Clustering of SARS-CoV-2 in Households in New York City: A Building-Level Analysis, March-December 2020.

OBJECTIVES: To identify the proportion of coronavirus disease 2019 (COVID-19) cases that occurred within households or buildings in New York City (NYC) beginning in March 2020 during the first stay-at-home order to determine transmission attributable to these settings and inform targeted prevention strategies. DESIGN: The residential addresses of cases were geocoded (converting descriptive addresses to latitude and longitude coordinates) and used to identify clusters of cases residing in unique buildings based on building identification number (BIN), a unique building identifier. Household clusters were defined as 2 or more cases within 2 weeks of onset or diagnosis date in the same BIN with the same unit number, last name, or in a single-family home. Building clusters were defined as 3 or more cases with onset date or diagnosis date within 2 weeks in the same BIN who do not reside in the same household. SETTING: NYC from March to December 2020. PARTICIPANTS: NYC residents with a positive SARS-CoV-2 nucleic acid amplification or antigen test result with a specimen collected during March 1, 2020, to December 31, 2020. MAIN OUTCOME MEASURE: The proportion of NYC COVID-19 cases in a household or building cluster. RESULTS: The BIN analysis identified 65 343 building and household clusters: 17 139 (26%) building clusters and 48 204 (74%) household clusters. A substantial proportion of NYC COVID-19 cases (43%) were potentially attributable to household transmission in the first 9 months of the pandemic. CONCLUSIONS: Geocoded address matching assisted in identifying COVID-19 household clusters. Close contact transmission within a household or building cluster was found in 43% of noncongregate cases with a valid residential NYC address. The BIN analysis should be utilized to identify disease clustering for improved surveillance.

Study protocol for a multisite randomized controlled trial of a peer navigator intervention for emergency department patients with nonfatal opioid overdose.

BACKGROUND: Patients presenting to emergency departments (EDs) after a nonfatal opioid-involved overdose are at high risk for future overdose and death. Responding to this risk, the New York City (NYC) Department of Health and Mental Hygiene operates the Relay initiative, which dispatches trained peer "Wellness Advocates" to meet patients in the ED after a suspected opioid-involved overdose and follow them for up to 90 days to provide support, education, referrals to treatment, and other resources using a harm reduction framework. METHODS: In this article, we describe the protocol for a multisite randomized controlled trial of Relay. Study participants are recruited from four NYC EDs and are randomized to receive the Relay intervention or site-directed care (the control arm). Outcomes are assessed through survey questionnaires conducted at 1-, 3-, and 6-months after the baseline visit, as well as through administrative health data. The primary outcome is the number of opioid-related adverse events, including any opioid-involved overdose or any other substance use-related ED visit, in the 12 months post-baseline. Secondary and exploratory outcomes will also be analyzed, as well as hypothesized mediators and moderators of Relay program effectiveness. CONCLUSION: We present the protocol for a multisite randomized controlled trial of a peer-delivered OD prevention intervention in EDs. We describe how the study was designed to minimize disruption to routine ED operations, and how the study was implemented and adapted during the COVID-19 pandemic. This trial is registered with ClinicalTrials.gov [NCT04317053].

Rapid Emergence and Epidemiologic Characteristics of the SARS-CoV-2 B.1.526 Variant - New York City, New York, January 1-April 5, 2021.

Recent studies have documented the emergence and rapid growth of B.1.526, a novel variant of interest (VOI) of SARS-CoV-2, the virus that causes COVID-19, in the New York City (NYC) area after its identification in NYC in November 2020 (1-3). Two predominant subclades within the B.1.526 lineage have been identified, one containing the E484K mutation in the receptor-binding domain (1,2), which attenuates in vitro neutralization by multiple SARS-CoV-2 antibodies and is present in variants of concern (VOCs) first identified in South Africa (B.1.351) (4) and Brazil (P.1).* The NYC Department of Health and Mental Hygiene (DOHMH) analyzed laboratory and epidemiologic data to characterize cases of B.1.526 infection, including illness severity, transmission to close contacts, rates of possible reinfection, and laboratory-diagnosed breakthrough infections among vaccinated persons. Preliminary data suggest that the B.1.526 variant does not lead to more severe disease and is not associated with increased risk for infection after vaccination (breakthrough infection) or reinfection. Because relatively few specimens were sequenced over the study period, the statistical power might have been insufficient to detect modest differences in rates of uncommon outcomes such as breakthrough infection or reinfection. Collection of timely viral genomic data for a larger proportion of citywide cases and rapid integration with population-based surveillance data would enable improved understanding of the impact of emerging SARS-CoV-2 variants and specific mutations to help guide public health intervention efforts.

Associations between drug use patterns and viral load suppression among HIV-positive individuals who use support services in New York City.

BACKGROUND: Drug use (DU) represents a significant barrier to maintaining physical health among people living with HIV (PLWH). Few studies, however, have examined the relationship between DU over time and HIV treatment outcomes. Such studies are needed because an individual's risk of poor health outcomes may vary with their DU behaviors. We examined associations between DU patterns over time and unsuppressed viral load (VL). METHODS: The sample included 7896 PLWH in New York City who completed ≥3 substance use assessments over a 24-month period. DU was defined as crystal methamphetamine, crack/cocaine, heroin, and/or recreational prescription medication use in the last three months. Four behavior patterns were constructed: (1) persistent use (DU reported on each assessment); (2) intermittent use-active (DU reported on the third, but not all previous assessments); (3) intermittent use-inactive (DU reported previously with no DU reported on the third assessment); (4) persistent non-use (no DU reported on any assessment). Unsuppressed VL (>200 copies/mL) was assessed based on the last VL value in the New York City HIV Surveillance Registry in the 12 months following an individual's third DU assessment. RESULTS: Compared with persistent non-users, individuals with intermittent use-inactive (aOR = 1.24, 95% CI = 1.03-1.49), intermittent use-active (aOR = 1.68, 95% CI = 1.36-2.06), and persistent use (aOR = 2.21, 95% CI = 1.69-2.89) were significantly more likely to have unsuppressed VL. CONCLUSIONS: While providers may be more likely to intervene with persistent or active drug users, our findings suggest the importance of addressing the risk of poor HIV treatment outcomes among those with any DU behavior.

The Burden of Depression in New York City Adults: Results from the 2013-14 NYC Health and Nutrition Examination Survey.

Depression is responsible for a large burden of disability in the USA. We estimated the prevalence of depression in the New York City (NYC) adult population in 2013-14 and examined associations with demographics, health behaviors, and employment status. Data from the 2013-14 New York City Health and Nutrition Examination Survey, a population-based examination study, were analyzed, and 1459 participants met the inclusion criteria for this analysis. We defined current symptomatic depression by a Patient Health Questionnaire (PHQ-9) score ≥ 10. Overall, 8.3% of NYC adults had current symptomatic depression. New Yorkers with current symptomatic depression were significantly more likely to be female, Latino, and unemployed yet not looking for work; they were also significantly more likely to have less than a high school education and to live in a high-poverty neighborhood. Socioeconomic inequalities in mental health persist in NYC and highlight the need for better diagnosis and treatment.