Development of a coronavirus social distance attitudes scale

An, Lawrence C.; Hawley, Sarah T.; Bacon, Elizabeth; Yang, Penny; Resnicow, Ken

doi:10.1016/j.pec.2020.11.027

Cited by 16 publications

(30 citation statements)

References 38 publications

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“…Compared to the analysis of negative attitudes toward social distancing during COVID-19, a significant difference emerges between the averages obtained from the male participants in the research and those obtained from the male normative sample (An et al, 2021, see Table 8). The men of the normative sample referred to during the first pandemic period scored higher than the males participating in the research.…”

Section: Negative Social Distancementioning

confidence: 71%

The Fear of Contagion and the Attitude Toward the Restrictive Measures Imposed to Face COVID-19 in Italy: The Psychological Consequences Caused by the Pandemic One Year After It Began

Rania

Coppola

2022

Front. Psychol.

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The pandemic nature of COVID-19 has caused major changes in health, economy, and society globally. Albeit to a lesser extent, contingent access to shops and places to socialize the imposition of social distancing and the use of indoor masks is measures still in force today (more than a year after the start of the pandemic), with repercussions on economic, social, and psychological levels. The fear of contagion, in fact, has led us to be increasingly suspicious and to isolate ourselves from the remainder of the community. This has had repercussions on the perception of loneliness, with significant psychological consequences, such as the development of stress, anxiety, and, in extreme cases, depressive symptoms. Starting from these assumptions, this research was developed with the aim of deepening the perceptions that the participants have of their own mental health, loneliness, fear linked to contagion, and attitudes toward imposed social distancing. In particular, we wanted to analyze whether there is a relationship between perceived fear and the perceived level of mental health, loneliness, and attitude toward social distancing. Finally, we wanted to analyze whether there are differences related to gender, age, marital status, current working mode, and educational qualifications. The research, performed after the diffusion of the vaccination in Italy, lasted 14 days. The participants were 500 Italians who voluntarily joined the study and were recruited with random cascade sampling. The research followed a quantitative approach. The analyzed data, from participants residing throughout the national territory, allow us to return the picture of the perceptions that Italians have of the fear of contagion, of their level of mental health, of loneliness and of their attitude toward social distancing. In particular, the data show that fear of COVID-19 is an emotional state experienced by the entire population and that young people have suffered more from loneliness and have been less inclined to accept the imposed social distancing. The data that emerged should make policymakers reflect on the need to find functional strategies to combat COVID-19 or other health emergency crises whose effects do not affect the psychological wellbeing of the population.

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Section: Negative Social Distancementioning

confidence: 71%

The Fear of Contagion and the Attitude Toward the Restrictive Measures Imposed to Face COVID-19 in Italy: The Psychological Consequences Caused by the Pandemic One Year After It Began

Rania

Coppola

2022

Front. Psychol.

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“…An et al investigated the characteristics related to positive and negative attitudes towards social distancing as a preventive measure in the USA (n=1074) in May 2020. 8 They showed that female sex, older ages (65 years or older) and Democratic political party support were associated with a more positive attitude towards social distancing. Our study adds to the literature by tracking changes in population behaviour during a national public holiday.…”

Section: Discussionmentioning

confidence: 99%

“…[11][12][13] Factors related to preventive knowledge and behaviour for COVID-19 have been examined in several studies. [5][6][7][8] Shahnazi et al examined the associations between preventive behaviours for COVID-19 and health belief factors, fatalistic beliefs and demographic factors among 750 Iranian adults during the period from 11 to 16 March 2020. They showed that the adoption of preventive behaviour was higher in women than men and higher in urban dwellers than rural dwellers.…”

Section: Discussionmentioning

confidence: 99%

“…Studies have shown that there are variations in the tendency to adopt protective measures such as social distancing based on people's age, gender, socioeconomic characteristics (educational attainment, occupation) and political ideology. [5][6][7][8] However, there were a few tools to examine people's daily behaviour to quantify the risk of being infected based on people's daily activities. In addition, the extent of contagion differs with regional conditions, as well as population mobility during special events such as national holidays.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

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Increase in people’s behavioural risks for contracting COVID-19 during the 2021 New Year holiday season: longitudinal survey of the general population in Japan

Takahashi

Yamada²,

Sasaki³

et al. 2022

BMJ Open

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ObjectivesThere has been no study in Japan on the predictors of risk for acquiring SARS-CoV-2 infection based on people’s behaviour during the COVID-19 pandemic. The aim of this study was to document changes in risk behaviour during the New Year’s holiday season in 2021 and to identify factors associated with high-risk behaviour for infection using a quantitative assessment tool.DesignA longitudinal survey.SettingMultiphasic health check-ups for the general population in Iwate Prefecture.ParticipantsSerial cross-sectional data were obtained using rapid online surveys of residents in Iwate Prefecture from 4 to 7 December 2020 (baseline survey) and from 5 to 7 February 2021 (follow-up survey). The data in those two surveys were available for a total of 9741 participants.Main outcome measuresWe estimated each individual’s risk of acquiring SARS-CoV-2 infection based on the microCOVID calculator. We defined four trajectories of individual risk behaviours based on the probabilities of remaining at low risk, increasing to high risk, improving to low risk and persistence of high risk.ResultsAmong people in the low-risk group in the first survey, 3.6% increased to high risk, while high risk persisted in 80.0% of people who were in the high-risk group at baseline. While healthcare workers were significantly more likely to be represented in both the increasing risk and persistently high-risk group, workers in the education setting were also associated with persistence of high risk (OR 2.58, 95% CI 1.52 to 4.39; p<0.001).ConclusionsIn determining countermeasures against COVID-19 (as well as future outbreaks), health officials should take into account population changes in behaviour during large-scale public events.

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“…Social distancing [6] is the biggest weapon to fight against this pandemic; some people are understanding it and taking care of it, but some people really don't care about it. They want to maintain social distance and other such kinds of precautions to fight against this pandemic, but they were not able to do it while traveling due to the crowd.…”

Section: Literature Reviews/comparative Studymentioning

confidence: 99%

Social Distancing and Crowd Density Distribution System for Public Places and Public Transports Using Computer Vision and NLP

Sharma

Modanval

Tayal

et al. 2021

Advanced Computing and Intelligent Technologies

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The world population is growing day by day but the resources are limited. So, on one hand, we have to fulfill our requirements by using resources in an optimized manner, and on the other hand, we are currently in a pandemic for which social distancing is the key to prevent ourselves from the COVID-19 virus. We all travel by bus, train, metros, and other public transports, and we all have faced the problem of overcrowding in public transport once in our life especially during any festive season when there is a lot of rush among people to go from their workplace to their hometown. The problem of overcrowding is very common in developing countries like India where the population is relatively higher than the number of seats in public transports. For instance, if we look at the Delhi metro in which it is almost impossible to travel during the festive season. However, it's a regular problem, but the crowd becomes more when any festive season approaches. And due to such rush, people tend to just get inside the metro without even searching for a relatively less crowded or vacant seat/compartment, resulting in an unusual pattern of density seen across the metro, somewhere empty and somewhere highly crowded that even no place to stand. And now due to the COVID-19 pandemic, the situation worsens, on one hand, we are bound to travel in-crowd for work and on the other hand, we have to maintain social distancing for COVID prevention. So it becomes almost impossible to travel through such public transport. To solve such problems we are proposing a solution, that is, a system that takes care of the public places/transports by scanning and informing passengers where they can move to find a seat or less crowded. It also helps to ensure social distancing in the times of the COVID-19 pandemic.

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Development of a coronavirus social distance attitudes scale

Cited by 16 publications

References 38 publications

The Fear of Contagion and the Attitude Toward the Restrictive Measures Imposed to Face COVID-19 in Italy: The Psychological Consequences Caused by the Pandemic One Year After It Began

The Fear of Contagion and the Attitude Toward the Restrictive Measures Imposed to Face COVID-19 in Italy: The Psychological Consequences Caused by the Pandemic One Year After It Began

Increase in people’s behavioural risks for contracting COVID-19 during the 2021 New Year holiday season: longitudinal survey of the general population in Japan

Social Distancing and Crowd Density Distribution System for Public Places and Public Transports Using Computer Vision and NLP

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