As of January 3, 2021. it was found that around 65 percent of survey respondents in the United Kingdom had been wearing a face mask outside to protect themselves and others from the coronavirus (COVID-19). The share of people wearing a mask in the UK has increased significantly since March, when only eight percent of respondents were always wearing a face mask outside, while according to the latest survey wave eleven percent reported never wearing a mask. Across the four countries of the UK, there hads been differing timings of regulations to make the wearing of face masks mandatory in public places. Compared to the UK, some other European countries introduced the wearing of face masks earlier into the pandemic.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

As of July 13, 2022, 84 percent of Malaysian respondents stated that they were wearing face masks when in public places during the COVID-19 outbreak, up from 55 percent on Feb 24, 2020. Malaysia has vaccinated more than 80 percent of its adult population. However, due to the highly infectious type of Omicron, the country is still expecting an increase in the number of confirmed daily cases of COVID-19 infections.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of July 13, 2022, 84 percent of Singaporean respondents stated that they were wearing face masks when in public places during the COVID-19 outbreak, up from 24 percent on Feb 21, 2020. Singapore has since started to open up after imposing lockdown measures to control the spread of COVID-19.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This dataset was used for the paper "Face mask use during the COVID-19 pandemic: how risk perception, experience with COVID-19, and attitude towards government interact with country-wide policy stringency" forthcoming in BMC Public Health

Abstract Background: During the 2020 COVID-19 pandemic, governments imposed numerous regulations to protect public health, particularly the (mandatory) use of face masks. However, the appropriateness and effectiveness of face mask regulations have been widely discussed, as is apparent from the divergent measures taken across and within countries over time, including mandating, recommending, and discouraging their use. In this study, we analyse how country-level policy stringency and individual-level predictors associate with face mask use during the early stages of the global COVID-19 pandemic. Method: First, we study how (self and other-related) risk perception, (direct and indirect) experience with COVID-19, attitude towards government and policy stringency shape face mask use. Second, we study whether there is an interaction between policy stringency and the individual-level variables. We conduct multilevel analyses exploiting variation in face mask regulations across countries and using data from approximately 7,000 students collected in the beginning of the pandemic (weeks 17 through 19 2020) Results: We show that policy stringency is strongly positively associated with face mask use. We find a positive association between self-related risk perception and mask use, but no relationship of mask use with experience with COVID-19 and attitudes towards government. However, in the interaction analyses, we find that government trust and perceived clarity of communication moderate the link between stringency and mask use, with positive government perceptions relating to higher use in countries with regulations and to lower use in countries without regulations. Conclusions: We highlight that those countries that aim for widespread use of face masks should set strict measures, stress self-related risks of COVID-19, and use clear communication.

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance. Data were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through July 20, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Of 2,197 survey respondents in the U.S., around 50 percent said they had a positive opinion of people who choose to wear a face mask during the COVID-19 pandemic. This statistic shows the percentage of U.S. adults who had select opinions about people who choose to wear a face mask in public during the COVID-19 pandemic, as of June 12, 2020.

AbstractThis study reports a comprehensive empirical investigation of the nature and correlates of anti-mask attitudes during the COVID-19 pandemic. Accumulating evidence underscores the importance of facemasks, as worn by the general public, in limiting the spread of infection. Accordingly, mask wearing has become increasingly mandatory in public places such as stores and on public transit. Although the public has been generally adherent to mask wearing, a small but vocal group of individuals refuse to wear masks. Anti-mask protest rallies have occurred in many places throughout the world, sometimes erupting violently. Few empirical studies have examined the relationship between anti-mask attitudes and mask non-adherence and little is known about how such attitudes relate to one another or other factors (e.g., non-adherence to social distancing, anti-vaccination attitudes). To investigate these issues, the present study surveyed 2,078 adults from the US and Canada. Consistent with other surveys, we found that most (84%) people wore masks because of COVID-19. The 16% who did not wear masks scored higher on most measures of negative attitudes towards masks. Network analyses indicated that negative attitudes about masks formed an intercorrelated network, with the central nodes in the network being (a) beliefs that masks are ineffective in preventing COVID-19, and (b) psychological reactance (PR; i.e., an aversion to being forced to wear masks). These central nodes served as links, connecting the network of anti-masks attitudes to negative attitudes toward SARSCoV2 vaccination, beliefs that the threat of COVID-19 has been exaggerated, disregard for social distancing, and political conservatism. Findings regarding PR are important because, theoretically, PR is likely to strengthen other anti-masks attitudes (e.g., beliefs that masks are ineffective) because people with strong PR react with anger and counter-arguments when their beliefs are challenged, thereby leading to a strengthening of their anti-mask beliefs. Implications for improving mask adherence are discussed., MethodsSPSS file.

These data detail mask wearing behaviour in the COVID-19 pandemic in the UK. This includes when and where face coverings are worn, participants’ attitudes towards them and how media messaging impacts these attitudes and behaviours. In total, we surveyed 19,763 adults across the UK over a period of 10 days, regarding their face covering behaviours.

This study is part of ‘Between environmental concerns and compliance: How does media messaging affect motivation and choice between disposable versus reusable facemasks?’ (AH/W003813/1), funded by the Arts and Humanities Research Council. Some of the questions used in this survey were repeated in another survey later in the COVID-19 pandemic (data entitled: UK mask wearing behaviour and attitudes in the COVID-19 pandemic - Survey 2)

Facemasks are a crucial part of UK strategy to contain and mitigate transmission of COVID-19. While disposable facemasks present a convenient, low-cost solution, they carry greater associated environmental costs than reusable masks which are less likely to be discarded but require higher financial outlay. Although clearly central, the influence of media messaging - positive or negative - in determining people's mask-wearing choices is unknown, despite the considerable medical and environmental implications. This project will explore the complex factors underpinning consumer choice of masks and the adoption or rejection of facemask wearing, including responsible disposal of masks, by using multi-disciplinary methods to evaluate constructive and destructive messaging around (a) mask-wearing and motivation, and (b) sustainable choices within the facemask wearing arena. There are three components: 1. Assessing the influence and effectiveness of media messaging around the wearing of facemasks to date. 2. Examining the ways in which more effective media messaging can be developed to respond to rising rates of infection as well as potential long-term facemask use in the post-Covid era. 3. Examining how the wearing of facemasks can be encouraged in an environmentally friendly and sustainable manner to prevent short, medium and long-term collateral environmental harm, in alignment with the UK's obligations under international human rights and environmental laws. The overarching aim of this twelve-month project is, then, to better understand current facemask wearing behaviour as influenced by the media to improve uptake and enhance the effectiveness of media campaigns for the future, specifically considering environmental issues.

The data set includes data about use of face masks by public transport passengers and workers during COVID-19 andemic; motivating factors for public transport passengers to wear a face mask; subjective assessment of adverse reactions and discomfort to wearing a face mask

The data collected in this dataset are narratives exploring public policies, attitudes, individual behaviors, and the collective experiences of the affected communities regarding face mask wearing at the onset of the COVID-19 pandemic. The narratives were written by the members of the interdisciplinary research network Navigating Knowledge Landscapes (NKL; http://knowledge-landscapes.hiim.hr/). The members of the network are scholars belonging to different research disciplines and the aim of the network is to explore and discuss the individual aspects of citizens’ navigation of (new) knowledge in the digital society. An invitation to participate in this study was sent to 97 members of the network on May 11, 2020, the written responses in the form of narratives were collected until May 26, 2020. In total, 29 scholars from 22 countries responded by providing their narratives, all of them collected in this dataset. The authors belong to 9 different academic disciplines with majority of them having background in Life Sciences, Sociology, Philosophy and Medicine. The authors described in their narratives the use of face masks in their countries according to their subjective point of view, and/or how people from their social environment perceive it. The participants were asked to answer the following questions in their narratives: • Part 1: What are the rules adopted in your country about face mask wearing? What would be the overall approach for use of the face masks in your community (government instructions, availability, the citizen compliance)? • Part 2: What is your individual/personal attitude and practice in relation to face masks? If applicable, start with good practice and end with what you consider to be mistakes. • Part 3: How do you judge the behavior of people you encounter? Face masks (or no face masks) and interpersonal interactions. Again, start with positive and end with negative. • Part 4 (optional): free to say whatever you think is important to the practices of your community in relation to face masks. Although standard questions were asked, we let scholars to answer them in open-ended text. No corrections or modifications were applied to the narratives, including no proofreading or grammatical checks. The authors agreed that their narratives can be published under their full name and affiliation, and the resulting collection used for research purposes. Ethical approval for this study was obtained from The University of Edinburgh, Scotland, UK and the University of Zagreb, Faculty of Croatian Studies, Croatia.

During the present time, COVID-19 situation is the topmost priority in our life. We are introducing a new dataset named Covid Face-Mask Monitoring Dataset which is based on Bangladesh perspective. We have a main concern to detect people who are using masks or not in the street. Furthermore, few people are not wearing masks properly which is harmful for other people and we have the intention to detect them also. Our proposed dataset contains 6,550 images and those images collected from the walking street, bus stop, street tea stall, foot-over bridge and so on. Among the full dataset, we selected 5,750 images for training purposes and 800 images for validation purposes. Our selected dimension is 1080 × 720 pixels for entire dataset. The percentage of validation data from the full dataset is almost 12.20%. We used a personal cell phone camera, DSLR for collecting frames and adding them into our final dataset. We have also planned to collect images from the mentioned place using an action camera or CCTV surveillance camera. But, from Bangladesh perspective it is not easy to collect clear and relevant data for research. To extend, CCTV surveillance cameras are mostly used in the university, shopping complex, hospital, school, college where using a mask is mandatory. But our goal of research is different. In addition, we want to mention that in our proposed dataset there are three classes which are 1. Mask, 2. No_mask, 3. Mask_not_in_position.

Study Objective: Facemask use is associated with reduced transmission of SARS-CoV-2. Most surveys assessing perceptions and practices of mask use miss the most vulnerable racial, ethnic, and socio-economic populations. These same populations have suffered disproportionate impacts from the pandemic. The purpose of this study was to assess beliefs, access, and practices of mask wearing across 15 urban emergency department (ED) populations. Methods: This was a secondary analysis of a cross-sectional study of ED patients from December 2020 to March 2021 at 15 geographically diverse, safety net EDs across the US. The primary outcome was frequency of mask use outside the home and around others. Other outcome measures included having enough masks and difficulty obtaining them. Results: Of 2,575 patients approached, 2,301 (89%) agreed to participate; nine had missing data pertaining to the primary outcome, leaving 2,292 included in the final analysis. A total of 79% of...

BackgroundCOVID-19 posed a major threat to countries around the world, but many nations in sub-Saharan Africa avoided large-scale outbreaks. In Uganda, the government first enacted strict lockdowns but later focused on public health policies like masking and distancing. The government also embarked on an ambitious campaign to deliver a free face mask to all Ugandan citizens (approx. 30 million masks). We test whether mask distribution, and public education and encouragement of mask use by community health volunteers, affected mask behavior.MethodsWe collected data about mask behavior before and after masks were distributed in the Mbale district of Uganda. Trained enumerators directly observed mask wearing in public places and asked about mask use via phone surveys. We compared observed and self-reported mask behavior before and after masks were distributed. We also tested whether training volunteers from randomly selected villages to educate the public about COVID-19 and masks affected behavior, attitudes, and knowledge among mask recipients.ResultsWe collected 6,381 direct observations of mask use at baseline (February 2021) and 19,855 observations at endline (April 2021). We conducted a listing of 9,410 households eligible for phone surveys and randomly selected 399 individuals (4.2%) at baseline and 640 (6.8%) at endline. Fewer than 1% of individuals were observed wearing masks at baseline: 0.9% were seen with a mask and 0.5% wore masks over mouth and nose. Mask wearing significantly increased at endline but remained low: 1.8% of people were observed with masks and 1.1% were seen wearing masks correctly after the distribution campaign. At the same time, a high proportion of people reported using masks: 63.0% of people reported using masks at baseline and 65.3% at endline when walking around their villages. When respondents were asked about mask use in public places, 94.7% reported using masks at baseline and 97.4% reported using masks at endline. We found no differences in knowledge, behavior, or attitudes among mask recipients in villages where volunteers were tasked with conveying information about COVID-19 and masks during distribution.ConclusionMask use remained low in Mbale district of Uganda during study observation period even after free masks were distributed. Encouraging new health behaviors may need to involve more intensive interventions that include reminders and address social norms.

This map shows recent COVID-19 Trends with arrows that represent each county's recent trend history, and weekly new case counts for U.S. counties. The map data is updated weekly and featured in this storymap.It shows COVID-19 Trend for the most recent Monday with a colored arrow for each county. The larger the arrow, the longer the county has had this trend. An up arrow indicates the number of active cases continue upward. A down arrow indicates the number of active cases is going down. The intent of this map is to give more context than just the current day of new data because daily data for COVID-19 cases is volatile and can be unreliable on the day it is first reported. Weekly summaries in the counts of new cases smooth out this volatility.Click or tap on a county to see a history of trend changes and a weekly graph of new cases going back to February 1, 2020. This map is updated every Tuesday based on data through the previous Sunday. See also this version of the map for additional perspective.COVID-19 Trends show how each county is doing and are updated daily. We base the trend assignment on the number of new cases in the past two weeks and the number of active cases per 100,000 people. To learn the details for how trends are assigned, see the full methodology. There are five trends:Emergent - New cases for the first time or in counties that have had zero new cases for 60 or more days.Spreading - Low to moderate rates of new cases each day. Likely controlled by local policies and individuals taking measures such as wearing masks and curtailing unnecessary activities.Epidemic - Accelerating and uncontrolled rates of new cases.Controlled - Very low rates of new cases.End Stage - One or fewer new cases every 5 days in larger populations and fewer in rural areas.For more information about COVID-19 trends, see the full methodology.Data Source: Johns Hopkins University CSSE US Cases by County dashboard and USAFacts for Utah County level Data.

More than half of Hungarians surveyed found wearing face masks against coronavirus (COVID-19) unnecessary. Another 39 percent of respondents said that they would wear a mask but they could not find any due to a shortage of supplies.

The Face Mask Wearing Image Dataset is a comprehensive collection of images focused on different types of face masks and their usage. This dataset has been meticulously organized and divided into two main folders: "Correct" and "Incorrect," representing instances of face masks being worn properly and improperly, respectively.

Correct: This folder contains images of individuals wearing face masks correctly. It comprises four subfolders, each representing a specific type of face mask: Bandana: Images of individuals wearing bandana-style face masks correctly. Cotton: Images of individuals wearing cloth or cotton face masks correctly. N95: Images of individuals wearing N95 respirators correctly. Surgical: Images of individuals wearing surgical masks correctly.

Incorrect: This folder contains images of individuals wearing face masks improperly. Like the "Correct" folder, it also comprises four subfolders corresponding to the different types of face masks: Bandana: Images of individuals wearing bandana-style face masks incorrectly. Cotton: Images of individuals wearing cloth or cotton face masks incorrectly. N95: Images of individuals wearing N95 respirators incorrectly. Surgical: Images of individuals wearing surgical masks incorrectly.

Within each of the above subfolders, there are three additional subfolders based on gender: Child: Images of children wearing the specific type of face mask (correctly or incorrectly). Male: Images of males wearing the specific type of face mask (correctly or incorrectly). Female: Images of females wearing the specific type of face mask (correctly or incorrectly). The dataset is designed to cover a diverse range of scenarios and variations in face mask usage across different mask types, age groups, and genders.

Total Images: The dataset contains a total of 24,916 images.

Usage: The Face Mask Wearing Image Dataset can be used for various research purposes, such as developing and evaluating machine learning algorithms for face mask detection and classification. Researchers can utilize this dataset to train models that can identify and differentiate between correct and incorrect face mask usage, contributing to public health initiatives, and promoting proper mask-wearing behavior.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This map is updated weekly and currently shows data through March 5, 2023, which will be the final update of this map.Note: Nebraska stopped reporting county level-results on 5/25/2021 and re-started on 9/26/21 with a lump-sum representing the previous four months - this impacted the weekly sum of cases fields.It shows COVID-19 Trend for the most recent Monday with a colored dot for each county. The larger the dot, the longer the county has had this trend. Includes Puerto Rico, Guam, Northern Marianas, U.S. Virgin Islands.The intent of this map is to give more context than just the current day of new data because daily data for COVID-19 cases is volatile and can be unreliable on the day it is first reported. Weekly summaries in the counts of new cases smooth out this volatility. Click or tap on a county to see a history of trend changes and a weekly graph of new cases going back to February 8, 2020. This map is updated every Monday* based on data through the previous Sunday. See also this version of the map for another perspective.COVID-19 Trends show how each county is doing and are updated daily. We base the trend assignment on the number of new cases in the past two weeks and the number of active cases per 100,000 people. To learn the details for how trends are assigned, see the full methodology. There are five trends:Emergent - New cases for the first time or in counties that have had zero new cases for 60 or more days.Spreading - Low to moderate rates of new cases each day. Likely controlled by local policies and individuals taking measures such as wearing masks and curtailing unnecessary activities.Epidemic - Accelerating and uncontrolled rates of new cases.Controlled - Very low rates of new cases.End Stage - One or fewer new cases every 5 days in larger populations and fewer in rural areas.*Starting 8/22/2021 we began updating on Mondays instead of Tuesdays as a result of optimizing the scripts that produce the weekly analysis. For more information about COVID-19 trends, see the full methodology. Data Source: Johns Hopkins University CSSE US Cases by County dashboard and USAFacts for Utah County level Data.

Its contains raw data for the second data collection period in July and August. (XLSX)

Google Trends data have been used to investigate various themes on online information seeking. It was unclear if the population from different parts of the world shared the same amount of attention to different mask types during the COVID-19 pandemic. This study aimed to reveal which types of masks were frequently searched by the public in different countries, and evaluated if public attention to masks could be related to mandatory policy, stringency of the policy, and transmission rate of COVID-19. By referring to an open dataset hosted at the online database Our World in Data, the 10 countries with the highest total number of COVID-19 cases as of 9th of February 2022 were identified. For each of these countries, the weekly new cases per million population, reproduction rate (of COVID-19), stringency index, and face covering policy score were computed from the raw daily data. Google Trends were queried to extract the relative search volume (RSV) for different types of masks from each of these countries. Results found that Google searches for N95 masks were predominant in India, whereas surgical masks were predominant in Russia, FFP2 masks were predominant in Spain, and cloth masks were predominant in both France and United Kingdom. The United States, Brazil, Germany, and Turkey had two predominant types of mask. The online searching behavior for masks markedly varied across countries. For most of the surveyed countries, the online searching for masks peaked during the first wave of COVID-19 pandemic before the government implemented mandatory mask wearing. The search for masks positively correlated with the government response stringency index but not with the COVID-19 reproduction rate or the new cases per million.

Regardless of the advocacies made by the media and numerous organizations about the need for preventing the spread of COVID-19, there still exists a gap as far as compliance to regular implementation of the preventive mechanisms within communities is concerned. The purpose of the present study was, therefore, to examine compliance to personal protective behavioral recommendations to contain the spread of COVID-19 among urban residents engaged in the informal economic activities in Wolaita Sodo town, Southern Ethiopia. A cross-sectional study design was used where quantitative data were collected through the survey research method. Three hundred and eighty-four participants of the urban-based informal economy were randomly selected and contacted in their own natural settings with an interviewer-administered questionnaire. Data were inserted into SPSS software for analysis that involved both descriptive and inferential statistics, including frequency and percentage distributions, binomial and multinomial logistic regressions. The results of the research indicated that only 35.4% of the respondents regularly wore a mask. In addition, 54.9% of the survey participants disclosed that they do not clean their hands with disinfectants after touching objects under circumstances where they cannot get access to water and soap. Moreover, the most commonly reported reason of respondents for non-compliance to regular wearing of a mask has been its inconvenience or discomfort (62.8%), followed by the need to appear indifferent because most people around them do not wear a mask (25.2%). Furthermore, experiences of the respondents of regularly wearing a mask are significantly associated with regular attendance of the media regarding the preventive mechanisms of COVID-19 (OR = 0.224; P < 0.001; 95%C.I: 0.109–0.460), knowledge of someone ever infected by COVID-19 (OR = 0.402; P < 0.05; 95%C.I: 0.190–0.851), the belief that COVID-19 causes a severe illness (OR = 0.444; P < 0.05; 95%C.I: 0.201–0.980), and perception of the likelihood of dying as a result of infection by COVID-19 (OR = 0.374; P < 0.01; 95% C.I: 0.197–0.711). The authors have found a low level of compliance to the recommended safety measures, especially wearing of masks. It is, therefore, important that continued efforts of raising awareness should be done by all the concerned bodies. Above all, urban safety net programs that aim at keeping such social groups at home, at least during the critical wave of the pandemic, should also be strengthened.