities and moving between locations accordingly. The model is highly heterogeneous, featuring spatial clustering, over 2000 behavioural types and a 10 minute time resolution. The model is validated against COVID-19 clinical monitoring data collected in Luxembourg in 2020. Our model predicts far fewer cases and deaths than the equivalent equation-based SEIR model. In particular, with R0 = 2.45, the SEIR model infects 87% of the resident population while our agent-based model infects only around 23% of the resident population. Our simulations suggest that testing and contract tracing reduce cases substantially, but are less effective at reducing deaths. Lockdowns are very effective although costly, while the impact of an 11pm-6am curfew is relatively small. When vaccinating against a future outbreak, our results suggest that herd immunity can be achieved at relatively low coverage, with substantial levels of protection achieved with only 30% of the population fully immune. When vaccinating in the midst of an outbreak, the challenge is more difficult. In this context, we investigate the impact of vaccine efficacy, capacity, hesitancy and strategy. We conclude that, short of a permanent lockdown, vaccination is by far the most effective way to suppress and ultimately control the spread of COVID-19.
Topics: Adolescent; Adult; Aged; COVID-19; Child; Child, Preschool; Contact Tracing; Humans; Immunity, Herd; Infant; Infant, Newborn; Luxembourg; Masks; Middle Aged; Pandemics; Quarantine; Vaccination; Young Adult
PubMed: 34919576
DOI: 10.1371/journal.pone.0261330 -
Strahlentherapie Und Onkologie : Organ... Nov 2022For stereotactic radiation therapy of intracranial malignancies, a patient's head needs to be immobilized with high accuracy. Fixation devices such as invasive...
PURPOSE
For stereotactic radiation therapy of intracranial malignancies, a patient's head needs to be immobilized with high accuracy. Fixation devices such as invasive stereotactic head frames or non-invasive thermoplastic mask systems are often used. However, especially stereotactic high-precision masks often cause discomfort for patients due to a long manufacturing time during which the patient is required to lie still and because the face is covered, including the mouth, nose, eyes, and ears. To avoid these issues, the target was to develop a non-invasive 3D-printable mask system with at least the accuracy of the high-precision masks, for producing masks which can be manufactured in the absence of patients and which allow the eyes, mouth, and nose to be uncovered during therapy.
METHODS
For four volunteers, a personalized 3D-printed mask based on magnetic resonance imaging (MRI) data was designed and manufactured using fused filament fabrication (FFF). Additionally, for each of the volunteers, a conventional thermoplastic stereotactic high-precision mask from Brainlab AG (Munich, Germany) was fabricated. The intra-fractional fixation accuracy for each mask and volunteer was evaluated using the motion-correction algorithm of functional MRI measurements with and without guided motion.
RESULTS
The average values for the translations and rotations of the volunteers' heads lie in the range between ±1 mm and ±1° for both masks. Interestingly, the standard deviations and the relative and absolute 3D displacements are lower for the 3D-printed masks compared to the Brainlab masks.
CONCLUSION
It could be shown that the intra-fractional fixation accuracy of the 3D-printed masks was higher than for the conventional stereotactic high-precision masks.
Topics: Humans; Masks; Immobilization; Radiosurgery; Imaging, Three-Dimensional; Printing, Three-Dimensional
PubMed: 35697775
DOI: 10.1007/s00066-022-01963-w -
JMIR Public Health and Surveillance Feb 2021Over the past decade, there has been an increasing secular trend in the number of studies on social media and health.
BACKGROUND
Over the past decade, there has been an increasing secular trend in the number of studies on social media and health.
OBJECTIVE
The purpose of this cross-sectional study was to examine the content and characteristics of TikTok videos that are related to an important aspect of community mitigation-the use of masks as a method for interrupting the transmission of SARS-CoV-2.
METHODS
In total, 100 trending videos with the hashtag #WearAMask (ie, a campaign on TikTok), along with 32 videos that were posted by the World Health Organization (WHO) and involved masks in any way (ie, all related WHO videos at the time of this study), were included in our sample. We collected the metadata of each post, and created content categories based on fact sheets that were provided by the WHO and the US Centers for Disease Control and Prevention. We used these fact sheets to code the characteristics of mask use.
RESULTS
Videos that were posted on TikTok and had the hashtag #WearAMask garnered almost 500 million views, and videos that were posted by the WHO garnered almost 57 million views. Although the ratio of the number of trending #WearAMask videos to the number of WHO videos was around 3:1, the #WearAMask videos received almost 10 times as many cumulative views as the WHO videos. In total, 68% (68/100) of the trending #WearAMask videos involved humor and garnered over 355 million cumulative views. However, only 9% (3/32) of the WHO videos involved humor. Furthermore, 27% (27/100) of the trending #WearAMask videos involved dance and garnered over 130 million cumulative views, whereas none of the WHO videos involved dance.
CONCLUSIONS
This study is one of the first to describe how TikTok is being used to mitigate the community spread of COVID-19 by promoting mask use. Due to the platform's incredible reach, TikTok has great potential in conveying important public health messages to various segments of the population.
Topics: COVID-19; Cross-Sectional Studies; Health Communication; Health Promotion; Humans; Masks; Public Health; Social Media; Video Recording
PubMed: 33523823
DOI: 10.2196/26392 -
JPMA. the Journal of the Pakistan... Feb 2021To determine the predictive tests for difficulty in laryngeal mask airway insertion, and to observe the success rate of insertion in the first attempt. (Observational Study)
Observational Study
OBJECTIVE
To determine the predictive tests for difficulty in laryngeal mask airway insertion, and to observe the success rate of insertion in the first attempt.
METHODS
The prospective, observational study was conducted at Bülent Ecevit University Hospital, Turkey, from September 2013 to 2014, and comprised patients of American Society of Anaesthesiologists grade I to IV adult patients who underwent elective surgery under general anaesthesia. The supraglottic airway device was randomly selected for each patient, and the laryngeal mask airway was used as per the decision of an anaesthesiologist who was not part of the study. Patients were divided into three groups according to laryngeal mask airway types as classic group A, i-gel group B and suprema group C. These were inserted by anaesthesia residents with the same seniority when bispectral index value reached 40-60. Data was noted and analysed using SPSS 24.
RESULTS
Of the 120 patients, 40(33.33%) were in cLMA, 38(31.66%) in i-gel, and 42(35%) in sLMA. There was no significant difference among the groups in terms of demographics (p>0.05). Apart from the height/thyromental distance ratio (p=0.046), no predictive test was statistically significant in identifying the difficulty in laryngeal mask airway insertion (p>0.05). There was no significant difference involving number of attempts, difficulty in insertion, and patient response (p>0.05). Placement success rate at first attempt was similar among the groups (p>0.05).
CONCLUSIONS
Higher height/thyromental distance ratio values were associated with difficulty in laryngeal mask airway insertion, and first-attempt success rate was similar in all the three laryngeal mask airway types.
Topics: Adult; Anesthesia, General; Elective Surgical Procedures; Humans; Laryngeal Masks; Prospective Studies; Turkey
PubMed: 33819223
DOI: 10.47391/JPMA.397