Search

During November 19-21, 2021, an indoor convention (event) in New York City (NYC), was attended by approximately 53,000 persons from 52 U.S. jurisdictions and 30 foreign countries. In-person registration for the event began on November 18, 2021. The venue was equipped with high efficiency particulate air (HEPA) filtration, and attendees were required to wear a mask indoors and have documented receipt of at least 1 dose of a COVID-19 vaccine.* On December 2, 2021, the Minnesota Department of Health reported the first case of community-acquired COVID-19 in the United States caused by the SARS-CoV-2 B.1.1.529 (Omicron) variant in a person who had attended the event (1). CDC collaborated with state and local health departments to assess event-associated COVID-19 cases and potential exposures among U.S.-based attendees using data from COVID-19 surveillance systems and an anonymous online attendee survey. Among 34,541 attendees with available contact information, surveillance data identified test results for 4,560, including 119 (2.6%) persons from 16 jurisdictions with positive SARS-CoV-2 test results. Most (4,041 [95.2%]), survey respondents reported always wearing a mask while indoors at the event. Compared with test-negative respondents, test-positive respondents were more likely to report attending bars, karaoke, or nightclubs, and eating or drinking indoors near others for at least 15 minutes. Among 4,560 attendees who received testing, evidence of widespread transmission during the event was not identified. Genomic sequencing of 20 specimens identified the SARS-CoV-2 B.1.617.2 (Delta) variant (AY.25 and AY.103 sublineages) in 15 (75%) cases, and the Omicron variant (BA.1 sublineage) in five (25%) cases. These findings reinforce the importance of implementing multiple, simultaneous prevention measures, such as ensuring up-to-date vaccination, mask use, physical distancing, and improved ventilation in limiting SARS-CoV-2 transmission, during large, indoor events.

University settings have demonstrated potential for coronavirus disease (COVID-19) outbreaks; they combine congregate living, substantial social activity, and a young population predisposed to mild illness. Using genomic and epidemiologic data, we describe a COVID-19 outbreak at the University of Wisconsin-Madison, Madison, Wisconsin, USA. During August-October 2020, a total of 3,485 students, including 856/6,162 students living in dormitories, tested positive. Case counts began rising during move-in week, August 25-31, 2020, then rose rapidly during September 1-11, 2020. The university initiated multiple prevention efforts, including quarantining 2 dormitories; a subsequent decline in cases was observed. Genomic surveillance of cases from Dane County, in which the university is located, did not find evidence of transmission from a large cluster of cases in the 2 quarantined dorms during the outbreak. Coordinated implementation of prevention measures can reduce COVID-19 spread in university settings and may limit spillover to the surrounding community.

Youth aged 15–24 years comprise 48% of new HIV infections and 15% of persons living with HIV in Kisumu County, Kenya. We assessed factors associated with HIV infection among youth participating in the Community Health Initiative (CHI) implemented in an urban informal settlement in 2018. Predictors of HIV infection were assessed by multivariable logistic regression. CHI engaged 4,441 youth through community health campaigns and home-based HIV testing. HIV prevalence was 3.5% overall and 7.1% among young women aged 20–24. There were 24 youth newly identified as HIV-positive out of 157 total HIV-positive youth. HIV-positive status was positively associated with being female (aOR = 2.46; 95% CI 1.57, 3.84) and aged 20–24 (aOR = 2.40; 95% CI 1.52, 3.79), and inversely associated with secondary school education or higher (aOR = 0.27; 95% CI 0.16, 0.44). Our findings highlight the need for HIV prevention programs specially tailored for youth to further reduce new HIV infections in this priority population.

Long-term symptoms often associated with COVID-19 (post-COVID conditions or long COVID) are an emerging public health concern that is not well understood. Prevalence of post-COVID conditions has been reported among persons who have had COVID-19 (range = 5%-80%), with differences possibly related to different study populations, case definitions, and data sources (1). Few studies of post-COVID conditions have comparisons with the general population of adults with negative test results for SARS-CoV-2, the virus that causes COVID-19, limiting ability to assess background symptom prevalence (1). CDC used a nonprobability-based Internet panel established by Porter Novelli Public Services* to administer a survey to a nationwide sample of U.S. adults aged ≥18 years to compare the prevalence of long-term symptoms (those lasting >4 weeks since onset) among persons who self-reported ever receiving a positive SARS-CoV-2 test result with the prevalence of similar symptoms among persons who reported always receiving a negative test result. The weighted prevalence of ever testing positive for SARS-CoV-2 was 22.2% (95% confidence interval [CI] = 20.6%-23.8%). Approximately two thirds of respondents who had received a positive test result experienced long-term symptoms often associated with SARS-CoV-2 infection. Compared with respondents who received a negative test result, those who received a positive test result reported a significantly higher prevalence of any long-term symptom (65.9% versus 42.9%), fatigue (22.5% versus 12.0%), change in sense of smell or taste (17.3% versus 1.7%), shortness of breath (15.5% versus 5.2%), cough (14.5% versus 4.9%), headache (13.8% versus 9.9%), and persistence (>4 weeks) of at least one initially occurring symptom (76.2% versus 69.6%). Compared with respondents who received a negative test result, a larger proportion of those who received a positive test result reported believing that receiving a COVID-19 vaccine made their long-term symptoms better (28.7% versus 15.7%). Efforts to address post-COVID conditions should include helping health care professionals recognize the most common post-COVID conditions and optimize care for patients with persisting symptoms, including messaging on potential benefits of COVID-19 vaccination.

Background COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged Methods We conducted a case-control study among NYC residents aged 21–64 years hospitalized with COVID-19 diagnosed March 13–April 9, 2020, to determine risk factors for death. Case-patients (n=343) were hospitalized decedents with COVID-19 and control-patients (n=686) were discharged from hospitalization with COVID-19 and matched 2:1 to case-patients on age and residential neighborhood. Conditional logistic regression models were adjusted for patient sex, insurance status, and marital status. Matched adjusted odds ratios (aORs) were calculated for selected underlying conditions, combinations of conditions, and race/ethnic group. Results Median age of both case-patients and control-patients was 56 years (range: 23–64 years). Having ≥ 1 selected underlying condition increased odds of death 4.45-fold (95% CI: 2.33–8.49). Patients with diabetes; morbid obesity; heart, kidney, or lung disease; cancer; neurologic/neurodevelopmental conditions; mental health conditions; or HIV had significantly increased odds of death. Compared with having neither condition, having both diabetes and obesity or diabetes and heart disease was associated with approximately threefold odds of death. Five select underlying conditions were more prevalent among non-Hispanic Black control-patients than among control-patients of other races/ethnicities. Conclusions and Relevance Selected underlying conditions were risk factors for death, and most prevalent among racial/ethnic minorities. Social services; health care resources, including vaccination; and tailored public health messaging are important for COVID-19 prevention. Strengthening these strategies for racial/ethnic minority groups could minimize COVID-19 racial/ethnic disparities.

Background Real-time reverse transcription polymerase chain reaction (rRT-PCR) and antigen tests are important diagnostics for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Sensitivity of antigen tests has been shown to be lower than that of rRT-PCR; however, data to evaluate epidemiologic characteristics that affect test performance are limited. Methods Paired mid-turbinate nasal swabs were collected from university students and staff and tested for SARS-CoV-2 using both Quidel Sofia SARS Antigen Fluorescent Immunoassay (FIA) and rRT-PCR assay. Specimens positive by either rRT-PCR or antigen FIA were placed in viral culture and tested for subgenomic RNA (sgRNA). Logistic regression models were used to evaluate characteristics associated with antigen results, rRT-PCR cycle threshold (Ct) values, sgRNA, and viral culture. Results Antigen FIA sensitivity was 78.9% and 43.8% among symptomatic and asymptomatic participants, respectively. Among rRT-PCR positive participants, negative antigen results were more likely among asymptomatic participants (odds ratio [OR] 4.6, 95% confidence interval [CI]: 1.3–15.4) and less likely among participants reporting nasal congestion (OR 0.1, 95% CI: .03–.8). rRT-PCR-positive specimens with higher Ct values (OR 0.5, 95% CI: .4–.8) were less likely, and specimens positive for sgRNA (OR 10.2, 95% CI: 1.6–65.0) more likely, to yield positive virus isolation. Antigen testing was >90% positive in specimens with Ct values Conclusions SARS-CoV-2 antigen test advantages include low cost, wide availability and rapid turnaround time, making them important screening tests. The performance of antigen tests may vary with patient characteristics, so performance characteristics should be accounted for when designing testing strategies and interpreting results.

Summary Background Some countries are struggling to reach the UNAIDS target of 90% of all individuals with HIV knowing their HIV status, especially among men and youth. To identify individuals who are unaware of their HIV-positive status and achieve testing saturation, we implemented a hybrid HIV testing approach in an urban informal settlement in western Kenya. In this study, we aimed to describe the uptake of HIV testing and linkage to care and treatment during this programme. Methods The Community Health Initiative involved community mapping, household census, multidisease community health campaigns, and home-based tracking in the informal settlement of Obunga in Kisumu, Kenya. 52 multidisease community health campaigns were held throughout the programme coverage area, at which HIV testing by certified testing service counsellors was one of the health services available. Individuals aged 15 years or older who were not previously identified as HIV-positive, children younger than 15 years who reported being sexually active or for whom testing was requested by a parent or guardian, and individuals who tested HIV-negative within the past 3 months but who reported a recent risk were all eligible for testing. Health and counselling services were tailored for men and youth to encourage their participation. Individuals identified during the census who did not attend a community health campaign were tracked using global positioning system data and offered home-based HIV testing services. We calculated the previously unidentified fraction, defined as the number of individuals who were newly identified as HIV-positive as a proportion of all individuals previously identified and newly identified as HIV-positive. Findings Between Jan 11 and Aug 29, 2018, the Community Health Initiative programme reached 23 584 individuals, of whom 11 526 (48·9%) were men and boys and 5635 (23·9%) were aged 15–24 years. Of 12 769 individuals who were eligible for HIV testing, 12 407 (97·2%) accepted testing, including 3917 (31·6%) first-time testers. 101 individuals were newly identified as HIV-positive out of 1248 total individuals who were HIV-positive, representing an 8·1% previously unidentified fraction. The previously unidentified fraction was highest among men (9·8%) and among people aged 15–24 years (15·3%). Interpretation Community-based hybrid HIV testing was successfully implemented in an urban setting. Innovative approaches that make HIV testing more accessible and acceptable, particularly to men and young people, are crucial for achieving testing and treatment saturation. Focusing on identifying individuals who are unaware of their HIV-positive status in combination with monitoring the previously unidentified fraction has the potential to achieve the UNAIDS Fast Track commitment to end AIDS by 2030. Funding US President's Emergency Plan for AIDS Relief through the US Centers for Disease Control and Prevention.

During 23 October–16 November 2020, the New York City Department of Health and Mental Hygiene investigated coronavirus disease 2019 (COVID-19) outbreaks at 2 construction sites. Challenges in adhering to the New York State Department of Health “Interim COVID-19 Guidance for Construction” were reported. To minimize outbreaks, jurisdictions should increase tailored outreach to the construction industry, emphasizing infection prevention.

To limit introduction of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), the United States restricted travel from China on February 2, 2020, and from Europe on March 13. To determine whether local transmission of SARS-CoV-2 could be detected, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) conducted deidentified sentinel surveillance at six NYC hospital emergency departments (EDs) during March 1-20. On March 8, while testing availability for SARS-CoV-2 was still limited, DOHMH announced sustained community transmission of SARS-CoV-2 (1). At this time, twenty-six NYC residents had confirmed COVID-19, and ED visits for influenza-like illness* increased, despite decreased influenza virus circulation.† The following week, on March 15, when only seven of the 56 (13%) patients with known exposure histories had exposure outside of NYC, the level of community SARS-CoV-2 transmission status was elevated from sustained community transmission to widespread community transmission (2). Through sentinel surveillance during March 1-20, DOHMH collected 544 specimens from patients with influenza-like symptoms (ILS)§ who had negative test results for influenza and, in some instances, other respiratory pathogens.¶ All 544 specimens were tested for SARS-CoV-2 at CDC; 36 (6.6%) tested positive. Using genetic sequencing, CDC determined that the sequences of most SARS-CoV-2-positive specimens resembled those circulating in Europe, suggesting probable introductions of SARS-CoV-2 from Europe, from other U.S. locations, and local introductions from within New York. These findings demonstrate that partnering with health care facilities and developing the systems needed for rapid implementation of sentinel surveillance, coupled with capacity for genetic sequencing before an outbreak, can help inform timely containment and mitigation strategies.

Youth aged 15-24 years comprise 48% of new HIV infections and 15% of persons living with HIV in Kisumu County, Kenya. We assessed factors associated with HIV infection among youth participating in the Community Health Initiative (CHI) implemented in an urban informal settlement in 2018. Predictors of HIV infection were assessed by multivariable logistic regression. CHI engaged 4,441 youth through community health campaigns and home-based HIV testing. HIV prevalence was 3.5% overall and 7.1% among young women aged 20-24. There were 24 youth newly identified as HIV-positive out of 157 total HIV-positive youth. HIV-positive status was positively associated with being female (aOR = 2.46; 95% CI 1.57, 3.84) and aged 20-24 (aOR = 2.40; 95% CI 1.52, 3.79), and inversely associated with secondary school education or higher (aOR = 0.27; 95% CI 0.16, 0.44). Our findings highlight the need for HIV prevention programs specially tailored for youth to further reduce new HIV infections in this priority population.

As of June 30, 2021, 33.5 million persons in the United States had received a diagnosis of COVID-19 (1). Although most patients infected with SARS-CoV-2, the virus that causes COVID-19, recover within a few weeks, some experience post-COVID-19 conditions. These range from new or returning to ongoing health problems that can continue beyond 4 weeks. Persons who were asymptomatic at the time of infection can also experience post-COVID-19 conditions. Data on post-COVID-19 conditions are emerging and information on rehabilitation needs among persons recovering from COVID-19 is limited. Using data acquired during January 2020-March 2021 from Select Medical* outpatient rehabilitation clinics, CDC compared patient-reported measures of health, physical endurance, and health care use between patients who had recovered from COVID-19 (post-COVID-19 patients) and patients needing rehabilitation because of a current or previous diagnosis of a neoplasm (cancer) who had not experienced COVID-19 (control patients). All patients had been referred to outpatient rehabilitation. Compared with control patients, post-COVID-19 patients had higher age- and sex-adjusted odds of reporting worse physical health (adjusted odds ratio [aOR] = 1.8), pain (aOR = 2.3), and difficulty with physical activities (aOR = 1.6). Post-COVID-19 patients also had worse physical endurance, measured by the 6-minute walk test† (6MWT) (p

BACKGROUND: Knowledge of HIV status is the entry point for linkage to prevention, care, and treatment, and the first step towards achieving the UNAIDS 90–90-90 targets. Most countries rely on proxies for estimating testing saturation, including periodic population-based sampling and yield (number positive among those tested). We conducted a community-based “Hybrid” HIV testing services (HTS) program to identify persons unaware of their HIV-positive status. SETTING: Homa Bay County, Kenya; July through September 2016 METHODS: We conducted community mapping, household census, multi-disease community health campaigns (CHCs), and home-based tracking. HIV testing eligibility was based on 2015 national guidelines. The previously-unidentified fraction (PUF) was defined as the proportion of newly-identified persons living with HIV (PLWH) out of all previously-identified and newly-identified PLWH. RESULTS: The Hybrid HTS program reached 28,885 persons in total: 25,340 residents and 3,545 non-residents. There were 19,288 persons reached through CHCs and tracking. Of 11,316 individuals eligible for HIV testing, 9,463 (83%) accepted testing, including 1,230 (13%) first-time testers. There were 115 newly-identified PLWH out of 1,589 total HIV-positive persons, representing a 7.2% PUF. Of 93 newly-identified PLWH at the CHCs, 68% initiated same-day antiretroviral therapy. CONCLUSION: The Hybrid HTS program identified persons previously unaware of their HIV-positive status, thereby enabling linkage to care and same-day treatment and reducing onward transmission risk. An approach focused on identifying persons unaware of their HIV-positive status in combination with ascertaining the PUF has the potential to better target testing strategies to identify >90% of PLWH in a community.

University settings have demonstrated potential for COVID-19 outbreaks, as they can combine congregate living, substantial social activity, and a young population predisposed to mild illness. Using genomic and epidemiologic data, we describe a COVID-19 outbreak at the University of Wisconsin (UW)–Madison. During August – October 2020, 3,485 students tested positive, including 856/6,162 students living in residence halls. Case counts began rising during move-in week for on-campus students (August 25-31, 2020), then rose rapidly during September 1-11, 2020. UW-Madison initiated multiple prevention efforts, including quarantining two residence halls; a subsequent decline in cases was observed. Genomic surveillance of cases from Dane County, where UW-Madison is located, did not find evidence of transmission from a large cluster of cases in the two residence halls quarantined during the outbreak. Coordinated implementation of prevention measures can effectively reduce SARS-CoV-2 spread in university settings and may limit spillover to the community surrounding the university.

As of April 19, 2021, 21.6 million COVID-19 cases had been reported among U.S. adults, most of whom had mild or moderate disease that did not require hospitalization (1). Health care needs in the months after COVID-19 diagnosis among nonhospitalized adults have not been well studied. To better understand longer-term health care utilization and clinical characteristics of nonhospitalized adults after COVID-19 diagnosis, CDC and Kaiser Permanente Georgia (KPGA) analyzed electronic health record (EHR) data from health care visits in the 28-180 days after a diagnosis of COVID-19 at an integrated health care system. Among 3,171 nonhospitalized adults who had COVID-19, 69% had one or more outpatient visits during the follow-up period of 28-180-days. Compared with patients without an outpatient visit, a higher percentage of those who did have an outpatient visit were aged ≥50 years, were women, were non-Hispanic Black, and had underlying health conditions. Among adults with outpatient visits, 68% had a visit for a new primary diagnosis, and 38% had a new specialist visit. Active COVID-19 diagnoses* (10%) and symptoms potentially related to COVID-19 (3%-7%) were among the top 20 new visit diagnoses; rates of visits for these diagnoses declined from 2-24 visits per 10,000 person-days 28-59 days after COVID-19 diagnosis to 1-4 visits per 10,000 person-days 120-180 days after diagnosis. The presence of diagnoses of COVID-19 and related symptoms in the 28-180 days following acute illness suggests that some nonhospitalized adults, including those with asymptomatic or mild acute illness, likely have continued health care needs months after diagnosis. Clinicians and health systems should be aware of post-COVID conditions among patients who are not initially hospitalized for acute COVID-19 disease.

Antigen-based tests for SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), are inexpensive and can return results within 15 minutes (1). Antigen tests have received Food and Drug Administration (FDA) Emergency Use Authorization (EUA) for use in asymptomatic and symptomatic persons within the first 5-12 days after symptom onset (2). These tests have been used at U.S. colleges and universities and other congregate settings (e.g., nursing homes and correctional and detention facilities), where serial testing of asymptomatic persons might facilitate early case identification (3-5). However, test performance data from symptomatic and asymptomatic persons are limited. This investigation evaluated performance of the Sofia SARS Antigen Fluorescent Immunoassay (FIA) (Quidel Corporation) compared with real-time reverse transcription-polymerase chain reaction (RT-PCR) for SARS-CoV-2 detection among asymptomatic and symptomatic persons at two universities in Wisconsin. During September 28-October 9, a total of 1,098 paired nasal swabs were tested using the Sofia SARS Antigen FIA and real-time RT-PCR. Virus culture was attempted on all antigen-positive or real-time RT-PCR-positive specimens. Among 871 (79%) paired swabs from asymptomatic participants, the antigen test sensitivity was 41.2%, specificity was 98.4%, and in this population the estimated positive predictive value (PPV) was 33.3%, and negative predictive value (NPV) was 98.8%. Antigen test performance was improved among 227 (21%) paired swabs from participants who reported one or more symptoms at specimen collection (sensitivity = 80.0%; specificity = 98.9%; PPV = 94.1%; NPV = 95.9%). Virus was isolated from 34 (46.6%) of 73 antigen-positive or real-time RT-PCR-positive nasal swab specimens, including two of 18 that were antigen-negative and real-time RT-PCR-positive (false-negatives). The advantages of antigen tests such as low cost and rapid turnaround might allow for rapid identification of infectious persons. However, these advantages need to be balanced against lower sensitivity and lower PPV, especially among asymptomatic persons. Confirmatory testing with an FDA-authorized nucleic acid amplification test (NAAT), such as RT-PCR, should be considered after negative antigen test results in symptomatic persons, and after positive antigen test results in asymptomatic persons (1).

COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged

Analysis of the gastric mucosa after long-term use of pantoprazole in patients with Zollinger Ellison syndrome or idiopathic hypersecretion