Dataset Information

Clinic- and Community-Based SARS-CoV-2 Testing Among People Experiencing Homelessness in the United States, March-November 2020.

ABSTRACT:

Objective

SARS-CoV-2 testing is a critical component of preventing the spread of COVID-19. In the United States, people experiencing homelessness (PEH) have accessed testing at health clinics, such as those provided through Health Care for the Homeless (HCH) clinics or through community-based testing events at homeless service sites or encampments. We describe data on SARS-CoV-2 testing among PEH in US clinic- and community-based settings from March through November 2020.

Methods

We conducted a descriptive analysis of data from HCH clinics and community testing events. We used a standardized survey to request data from HCH clinics. We developed and made publicly available an online data entry portal to collect data from community-based organizations that provided testing for PEH. We assessed positivity rates across clinics and community service sites serving PEH and used generalized linear mixed models to account for clustering.

Results

Thirty-seven HCH clinics reported providing 280 410 tests; 3.2% (n = 8880) had positive results (range, 1.6%-4.9%). By race, positivity rates were highest among people who identified as >1 race (11.6%; P < .001). During the reporting period, 22 states reported 287 community testing events and 14 116 tests; 7.1% (n = 1004) had positive results. Among facility types, day shelters (380 of 2697; 14.1%) and inpatient drug/alcohol rehabilitation facilities (32 of 251; 12.7%) reported the highest positivity rates.

Conclusions

While HCH clinic data provided results for a larger number of patients, community-based testing data showed higher positivity rates. Clinic data demonstrated racial disparities in positivity. Community-based testing data provided information about SARS-CoV-2 transmission settings. Although these data provide information about testing, standard surveillance systems are needed to better understand the incidence of disease among PEH.

SUBMITTER: Berner L

PROVIDER: S-EPMC9066227 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:In April 2020, during the peak of the coronavirus disease 2019 (COVID-19) pandemic in Europe, a cluster of children with hyperinflammatory shock with features similar to Kawasaki disease and toxic shock syndrome was reported in England* (1). The patients' signs and symptoms were temporally associated with COVID-19 but presumed to have developed 2-4 weeks after acute COVID-19; all children had serologic evidence of infection with SARS-CoV-2, the virus that causes COVID-19 (1). The clinical signs and symptoms present in this first cluster included fever, rash, conjunctivitis, peripheral edema, gastrointestinal symptoms, shock, and elevated markers of inflammation and cardiac damage (1). On May 14, 2020, CDC published an online Health Advisory that summarized the manifestations of reported multisystem inflammatory syndrome in children (MIS-C), outlined a case definition,† and asked clinicians to report suspected U.S. cases to local and state health departments. As of July 29, a total of 570 U.S. MIS-C patients who met the case definition had been reported to CDC. A total of 203 (35.6%) of the patients had a clinical course consistent with previously published MIS-C reports, characterized predominantly by shock, cardiac dysfunction, abdominal pain, and markedly elevated inflammatory markers, and almost all had positive SARS-CoV-2 test results. The remaining 367 (64.4%) of MIS-C patients had manifestations that appeared to overlap with acute COVID-19 (2-4), had a less severe clinical course, or had features of Kawasaki disease.§ Median duration of hospitalization was 6 days; 364 patients (63.9%) required care in an intensive care unit (ICU), and 10 patients (1.8%) died. As the COVID-19 pandemic continues to expand in many jurisdictions, clinicians should be aware of the signs and symptoms of MIS-C and report suspected cases to their state or local health departments; analysis of reported cases can enhance understanding of MIS-C and improve characterization of the illness for early detection and treatment.