在特拉华州服务不足的社区进行COVID-19检测:检测不平等的人口和社会决定因素

Discover Social Science and Health Pub Date : 2022-01-01 Epub Date: 2022-06-27 DOI:10.1007/s44155-022-00013-1
Sharron Xuanren Wang, Nicole Bell Rogers, Melissa Harrington, Dorothy Dillard
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引用次数: 0

摘要

背景:卫生专家认为,频繁进行COVID-19检测是阻止COVID-19病毒传播的最重要做法之一。人口和社会因素可能在一个人是否接受新冠病毒检测方面发挥作用。本研究旨在调查(1)影响个人接受COVID-19检测可能性的人口统计学和社会因素,以及(2)血清学检测阳性(即表明可能过去感染)相关的人口统计学和社会因素。方法:数据是从特拉华州服务不足的社区进行的调查中提取的。参与者被要求完成一份关于他们的COVID-19检测史的问卷,研究现场的护士从每位参与者那里收集了血清学样本。结果:我们的研究结果表明,与非西班牙裔白人相比,生活在服务不足社区的黑人或西班牙裔人以前接受过COVID检测的可能性更大。此外,我们的研究发现,女性、受过教育、在社区中感到安全、接种过COVID疫苗,以及成为一名重要的工作人员,都会增加之前接受过COVID-19检测的几率。关于COVID-19抗体血清学测试的结果,我们的研究结果显示,与非西班牙裔白人受访者相比,西班牙裔受访者的血清学测试更有可能呈阳性,这表明西班牙裔个体更有可能感染该病毒。与受教育程度较低的人相比,受教育程度较高的人血清学检测呈阳性的可能性较小。那些对接种COVID-19疫苗表示犹豫并认为自己是基本工作人员的人更有可能血清学检测呈阳性,并且以前感染过病毒。结论:确定与COVID-19检测相关的关键因素可能有助于制定新的策略,提高弱势人群的检测率。本文讨论了公共卫生和政策影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

COVID-19 testing in Delaware's underserved communities: demographic and social determinants of testing inequality.

COVID-19 testing in Delaware's underserved communities: demographic and social determinants of testing inequality.

COVID-19 testing in Delaware's underserved communities: demographic and social determinants of testing inequality.

COVID-19 testing in Delaware's underserved communities: demographic and social determinants of testing inequality.

Background: Health experts believe that frequent COVID-19 testing is one of the most important practices for stopping the spread of the COVID-19 virus. Demographic and social factors might play a role in whether a person gets tested for COVID. This present study aimed to investigate (1) the demographic and social factors affecting a person's likelihood of getting tested for COVID-19, and (2) the demographic and social factors related to a positive serology test (i.e., indicating likely past infection).

Methods: Data were extracted from a survey conducted in Delaware's underserved communities. Participants were asked to complete a questionnaire about their COVID-19 testing history, and nurses at the study site collected a serology sample from each participant.

Results: Our results indicated that Black or Hispanic individuals living in underserved communities had greater odds of having been tested previously for COVID compared to being non-Hispanic White. In addition, our study found that being female, educated, feeling safe in one's neighborhood, being vaccinated against COVID, and being an essential worker increased one's odds of having been previously tested for COVID-19. Regarding the results of the COVID-19 antibody serology tests, our findings revealed that Hispanic respondents were more likely to have a positive serology test compared to non-Hispanic White respondents, indicating that the Hispanic individuals were more likely to contract the virus. Educated individuals were less likely to have a positive serology test compared to the less-educated. Those who expressed hesitancy about getting vaccinated for COVID-19 and identified themselves as essential workers were more likely to have a positive serology test and to have previously contracted the virus.

Conclusions: Identifying key factors associated with COVID-19 testing may help establish novel strategies to increase testing rates among vulnerable population. Public health and policy implications are discussed in the article.

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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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