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      COVID-19 Testing to Sustain In-Person Instruction and Extracurricular Activities in High Schools — Utah, November 2020–March 2021

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          COVID-19, school closures, and child poverty: a social crisis in the making

          While coronavirus disease 2019 (COVID-19) continues to spread across the globe, many countries have decided to close schools as part of a physical distancing policy to slow transmission and ease the burden on health systems. The UN Educational, Scientific and Cultural Organization estimates that 138 countries have closed schools nationwide, and several other countries have implemented regional or local closures. These school closures are affecting the education of 80% of children worldwide. Although scientific debate is ongoing with regard to the effectiveness of school closures on virus transmission, 1 the fact that schools are closed for a long period of time could have detrimental social and health consequences for children living in poverty, and are likely to exacerbate existing inequalities. We discuss two mechanisms through which school closures will affect poor children in the USA and Europe. First, school closures will exacerbate food insecurity. For many students living in poverty, schools are not only a place for learning but also for eating healthily. Research shows that school lunch is associated with improvements in academic performance, whereas food insecurity (including irregular or unhealthy diets) is associated with low educational attainment and substantial risks to the physical health and mental wellbeing of children.2, 3 The number of children facing food insecurity is substantial. According to Eurostat, 6·6% of households with children in the European Union—5·5% in the UK—cannot afford a meal with meat, fish, or a vegetarian equivalent every second day. Comparable estimates in the USA suggest that 14% of households with children had food insecurity in 2018. 4 Second, research suggests that non-school factors are a primary source of inequalities in educational outcomes. The gap in mathematical and literacy skills between children from lower and higher socioeconomic backgrounds often widens during school holiday periods. 5 The summer holiday in most American schools is estimated to contribute to a loss in academic achievement equivalent to one month of education for children with low socioeconomic status; however, this effect is not observed for children with higher socioeconomic status. 6 Summer holidays are also associated with a setback in mental health and wellbeing for children and adolescents. 7 Although the current school closures differ from summer holidays in that learning is expected to continue digitally, the closures are likely to widen the learning gap between children from lower-income and higher-income families. Children from low-income households live in conditions that make home schooling difficult. Online learning environments usually require computers and a reliable internet connection. In Europe, a substantial number of children live in homes in which they have no suitable place to do homework (5%) or have no access to the internet (6·9%). Furthermore, 10·2% of children live in homes that cannot be heated adequately, 7·2% have no access to outdoor leisure facilities, and 5% do not have access to books at the appropriate reading level. 8 In the USA, an estimated 2·5% of students in public schools do not live in a stable residence. In New York city, where a large proportion of COVID-19 cases in the USA have been observed, one in ten students were homeless or experienced severe housing instability during the previous school year. 9 While learning might continue unimpeded for children from higher income households, children from lower income households are likely to struggle to complete homework and online courses because of their precarious housing situations. Beyond the educational challenges, however, low-income families face an additional threat: the ongoing pandemic is expected to lead to a severe economic recession. Previous recessions have exacerbated levels of child poverty with long-lasting consequences for children's health, wellbeing, and learning outcomes. 10 Policy makers, school administrators, and other local officials thus face two challenges. First, the immediate nutrition and learning needs of poor students must continue to be addressed. The continuation of school-provided meals is essential in preventing widespread food insecurity. Teachers should also consider how to adapt their learning materials for students without access to wireless internet, a computer, or a place to study. Second, local and national legislators must prepare for the considerable challenges that await when the pandemic subsides. At the local level, an adequate response must include targeted education and material support for children from low-income households to begin to close the learning gap that is likely to have occurred. From a policy perspective, legislators should consider providing regular income support for households with children during the impending economic crisis to prevent a deepening and broadening of child poverty. Without such action, the current health crisis could become a social crisis that will have long-lasting consequences for children in low-income families.
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            Assessment of SARS-CoV-2 Screening Strategies to Permit the Safe Reopening of College Campuses in the United States

            Key Points Question What screening and isolation programs for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) will keep students at US residential colleges safe and permit the reopening of campuses? Findings This analytic modeling study of a hypothetical cohort of 4990 college-age students without SARS-CoV-2 infection and 10 students with undetected asymptomatic cases of SARS-CoV-2 infection suggested that frequent screening (every 2 days) of all students with a low-sensitivity, high-specificity test might be required to control outbreaks with manageable isolation dormitory utilization at a justifiable cost. Meaning In this modeling study, symptom-based screening alone was not sufficient to contain an outbreak, and the safe reopening of campuses in fall 2020 may require screening every 2 days, uncompromising vigilance, and continuous attention to good prevention practices.
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              Evaluation of Abbott BinaxNOW Rapid Antigen Test for SARS-CoV-2 Infection at Two Community-Based Testing Sites — Pima County, Arizona, November 3–17, 2020

              On January 19, 2021, this report was posted online as an MMWR Early Release. Rapid antigen tests, such as the Abbott BinaxNOW COVID-19 Ag Card (BinaxNOW), offer results more rapidly (approximately 15–30 minutes) and at a lower cost than do highly sensitive nucleic acid amplification tests (NAATs) ( 1 ). Rapid antigen tests have received Food and Drug Administration (FDA) Emergency Use Authorization (EUA) for use in symptomatic persons ( 2 ), but data are lacking on test performance in asymptomatic persons to inform expanded screening testing to rapidly identify and isolate infected persons ( 3 ). To evaluate the performance of the BinaxNOW rapid antigen test, it was used along with real-time reverse transcription–polymerase chain reaction (RT-PCR) testing to analyze 3,419 paired specimens collected from persons aged ≥10 years at two community testing sites in Pima County, Arizona, during November 3–17, 2020. Viral culture was performed on 274 of 303 residual real-time RT-PCR specimens with positive results by either test (29 were not available for culture). Compared with real-time RT-PCR testing, the BinaxNOW antigen test had a sensitivity of 64.2% for specimens from symptomatic persons and 35.8% for specimens from asymptomatic persons, with near 100% specificity in specimens from both groups. Virus was cultured from 96 of 274 (35.0%) specimens, including 85 (57.8%) of 147 with concordant antigen and real-time RT-PCR positive results, 11 (8.9%) of 124 with false-negative antigen test results, and none of three with false-positive antigen test results. Among specimens positive for viral culture, sensitivity was 92.6% for symptomatic and 78.6% for asymptomatic individuals. When the pretest probability for receiving positive test results for SARS-CoV-2 is elevated (e.g., in symptomatic persons or in persons with a known COVID-19 exposure), a negative antigen test result should be confirmed by NAAT ( 1 ). Despite a lower sensitivity to detect infection, rapid antigen tests can be an important tool for screening because of their quick turnaround time, lower costs and resource needs, high specificity, and high positive predictive value (PPV) in settings of high pretest probability. The faster turnaround time of the antigen test can help limit transmission by more rapidly identifying infectious persons for isolation, particularly when used as a component of serial testing strategies. Paired upper respiratory swabs were collected at the same timepoint from persons aged ≥10 years receiving testing for SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), at two Pima County Health Department community testing sites during November 3–17 (site A) and November 8–16 (site B). The sites offered SARS-CoV-2 testing to anyone in the community who wanted testing. A questionnaire capturing demographic information and current and past–14-day symptoms was administered to all participants. At both sites, a health care professional first collected a bilateral anterior nasal swab, using a swab provided in the BinaxNOW kit, immediately followed by a bilateral nasopharyngeal (NP) swab for real-time RT-PCR testing. Anterior nasal swabs were immediately tested on-site using the BinaxNOW antigen test according to the manufacturer's instructions ( 4 ). NP swabs were stored in phosphate buffered saline at 39°F (4°C) and analyzed within 24–48 hours by real-time RT-PCR using either the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel for detection of SARS-CoV-2 ( 5 ) (2,582 swabs) or the Fosun COVID-19 RT-PCR Detection Kit ( 6 ) (837 swabs). Viral culture* , † was attempted on 274 of 303 residual real-time RT-PCR specimens if either the real-time RT-PCR or BinaxNOW antigen test result was positive (the remaining 29 were not available for viral culture). Results from real-time RT-PCR and the BinaxNOW antigen test were compared to evaluate sensitivity, specificity, negative predictive value (NPV), and PPV. Statistical analyses were performed using SAS (version 9.4; SAS Institute). Cycle threshold (Ct) values from real-time RT-PCR were compared using a Mann-Whitney U Test; 95% confidence intervals (CIs) were calculated using the exact binomial method. The investigation protocol was reviewed by CDC and determined to be nonresearch and was conducted consistent with applicable federal law and CDC policy.§ Paired upper respiratory swabs were collected from 3,419 persons, including 1,458 (42.6%) from site A and 1,961 (57.4%) from site B (Table 1). Participants ranged in age from 10 to 95 years (median = 41 years) with 236 (6.9%) aged 10–17 years, 1,885 (55.1%) aged 18–49 years, 743 (21.7%) aged 50–64 years, and 555 (16.2%) aged ≥65 years. Approximately one third (31.4%) of participants identified as Hispanic or Latino, and three quarters (75.1%) identified as White. TABLE 1 Characteristics of persons providing paired upper respiratory swabs (N = 3,419)* for the Abbott BinaxNOW COVID-19 Ag Card Point of Care Diagnostic Test and real-time reverse transcription–polymerase chain reation (RT-PCR) testing † for SARS-CoV-2 at two community-based testing sites, by test results — Pima County, Arizona, November 2020 Characteristic Total no. of persons (column %) No. of persons (row %)§ Antigen-positive Real-time RT-PCR–positive Real-time RT-PCR–positive, antigen-negative Real-time RT-PCR–negative, antigen-positive Total 3,419 (100) 161 (4.7) 299 (8.7) 142 (4.2) 4 (0.1) Testing site A 1,458 (42.6) 72 (4.9) 145 (9.9) 74 (5.1) 1 (0.1) B 1,961 (57.4) 89 (4.5) 154 (7.9) 68 (3.5) 3 (0.2) Sex Male 1,290 (37.7) 74 (5.7) 138 (10.7) 65 (5.0) 1 (0.1) Female 1,681 (49.2) 76 (4.5) 127 (7.6) 54 (3.2) 3 (0.2) Undisclosed 448 (13.1) 11 (2.5) 34 (7.6) 23 (5.1) 0 (—) Ethnicity Hispanic/Latino 1,075 (31.4) 86 (8.0) 150 (14.0) 65 (6.0) 1 (0.1) Not Hispanic or Latino 1,930 (56.4) 63 (3.3) 118 (6.1) 58 (3.0) 3 (0.2) Undisclosed 414 (12.1) 12 (2.9) 31 (7.5) 19 (4.6) 0 (—) Race White 2,567 (75.1) 110 (4.3) 204 (7.9) 98 (3.8) 4 (0.2) Black/African American 83 (2.4) 3 (3.6) 8 (9.6) 5 (6.0) 0 (—) American Indian/Alaska Native 69 (2.0) 1 (1.4) 2 (2.9) 1 (1.4) 0 (—) Asian 84 (2.5) 4 (4.8) 10 (11.9) 6 (7.1) 0 (—) Native Hawaiian/Pacific Islander 24 (0.7) 1 (4.2) 1 (4.2) 0 (—) 0 (—) Undisclosed 592 (17.3) 42 (7.1) 74 (12.5) 32 (5.4) 0 (—) Age group, yrs 10–17 236 (6.9) 10 (4.2) 22 (9.3) 13 (5.5) 1 (0.4) 18–49 1,885 (55.1) 91 (4.8) 178 (9.4) 89 (4.7) 2 (0.1) 50–64 743 (21.7) 41 (5.5) 69 (9.3) 29 (3.9) 1 (0.1) ≥65 555 (16.2) 19 (3.4) 30 (5.4) 11 (2.0) 0 (—) Median age (range) 41 (10–95) 40 (13–84) 38 (11–84) 35 (11–83) 27 (16–63) Current symptoms¶ ≥1 827 (24.2) 113 (13.7) 176 (21.3) 63 (7.6) 0 (—) None 2,592 (75.8) 48 (1.9) 123 (4.7) 79 (3.0) 4 (0.2) Days from symptom onset** Median (range) 4 (0–210) 3 (0–14) 4 (0–45) 4 (0–45) 2 (0–12) 0–3 382 (11.2) 59 (15.4) 84 (22.0) 25 (6.5) 0 (—) 4–7 280 (8.2) 42 (15.0) 58 (20.7) 16 (5.7) 0 (—) 8–10 43 (1.3) 6 (14.0) 12 (27.9) 6 (14.0) 0 (—) 11–14 63 (1.8) 6 (9.5) 16 (25.4) 10 (15.9) 0 (—) >14 55 (1.6) 0 (—) 6 (10.9) 6 (10.9) 0 (—) ≤7 662 (19.4) 101 (15.3) 142 (21.5) 41 (6.2) 0 (—) Exposure to a diagnosed COVID-19 case†† Yes 1,138 (33.3) 93 (8.2) 162 (14.2) 71 (6.2) 2 (0.2) No/Unknown 2,281 (66.7) 68 (3.0) 137 (6.0) 71 (3.1) 2 (0.1) Days since last exposure, median (range) 5 (0–14) 4 (0–14) 3 (0–14) 1 (0–14) 9 (4–14) Positive test results in past 90 days§§ Yes 179 (5.2) 22 (12.3) 83 (46.4) 62 (34.6) 1 (14.3) No/Unknown 3,239 (94.7) 139 (4.3) 216 (6.7) 80 (2.5) 3 (42.9) Abbreviation: COVID-19 = coronavirus disease 2019. * Includes 113 persons who received testing multiple times and were included more than once in the analysis. † Testing with real-time RT-PCR was performed using the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel for detection of SARS-CoV-2 (2,582 participants) or Fosun assay (837 participants). § Only selected categories shown; therefore, row numbers and percentages do not sum to total or 100%. ¶ Participants were asked whether they had each individual sign or symptom from a list based on the Council of State and Territorial Epidemiologists’ clinical criteria for COVID-19 interim case definition, which include fever, cough, shortness of breath, fatigue, sore throat, headache, muscle aches, chills, nasal congestion, difficulty breathing, diarrhea, nausea, vomiting, abdominal pain, rigors, loss of taste, and loss of smell (https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/positionstatement2020/Interim-20-ID-02_COVID-19.pdf). ** Based on one or more symptoms. †† Exposure was defined as close contact (within 6 ft for ≥15 min) in the 14 days before the day of testing with a person with diagnosed COVID-19. §§ Received positive real-time RT-PCR or antigen test result. At the time of testing, 827 (24.2%) participants reported at least one COVID-19–compatible sign or symptom, ¶ and 2,592 (75.8%) were asymptomatic. Among symptomatic participants, 113 (13.7%) received a positive BinaxNOW antigen test result, and 176 (21.3%) received a positive real-time RT-PCR test result. Among asymptomatic participants, 48 (1.9%) received a positive BinaxNOW antigen test result, and 123 (4.7%) received a positive real-time RT-PCR test result. Testing among symptomatic participants indicated the following for the BinaxNOW antigen test (with real-time RT-PCR as the standard): sensitivity, 64.2%; specificity, 100%; PPV, 100%; and NPV, 91.2% (Table 2); among asymptomatic persons, sensitivity was 35.8%; specificity, 99.8%; PPV, 91.7%; and NPV, 96.9%. For participants who were within 7 days of symptom onset, the BinaxNOW antigen test sensitivity was 71.1% (95% CI = 63.0%–78.4%), specificity was 100% (95% CI = 99.3%–100%), PPV was 100% (95% CI = 96.4%–100%), and NPV was 92.7% (95% CI = 90.2%–94.7%). Using real-time RT-PCR as the standard, four false-positive BinaxNOW antigen test results occurred, all among specimens from asymptomatic participants. Among 299 real-time RT-PCR positive results, 142 (47.5%) were false-negative BinaxNOW antigen test results (63 in specimens from symptomatic persons and 79 in specimens from asymptomatic persons). TABLE 2 Test results and performance characteristics of the Abbott BinaxNOW COVID-19 Ag Card Point of Care Diagnostic Test (BinaxNOW antigen test) compared with real-time reverse transcription–polymerase chain reaction (RT-PCR) for testing received among asymptomatic and symptomatic persons at two community-based testing sites — Pima County, Arizona, November 2020 Results and Performance Real-time RT-PCR, no. of tests Positive Negative Total BinaxNOW antigen test result All participants (N = 3,419) Positive 157 4 161 Negative 142 3,116 3,258 Total 299 3,120 3,419 Symptomatic (≥1 symptom) (n = 827) Positive 113 0 113 Negative 63 651 714 Total 176 651 827 Asymptomatic (n = 2,592) Positive 44 4 48 Negative 79 2,465 2,544 Total 123 2,469 2,592 BinaxNOW antigen test performance, % (95% CI) All participants (N = 3,149) Sensitivity 52.5 (46.7–58.3) Specificity 99.9 (99.7–100.0) PPV 97.5 (93.8–99.3) NPV 95.6 (94.9–96.3) Symptomatic (n = 827) Sensitivity 64.2 (56.7–71.3) Specificity 100.0 (99.4–100.0) PPV 100.0 (96.8–100.0) NPV 91.2 (88.8–93.1) Asymptomatic (n = 2,592) Sensitivity 35.8 (27.3–44.9) Specificity 99.8 (99.6–100.0) PPV 91.7 (80–7.7) NPV 96.9 (96.1–97.5) Abbreviations: CI = confidence interval; COVID-19 = coronavirus disease 2019; NPV = negative predictive value; PPV = positive predictive value. Virus was recovered from 96 (35.0%) of 274 analyzed specimens that were positive by either test, including 85 (57.8%) of 147 with concordant positive results and 11 (8.9%) of 124 with false-negative BinaxNOW antigen test results. Virus was not recovered from any of the three available specimens with false-positive BinaxNOW antigen test results. Among the 224 specimens undergoing viral culture that were analyzed with the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel for detection of SARS-CoV-2, median Ct values** were significantly higher for specimens with false-negative BinaxNOW antigen test results, indicating lower viral RNA levels than in those with concordant positive results (33.9 versus 22.0 in specimens from symptomatic persons [p<0.001] and 33.9 versus 22.5 in specimens from asymptomatic persons [p<0.001]) (Figure). Median Ct values for SARS-CoV-2 culture-positive specimens (22.1) were significantly lower than were those for culture-negative specimens (32.8) (p<0.001), indicating higher levels of viral RNA in culture-positive specimens. Among specimens with positive viral culture, the sensitivity of the BinaxNOW antigen test compared with real-time RT-PCR in specimens from symptomatic participants was 92.6% (95% CI = 83.7%–97.6%) and in those from asymptomatic participants was 78.6% (95% CI = 59.1%–91.7%). FIGURE Abbott BinaxNOW COVID-19 Ag Card Point of Care Diagnostic Test (antigen test) results, N1 cycle threshold (Ct) values,* and viral culture results † among A) symptomatic (N = 136) § and B) asymptomatic (N = 88) ¶ participants receiving positive SARS-CoV-2 real-time reverse transcription–polymerase chain reaction (RT-PCR) test results at two community-based testing sites — Pima County, Arizona, November 2020 * Only those specimens that were analyzed using the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel for detection of SARS-CoV-2 and that were analyzed using viral culture are included in the graph. † Twenty specimens with Ct values <18 had positive antigen and real-time RT-PCR results but were culture negative. The culture showed evidence of cytopathic effects and had presence of SARS-CoV-2 RNA as detected by real-time RT-PCR in the first passage culture, but viral recovery was not two Ct values lower than the corresponding clinical specimen Ct. § Antigen test results: 88 positive and 48 negative; median Ct values indicated with black line: 22.0 for antigen-positive specimens and 33.9 for antigen-negative specimens. ¶ Antigen test results: 37 positive and 51 negative; median Ct values indicated with black line: 22.5 for antigen-positive specimens and 33.9 for antigen-negative specimens. The figure consists of individual-value plots showing BinaxNOW antigen test results, N1 cycle threshold values, and viral culture results among 136 symptomatic and 88 asymptomatic participants receving positive SARS-CoV-2 real-time real-time reverse transcription–polymerase chain reaction test results at two community-based testing sites in Pima County, Arizona, during November 2020 Discussion In this evaluation, using real-time RT-PCR as the standard, the sensitivity of the BinaxNOW antigen test was lower among specimens from asymptomatic persons (35.8%) than among specimens from symptomatic persons (64.2%). Specificity (99.8%–100%) was high in specimens from both asymptomatic and symptomatic groups. The prevalence of having SARS-CoV-2 real-time RT-PCR positive test results in this population was moderate (8.7% overall; 4.7% for asymptomatic participants); administering the test in a lower prevalence setting will likely result in a lower PPV. †† Among 11 participants with antigen-negative, real-time RT-PCR–positive specimens with positive viral culture, five were symptomatic and six asymptomatic. Some antigen-negative, real-time RT-PCR–positive specimens possibly could represent noninfectious viral particles, but some might also represent infectious virus not detected by the antigen test. In a clinical context, real-time RT-PCR provides the most sensitive assay to detect infection. Viral culture, although more biologically relevant than real-time RT-PCR, is still an artificial system and is subject to limitations. Numerous biological (e.g., individual antibody status and specific sequence of the virus) and environmental (e.g., storage conditions and number of freeze-thaw cycles) variables can affect the sensitivity and outcome of viral culture. Despite the limitations of interpreting culture-negative specimens, a positive viral culture is strong evidence for the presence of infectious virus. The performance of the BinaxNOW antigen test compared with real-time RT-PCR was better for those specimens with positive viral culture than for all specimens, with a sensitivity of 92.6% for specimens from symptomatic persons and 78.6% for those from asymptomatic persons. The results of the current evaluation differ from those of an evaluation of the BinaxNOW antigen test in a community screening setting in San Francisco ( 7 ), which found a BinaxNOW antigen test overall sensitivity of 89.0% among specimens from all 3,302 participants, regardless of the Ct value of the real-time RT-PCR–positive specimens. The findings in this investigation are subject to at least five limitations. First, anterior nasal swabs were used for BinaxNOW antigen testing, but NP swabs were used for real-time RT-PCR testing, which might have contributed to increased detection for the real-time RT-PCR assay ( 8 ). Second, participants might have inadvertently reported common nonspecific symptoms as COVID-19–compatible symptoms. Third, this investigation evaluated the BinaxNOW antigen test, and results presented here cannot be generalized to other FDA-authorized SARS-CoV-2 antigen tests. Fourth, the BinaxNOW antigen test characteristics might be different depending on whether an individual had previously tested positive. Finally, many factors might limit the ability to culture virus from a specimen, and the inability to detect culturable virus should not be interpreted to mean that a person is not infectious. Public health departments are implementing various strategies to reduce or prevent SARS-CoV-2 transmission, including expanded screening testing for asymptomatic persons ( 3 ). Because estimates suggest that over 50% of transmission occurs from persons who are presymptomatic or asymptomatic ( 9 ), expanded screening testing, potentially in serial fashion for reducing transmission in specific venues (e.g., institutions of higher education, schools, and congregate housing settings), is essential to interrupting transmission ( 3 ). Rapid antigen tests can be an important tool for screening because of their quick turnaround time, lower requirement for resources, high specificity, and high PPV in settings of high pretest probability (e.g., providing testing to symptomatic persons, to persons with a known COVID-19 exposure, or where community transmission is high). Importantly, the faster time from testing to results reporting can speed isolation of infectious persons and will be particularly important in communities with high levels of transmission. Although the sensitivity of the BinaxNOW antigen test to detect infection was lower compared with real-time RT-PCR, it was relatively high among specimens with positive viral culture, which might reflect better performance for detecting infection in a person with infectious virus present. Community testing strategies focused on preventing transmission using antigen testing should consider serial testing (e.g., in kindergarten through grade 12 schools, institutions of higher education, or congregate housing settings), which might improve test sensitivity in decting infection ( 10 ). When the pretest probability for receiving positive SARS-CoV-2 test results is elevated (e.g. for symptomatic persons or for persons with a known COVID-19 exposure) a negative antigen test result should be confirmed by NAAT. Asymptomatic persons who receive a positive BinaxNOW antigen test result in a setting with a high risk for adverse consequences resulting from false-positive results (e.g. in long-term care facilities) should also receive confirmatory testing by NAAT ( 1 ). Despite their reduced sensitivity to detect infection compared with real-time RT-PCR, antigen tests might be particularly useful when real-time RT-PCR tests are not readily available or have prolonged turnaround times. Persons who know their positive test result within 15–30 minutes can isolate sooner, and contact tracing can be initiated sooner and be more effective than if a test result is returned days later. Serial antigen testing can improve detection, but consideration should be given to the logistical and personnel resources needed. All persons receiving negative test results (NAAT or antigen) should be counseled that wearing a mask, avoiding close contact with persons outside their household, and washing hands frequently remain critical to preventing the spread of COVID-19. §§ Summary What is already known about this topic? The BinaxNOW rapid antigen test received Emergency Use Authorization by the Food and Drug Administration for testing specimens from symptomatic persons; performance among asymptomatic persons is not well characterized. What is added by this report? Sensitivity of the BinaxNOW antigen test, compared with polymerase chain reaction testing, was lower when used to test specimens from asymptomatic (35.8%) than from symptomatic (64.2%) persons, but specificity was high. Sensitivity was higher for culture-positive specimens (92.6% and 78.6% for those from symptomatic and asymptomatic persons, respectively); however, some antigen test-negative specimens had culturable virus. What are the implications for public health practice? The high specificity and rapid BinaxNOW antigen test turnaround time facilitate earlier isolation of infectious persons. Antigen tests can be an important tool in an overall community testing strategy to reduce transmission.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb Mortal Wkly Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                28 May 2021
                28 May 2021
                : 70
                : 21
                : 785-791
                Affiliations
                Utah Department of Health; Utah State Board of Education; Utah School Superintendents Association, Sandy, Utah; CDC COVID-19 Response Team; Department of Pediatrics, Division of Infectious Diseases, University of Utah, Salt Lake City, Utah.
                Author notes
                Corresponding author: Kendra D. Babitz, kbabitz@ 123456utah.gov .
                Article
                mm7021e2
                10.15585/mmwr.mm7021e2
                8158889
                34043614
                13549cae-6b06-4624-b3f4-a9182b181d5c

                All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated.

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