scholarly journals Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude, and Four Nonpharmaceutical Interventions During the Late Period of the COVID-19 Epidemic in China: Online Cross-Sectional Survey of 8158 Adults

10.2196/21372 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e21372 ◽  
Author(s):  
Hong Xu ◽  
Yong Gan ◽  
Daikun Zheng ◽  
Bo Wu ◽  
Xian Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Perception ◽  
Positive Attitude ◽  
The Other ◽  
Protective Measure ◽  
Risk Of Infection ◽  
Social Distancing ◽  
Public Risk ◽  
Nonpharmaceutical Interventions ◽  
Reduced Risk

Background So far, there have been no published population studies on the relationship between a COVID-19 infection and public risk perception, information source, knowledge, attitude, and behaviors during the COVID-19 outbreak in China. Objective This study aims to understand the relationships between COVID-19 infection; four personal nonpharmaceutical interventions (NPIs; handwashing, proper coughing habits, social distancing, and mask wearing); and public risk perception, knowledge, attitude, and other social demographic variables. Methods An online survey of 8158 Chinese adults between February 22 and March 5, 2020, was conducted. Bivariate associations between categorical variables were examined using Fisher exact test. We also explored the determinants of four NPIs as well as their association with COVID-19 infection using logistic regression. Results Of 8158 adults included, 57 (0.73%) were infected with COVID-19. The overwhelming majority of respondents showed a positive attitude (n=8094, 99.2%), positive risk perception (n=8146, 99.9%), and high knowledge levels that were among the strongest predictors of the four adopted NPIs (handwashing: n=7895, 96.8%; proper coughing: 5997/6444, 93.1%; social distancing: n=7104/8158, 87.1%; and mask wearing: 5011/5120, 97.9%). There was an increased risk of COVID-19 infection for those who did not wash their hands (2.28% vs 0.65%; risk ratio [RR] 3.53, 95% CI 1.53-8.15; P=.009), did not practice proper coughing (1.79% vs 0.73%; RR 2.44, 95% CI 1.15-5.15; P=.03), did not practice social distancing (1.52% vs 0.58%; RR 2.63, 95% CI 1.48-4.67; P=.002), and did not wear a mask (7.41% vs 0.6%; RR 12.38, 95% CI 5.81-26.36; P<.001). For those who did practice all other three NPIs, wearing a mask was associated with a significantly reduced risk of infection compared to those who did not wear a mask (0.6% vs 16.7%; P=.04). Similarly, for those who did not practice all or part of the other three NPIs, wearing a mask was also associated with a significantly reduced risk of infection. In a penalized logistic regression model including all four NPIs, wearing a mask was the only significant predictor of COVID-19 infection among the four NPIs (odds ratio 7.20, 95% CI 2.24-23.11; P<.001). Conclusions We found high levels of risk perception, positive attitude, desirable knowledge, as well as a high level of adopting the four NPIs. The relevant knowledge, risk perception, and attitude were strong predictors of adapting the four NPIs. Mask wearing, among the four personal NPIs, was the most effective protective measure against COVID-19 infection, with added preventive effect among those who practiced all or part of the other three NPIs.

scholarly journals Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude, and Four Nonpharmaceutical Interventions During the Late Period of the COVID-19 Epidemic in China: Online Cross-Sectional Survey of 8158 Adults (Preprint)

2020 ◽  
Author(s):  
Hong Xu ◽  
Yong Gan ◽  
Daikun Zheng ◽  
Bo Wu ◽  
Xian Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Perception ◽  
Positive Attitude ◽  
The Other ◽  
Protective Measure ◽  
Risk Of Infection ◽  
Social Distancing ◽  
Public Risk ◽  
Nonpharmaceutical Interventions ◽  
Reduced Risk

BACKGROUND So far, there have been no published population studies on the relationship between a COVID-19 infection and public risk perception, information source, knowledge, attitude, and behaviors during the COVID-19 outbreak in China. OBJECTIVE This study aims to understand the relationships between COVID-19 infection; four personal nonpharmaceutical interventions (NPIs; handwashing, proper coughing habits, social distancing, and mask wearing); and public risk perception, knowledge, attitude, and other social demographic variables. METHODS An online survey of 8158 Chinese adults between February 22 and March 5, 2020, was conducted. Bivariate associations between categorical variables were examined using Fisher exact test. We also explored the determinants of four NPIs as well as their association with COVID-19 infection using logistic regression. RESULTS Of 8158 adults included, 57 (0.73%) were infected with COVID-19. The overwhelming majority of respondents showed a positive attitude (n=8094, 99.2%), positive risk perception (n=8146, 99.9%), and high knowledge levels that were among the strongest predictors of the four adopted NPIs (handwashing: n=7895, 96.8%; proper coughing: 5997/6444, 93.1%; social distancing: n=7104/8158, 87.1%; and mask wearing: 5011/5120, 97.9%). There was an increased risk of COVID-19 infection for those who did not wash their hands (2.28% vs 0.65%; risk ratio [RR] 3.53, 95% CI 1.53-8.15; <i>P</i>=.009), did not practice proper coughing (1.79% vs 0.73%; RR 2.44, 95% CI 1.15-5.15; <i>P</i>=.03), did not practice social distancing (1.52% vs 0.58%; RR 2.63, 95% CI 1.48-4.67; <i>P</i>=.002), and did not wear a mask (7.41% vs 0.6%; RR 12.38, 95% CI 5.81-26.36; <i>P</i>&lt;.001). For those who did practice all other three NPIs, wearing a mask was associated with a significantly reduced risk of infection compared to those who did not wear a mask (0.6% vs 16.7%; <i>P</i>=.04). Similarly, for those who did not practice all or part of the other three NPIs, wearing a mask was also associated with a significantly reduced risk of infection. In a penalized logistic regression model including all four NPIs, wearing a mask was the only significant predictor of COVID-19 infection among the four NPIs (odds ratio 7.20, 95% CI 2.24-23.11; <i>P</i>&lt;.001). CONCLUSIONS We found high levels of risk perception, positive attitude, desirable knowledge, as well as a high level of adopting the four NPIs. The relevant knowledge, risk perception, and attitude were strong predictors of adapting the four NPIs. Mask wearing, among the four personal NPIs, was the most effective protective measure against COVID-19 infection, with added preventive effect among those who practiced all or part of the other three NPIs.

scholarly journals The Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude As Well As Four Non-pharmaceutical Interventions (NPIs) During the Late Period Of The COVID-19 Epidemic In China – An Online Cross-sectional Survey of 8158 Adults

2020 ◽  
Author(s):  
Hong Xu ◽  
Yong Gan ◽  
Daikun Zheng ◽  
Bo Wu ◽  
Xian Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Perception ◽  
Positive Attitude ◽  
Hand Washing ◽  
The Other ◽  
Risk Of Infection ◽  
Social Distancing ◽  
The Relationship ◽  
Reduced Risk ◽  
Pharmaceutical Interventions

AbstractBackgroundSo far, there has been no published population study on the relationship between COVID-19 infection and public’s risk perception, information source, knowledge, attitude and four non-pharmaceutical interventions(NPI: hand washing, proper coughing habits, social distancing and mask wearing) during the COVID-19 outbreak in China.MethodsAn online survey of 8158 Chinese adults between 22 February to 5 March 2020 was conducted. Bivariate associations between categorical variables were examined using Fisher exact test. We also explored the determinants of four NPIs as well as their association with COVID-19 infection using logistic regression.ResultsOf 8158 adults included, 57 (0.73%) were infected with COVID-19. The overwhelming majority of respondents showed a positive attitude (99.2%), positive risk perception (99.9%) and high knowledge levels that were among the strongest predictors of four highly adopted NPIs (hand washing:96.8%; proper coughing: 93.1%; social distancing:87.1%; mask wearing:97.9%). There was an increased risk of COVID-19 infection for those who not washing hands (2.28% vs 0.65%; RR=3.53: 95%CI: 1.53-8.15; P<0.009); not practicing proper coughing (1.79% vs 0.73%; RR=2.44: 95%CI: 1.15-5.15;P=0.026); not practicing social distancing (1.52% vs 0.58%; RR=2.63:95%CI:1.48 – 4.67; P=0.002); and not wearing a mask (7.41% vs 0.6%; RR=12.38:95%CI:5.81-26.36; P<0.001). For those who did practice all other three NPIs, wearing mask was associated with significantly reduced risk of infection compared to those who did not wear a mask (0.6% vs 16.7%; p=0.035). Similarly, for those who did not practice all or part of the other three NPIs, wearing mask was also associated with significantly reduced risk of infection. In a penalised logistic regression model including all four NPIs, wearing a mask was the only significant predictor of COVID-19 infection among four NPIs (OR=7.20; 95%CI:2.24-23.11; p<0.001).ConclusionsWe found high levels of risk perception, positive attitude, desirable knowledge as well as a high level of adopting four NPIs. The relevant knowledge, risk perception and attitude were strong predictors of adapting the four NPIs. Mask wearing, among four personal NPIs, was the most effective protective measure against COVID-19 infection with added preventive effect among those who practised all or part of the other three NPIs.

scholarly journals Associations between wearing masks, washing hands, and social distancing practices, and risk of COVID-19 infection in public: a cohort-based case-control study in Thailand

2020 ◽  
Author(s):  
Pawinee Doung-ngern ◽  
Repeepong Suphanchaimat ◽  
Apinya Panjangampatthana ◽  
Chawisar Janekrongtham ◽  
Duangrat Ruampoom ◽  
...  
Keyword(s):  
Lower Risk ◽  
Case Control Study ◽  
Case Control ◽  
Protective Measure ◽  
Control Group ◽  
Case Group ◽  
Risk Of Infection ◽  
Mixed Effect ◽  
Social Distancing ◽  
Control Study

SummaryBackgroundEffectiveness of personal protective measure against COVID-19 infection is largely unknown.MethodsWe conducted a retrospective case-control study, using a cohort of contact tracing records in Thailand. A total of 1,050 asymptomatic contacts of COVID-19 patients between 1 and 31 March 2020 were retrospectively interviewed by phone about their protective measures against COVID-19 infection. Cases were defined as asymptomatic contacts who were diagnosed with COVID-19 by 21 April 2020. Multilevel mixed-effect logistic regression models were usedFindingsOverall, 211 (20%) were diagnosed with COVID-19 by 21 Apr 2020 (case group) while 839 (80%) were not (control group). Fourteen percent of cases (29/210) and 24% of controls (198/823) reported wearing either non-medical or medical masks all the time during the contact period. Wearing masks all the time (adjusted odds ratio [aOR] 0.23; 95%CI 0.09-0.60) was independently associated with lower risk of COVID-19 infection compared to not wearing masks, while wearing masks sometimes (aOR 0.87; 95%CI 0.41-1.84) was not. Shortest distance of contact >1 meter (aOR 0.15; 95%CI 0.04-0.63), duration of close contact ≤15 minutes (aOR 0.24; 95%CI 0.07-0.90) and washing hands often (aOR 0.33; 95%CI 0.13-0.87) were significantly associated with lower risk of infection. Sharing a cigarette (aOR 3.47; 95%CI 1.09-11.02) was associated with higher risk of infection. Those who wore masks all the time were more likely to wash hands and practice social distancing. We estimated that if everyone wore a mask all the time, washed hands often, did not share a dish, cup or cigarette, maintained distances >1 meter and spent ≤15 minutes with close contacts, cases would have been reduced by 84%.InterpretationOur findings support consistently wearing masks, washing hands, and social distancing in public to protect against COVID-19 infections. Combining measures could substantially reduce infections in Thailand.FundingThe study was supported by the DDC, MoPH, Thailand. DL is supported by the Wellcome Trust (106698/Z/14/Z).

scholarly journals Association of social distancing and masking with risk of COVID-19

2020 ◽  
Author(s):  
Sohee Kwon ◽  
Amit D. Joshi ◽  
Chun-Han Lo ◽  
David A. Drew ◽  
Long H. Nguyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Cohort Study ◽  
Severe Acute Respiratory Syndrome ◽  
Lower Risk ◽  
Unmet Need ◽  
Risk Of Infection ◽  
Social Distancing ◽  
Inform Decision Making ◽  
The U.S ◽  
Reduced Risk

AbstractGiven the continued burden of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) disease (COVID-19) across the U.S., there is a high unmet need for data to inform decision-making regarding social distancing and universal masking. We examined the association of community-level social distancing measures and individual masking with risk of predicted COVID-19 in a large prospective U.S. cohort study of 198,077 participants. Individuals living in communities with the greatest social distancing had a 31% lower risk of predicted COVID-19 compared with those living in communities with poor social distancing. Self-reported masking was associated with a 63% reduced risk of predicted COVID-19 even among individuals living in a community with poor social distancing. These findings provide support for the efficacy of mask-wearing even in settings of poor social distancing in reducing COVID-19 transmission. In the current environment of relaxed social distancing mandates and practices, universal masking may be particularly important in mitigating risk of infection.

scholarly journals When Private Optimism meets Public Despair: Dissociable effects on behavior and well-being

2020 ◽  
Author(s):  
Laura K. Globig ◽  
Bastien Blain ◽  
Tali Sharot
Keyword(s):  
Risk Perception ◽  
Well Being ◽  
The Self ◽  
Risk Of Infection ◽  
Protective Behaviors ◽  
Time Points ◽  
Public Risk ◽  
Estimated Risk ◽  
Positive Feelings ◽  
Large Representative

When faced with a threat, peoples’ estimate of risk guides their response. When danger is to the self as well as to others two estimates are generated: the risk to oneself and the risk to others. As these estimates likely differ, it is unclear how exactly they drive a response. To answer this question, we studied a large representative sample of Americans facing the COVID-19 pandemic at two time points (N1=1145, N2=683). We discover a paradoxical duality: a tendency to be optimistic about one’s own risk of infection (private optimism) while at the same time to be pessimistic about the risk to others (public pessimism). These two estimates were found to be differentially related to affect and choice. First, private optimism, but not public pessimism, was associated with people’s positive feelings. The association between private optimism and positive affect was mediated by people’s sense of agency over their future. However, negative affect was related to both private risk perception and public risk perception. Second, people predominantly engaged in protective behaviors based on their estimated risk to the population rather than to themselves. This suggests that people were predominantly engaging in protective behaviors for the benefit of others. The findings are important for understanding how people’s beliefs about their own future and that of others are related to protective behaviors and well-being.

scholarly journals P005 Rheumatology virtual clinics during COVID-19: are our patients satisfied?

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Fajer A Altamimi ◽  
Una Martin
Keyword(s):  
Medical Information ◽  
Worker Safety ◽  
University Hospital ◽  
Free Text ◽  
Risk Of Infection ◽  
Further Training ◽  
Return Envelope ◽  
The Right ◽  
Reduced Risk

Abstract Background/Aims  Telemedicine can be broadly defined as the use of telecommunication technologies to provide medical information and services. It can be audio, visual, or text. Its use has increased dramatically during the COVID-19 pandemic to ensure patient and healthcare worker safety. Any healthcare professional can engage with it. It carries benefits like reduced stress and expense of traveling, maintenance of social distancing, and reduced risk of infection. There are some potential drawbacks such as lack of physical examination, liability and technological issues. Methods  A questionnaire was sent to 200 patients, selected from different virtual clinics (new and review, doctor and ANP led) run between March and May 2020 in the rheumatology department of University Hospital Waterford. We formulated 14 questions to cover the following aspects: demography, the purpose of the consult, punctuality, feedback, medico-legal concerns, and free text for comments. A self-addressed return envelope was included. Results  83 responses were received. 2 were excluded. The ratio of females to male respondents was 59: 41, with the majority over 60 years old. The main appointment type was review 67 (83%). 80% of patients were called either before or at the time of their scheduled appointment. The vast majority (98.8%) of our patients had confidence in our data protection and trusted our system to maintain their confidentiality. 95% stated that they felt comfortable, were given enough time to explain their health problem and felt free from stress. The respondents who preferred attending the clinic in person (17 in total) compared to the virtual were mostly follow up patients- 12 vs. 5 new. Conclusion  Patient satisfaction among those surveyed was high, despite having to introduce the service abruptly during the COVID-19 pandemic. There are many improvements we can adopt to improve our service and even maintain after the pandemic as a way of communicating with our stable patients. As we are covering a large geographical catchment, we can continue to implement the virtual clinic for some appointments. We should prioritize our efforts on identifying the right patient and the type of service we can offer, further training of staff, and increasing awareness of the patients as to how to get the most out of a virtual appointment. Disclosure  F.A. Altamimi: None. U. Martin: None. C. Sheehy: None.

scholarly journals Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement

2021 ◽  
Vol 18 (12) ◽  
pp. 6314
Author(s):  
Jifei Wu ◽  
Xiangyun Zhang ◽  
Yimin Zhu ◽  
Grace Fang Yu-Buck
Keyword(s):  
Risk Perception ◽  
Perceived Risk ◽  
Hospitality Industry ◽  
Positive Influence ◽  
Mediating Effect ◽  
Service Robots ◽  
Industry Analysis ◽  
Social Distancing ◽  
Risk Seeking ◽  
Positive Effect

The purpose of this study was to examine the effect of the COVID-19 pandemic on customer–robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19 has a positive influence on customer–robot engagement. The positive effect is mediated by social distancing and moderated by attitudes towards risk. Specifically, the mediating effect of social distancing between the perceived risk of COVID-19 and customer–robot engagement is stronger for risk-avoiding (vs. risk-seeking) customers. Our results provide insights for hotels when they employ service robots to cope with the shock of COVID-19 pandemic.

scholarly journals Heritage Artefacts in the COVID-19 Era: The Aura and Authenticity of 3D Models

2021 ◽  
Vol 7 (1) ◽  
pp. 519-539
Author(s):  
Thiago Minete Cardozo ◽  
Costas Papadopoulos
Keyword(s):  
User Experience ◽  
Three Dimensional ◽  
3D Models ◽  
Essential Elements ◽  
The Other ◽  
Social Distancing ◽  
The Public ◽  
Affective Experiences ◽  
The One ◽  
Digital Engagement

Abstract Museums have been increasingly investing in their digital presence. This became more pressing during the COVID-19 pandemic since heritage institutions had, on the one hand, to temporarily close their doors to visitors while, on the other, find ways to communicate their collections to the public. Virtual tours, revamped websites, and 3D models of cultural artefacts were only a few of the means that museums devised to create alternative ways of digital engagement and counteract the physical and social distancing measures. Although 3D models and collections provide novel ways to interact, visualise, and comprehend the materiality and sensoriality of physical objects, their mediation in digital forms misses essential elements that contribute to (virtual) visitor/user experience. This article explores three-dimensional digitisations of museum artefacts, particularly problematising their aura and authenticity in comparison to their physical counterparts. Building on several studies that have problematised these two concepts, this article establishes an exploratory framework aimed at evaluating the experience of aura and authenticity in 3D digitisations. This exploration allowed us to conclude that even though some aspects of aura and authenticity are intrinsically related to the physicality and materiality of the original, 3D models can still manifest aura and authenticity, as long as a series of parameters, including multimodal contextualisation, interactivity, and affective experiences are facilitated.

Children With Intellectual Disability and Victimization: A Logistic Regression Analysis

2021 ◽  
pp. 107755952199417
Author(s):  
Katherine R. Brendli ◽  
Michael D. Broda ◽  
Ruth Brown
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Intellectual Disability ◽  
Logistic Regression Analysis ◽  
District Of Columbia ◽  
The Other ◽  
Future Research ◽  
Common Assumption ◽  
Research And Practice ◽  
Demographic Correlates

It is a common assumption that children with disabilities are more likely to experience victimization than their peers without disabilities. However, there is a paucity of robust research supporting this assumption in the current literature. In response to this need, we conducted a logistic regression analysis using a national dataset of responses from 26,572 parents/caregivers to children with and without disabilities across all 50 states, plus the District of Columbia. The purpose of our study was to acquire a greater understanding of the odds of victimization among children with and without intellectual disability (ID), while controlling for several child and parent/adult demographic correlates. Most notably, our study revealed that children with ID have 2.84 times greater odds of experiencing victimization than children without disabilities, after adjusting for the other predictors in the model. Implications for future research and practice are discussed.

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