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家庭版 COVID-19 检测的使用情况-美国,2021 年 8 月 23 日-2022 年 3 月 12 日。

Use of At-Home COVID-19 Tests - United States, August 23, 2021-March 12, 2022.

出版信息

MMWR Morb Mortal Wkly Rep. 2022 Apr 1;71(13):489-494. doi: 10.15585/mmwr.mm7113e1.

Abstract

COVID-19 testing provides information regarding exposure and transmission risks, guides preventative measures (e.g., if and when to start and end isolation and quarantine), identifies opportunities for appropriate treatments, and helps assess disease prevalence (1). At-home rapid COVID-19 antigen tests (at-home tests) are a convenient and accessible alternative to laboratory-based diagnostic nucleic acid amplification tests (NAATs) for SARS-CoV-2, the virus that causes COVID-19 (2-4). With the emergence of the SARS-CoV-2 B.1.617.2 (Delta) and B.1.1.529 (Omicron) variants in 2021, demand for at-home tests increased (5). At-home tests are commonly used for school- or employer-mandated testing and for confirmation of SARS-CoV-2 infection in a COVID-19-like illness or following exposure (6). Mandated COVID-19 reporting requirements omit at-home tests, and there are no standard processes for test takers or manufacturers to share results with appropriate health officials (2). Therefore, with increased COVID-19 at-home test use, laboratory-based reporting systems might increasingly underreport the actual incidence of infection. Data from a cross-sectional, nonprobability-based online survey (August 23, 2021-March 12, 2022) of U.S. adults aged ≥18 years were used to estimate self-reported at-home test use over time, and by demographic characteristics, geography, symptoms/syndromes, and reasons for testing. From the Delta-predominant period (August 23-December 11, 2021) to the Omicron-predominant period (December 19, 2021-March 12, 2022) (7), at-home test use among respondents with self-reported COVID-19-like illness more than tripled from 5.7% to 20.1%. The two most commonly reported reasons for testing among persons who used an at-home test were COVID-19 exposure (39.4%) and COVID-19-like symptoms (28.9%). At-home test use differed by race (e.g., self-identified as White [5.9%] versus self-identified as Black [2.8%]), age (adults aged 30-39 years [6.4%] versus adults aged ≥75 years [3.6%]), household income (>$150,000 [9.5%] versus $50,000-$74,999 [4.7%]), education (postgraduate degree [8.4%] versus high school or less [3.5%]), and geography (New England division [9.6%] versus West South Central division [3.7%]). COVID-19 testing, including at-home tests, along with prevention measures, such as quarantine and isolation when warranted, wearing a well-fitted mask when recommended after a positive test or known exposure, and staying up to date with vaccination,** can help reduce the spread of COVID-19. Further, providing reliable and low-cost or free at-home test kits to underserved populations with otherwise limited access to COVID-19 testing could assist with continued prevention efforts.

摘要

COVID-19 检测可提供有关接触和传播风险的信息,指导预防措施(例如,何时开始和结束隔离和检疫),确定适当治疗的机会,并有助于评估疾病流行率 (1)。用于检测 SARS-CoV-2(引起 COVID-19 的病毒)的家用快速 COVID-19 抗原检测(家用检测)是实验室基于诊断核酸扩增检测(NAAT)的便捷且易于获得的替代方法 (2-4)。2021 年,SARS-CoV-2 B.1.617.2(Delta)和 B.1.1.529(Omicron)变体的出现增加了对家用检测的需求 (5)。家用检测通常用于学校或雇主授权的检测,以及用于在 COVID-19 样疾病或接触后确认 SARS-CoV-2 感染 (6)。授权的 COVID-19 报告要求不包括家用检测,并且测试人员或制造商没有与适当的卫生官员共享结果的标准流程 (2)。因此,随着 COVID-19 家用检测的使用增加,基于实验室的报告系统可能会越来越少地报告实际感染发生率。这项横断面、非概率在线调查(2021 年 8 月 23 日至 2022 年 3 月 12 日)的数据来自美国≥18 岁成年人,用于估计随着时间的推移自我报告的家用检测使用情况,以及按人口统计学特征、地理位置、症状/综合征和检测原因进行估计。从 Delta 为主的时期(2021 年 8 月 23 日至 2021 年 12 月 11 日)到 Omicron 为主的时期(2021 年 12 月 19 日至 2022 年 3 月 12 日)(7),自我报告 COVID-19 样疾病的受访者中,家用检测使用量从 5.7%增加到 20.1%,增加了两倍多。在家中使用检测的人最常报告的两个原因是 COVID-19 暴露(39.4%)和 COVID-19 样症状(28.9%)。在家中进行检测的情况因种族(例如,自我认定为白人[5.9%]与自我认定为黑人[2.8%])、年龄(30-39 岁的成年人[6.4%]与≥75 岁的成年人[3.6%])、家庭收入(>$150,000[9.5%]与$50,000-$74,999[4.7%])、教育程度(研究生学历[8.4%]与高中或以下学历[3.5%])和地理位置(新英格兰地区[9.6%]与西南中部地区[3.7%])而异。COVID-19 检测,包括家用检测,以及预防措施,如在有必要时进行隔离和检疫、在阳性检测或已知接触后建议佩戴合适的口罩以及及时接种疫苗**,可以帮助减少 COVID-19 的传播。此外,为服务不足的人群提供可靠且成本低廉或免费的家用检测试剂盒,这些人群获得 COVID-19 检测的机会有限,这可能有助于继续开展预防工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0485/8979595/344fe1cffb54/mm7113e1-F.jpg

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