Perceived Corona virus exposure as a function of interpersonal distance and time of a conversation.

Ola Svenson
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引用次数: 1

Abstract

Background: During the COVID-19 pandemic people were asked to keep interpersonal distance, wash their hands and avoid gatherings of people. But, do people understand how much a change of the distance to a virus infected person means for the exposure to that person's virus? To answer this question, we studied how people perceive virus exposure from an infected person at different distances and lengths of a conversation.

Method: An online questionnaire was distributed to 101 participants drawn from the general US population. Participants judged perceived virus exposure at different interpersonal distances to an infected person in a face to face conversation of different lengths of time. A model based on empirical and theoretical studies of dispersion of particles in the air was used to estimate a person's objective virus exposure during different times and distances from a virus source. The model and empirical data show that exposure changes with the square of the distance and linearly with time.

Results: A majority (78%) of the participants underestimated the effects on virus exposure following a change of interpersonal distance. The dominating bias was assuming that exposure varies linearly with distance. To illustrate, an approach to a virus source from 6 to 2 feet was judged to give a 3 times higher exposure but, objectively it is 9 times. By way of contrast, perceptions of exposure as a function of the duration of a conversation were unbiased. The COVID-19 pandemic caused by the SARS-CoV2 virus is likely to be followed by other pandemics also caused by airborne Corona or other viruses. Therefore, the results are important for administrators when designing risk communications to the general public and workers in the health care sector about social distancing and infection risks.

Conclusions: People quite drastically underestimate the increase in virus exposure following an approach to a virus infected person. They also overestimate exposure after a move away from an infected person. For public health reasons, the correct function connecting distance with virus exposure should be communicated to the general public to avoid deliberate violations of recommended interpersonal distances.

Supplementary information: The online version contains supplementary material available at 10.1007/s44155-022-00027-9.

Abstract Image

感知冠状病毒暴露是人际距离和谈话时间的函数。
背景:在2019冠状病毒病大流行期间,人们被要求保持人际距离,洗手,避免人群聚集。但是,人们知道与病毒感染者的距离变化对接触该病毒的人来说意味着什么吗?为了回答这个问题,我们研究了人们如何看待在不同距离和不同时长的谈话中从感染者那里接触到的病毒。方法:从美国普通人群中抽取101名参与者进行在线问卷调查。参与者判断在不同的人际距离上,在不同时间长度的面对面交谈中,与感染者的感知病毒暴露。基于颗粒在空气中扩散的经验和理论研究的一个模型被用来估计一个人在不同时间和距离病毒源的客观病毒暴露。模型和经验数据表明,曝光量随距离的平方和时间的变化呈线性变化。结果:大多数(78%)的参与者低估了人际距离变化对病毒暴露的影响。主要的偏见是假设曝光随距离线性变化。举例来说,从6英尺到2英尺的距离接近病毒源被判断为暴露量高出3倍,但客观上是9倍。相比之下,人们对暴露程度作为谈话持续时间的函数的看法是公正的。在由SARS-CoV2病毒引起的COVID-19大流行之后,可能会发生同样由空气传播的冠状病毒或其他病毒引起的其他大流行。因此,这些结果对于管理人员在设计与公众和卫生保健部门工作人员就社会距离和感染风险进行风险沟通时非常重要。结论:人们大大低估了与病毒感染者接触后病毒暴露量的增加。他们还高估了远离感染者后的暴露程度。出于公共卫生原因,应向公众宣传将距离与病毒接触联系起来的正确功能,以避免故意违反建议的人际距离。补充信息:在线版本包含补充信息,获取地址:10.1007/s44155-022-00027-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Discover Social Science and Health
Discover Social Science and Health intersection of health and social sciences-
CiteScore
0.60
自引率
0.00%
发文量
21
审稿时长
22 days
期刊介绍: Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies. Topics Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.
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