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.

COVID-19 Mortality and Progress Toward Vaccinating Older Adults - World Health Organization, Worldwide, 2020-2022.

After the emergence of SARS-CoV-2 in late 2019, transmission expanded globally, and on January 30, 2020, COVID-19 was declared a public health emergency of international concern.* Analysis of the early Wuhan, China outbreak (1), subsequently confirmed by multiple other studies (2,3), found that 80% of deaths occurred among persons aged ≥60 years. In anticipation of the time needed for the global vaccine supply to meet all needs, the World Health Organization (WHO) published the Strategic Advisory Group of Experts on Immunization (SAGE) Values Framework and a roadmap for prioritizing use of COVID-19 vaccines in late 2020 (4,5), followed by a strategy brief to outline urgent actions in October 2021.† WHO described the general principles, objectives, and priorities needed to support country planning of vaccine rollout to minimize severe disease and death. A July 2022 update to the strategy brief§ prioritized vaccination of populations at increased risk, including older adults,¶ with the goal of 100% coverage with a complete COVID-19 vaccination series** for at-risk populations. Using available public data on COVID-19 mortality (reported deaths and model estimates) for 2020 and 2021 and the most recent reported COVID-19 vaccination coverage data from WHO, investigators performed descriptive analyses to examine age-specific mortality and global vaccination rollout among older adults (as defined by each country), stratified by country World Bank income status. Data quality and COVID-19 death reporting frequency varied by data source; however, persons aged ≥60 years accounted for >80% of the overall COVID-19 mortality across all income groups, with upper- and lower-middle-income countries accounting for 80% of the overall estimated excess mortality. Effective COVID-19 vaccines were authorized for use in December 2020, with global supply scaled up sufficiently to meet country needs by late 2021 (6). COVID-19 vaccines are safe and highly effective in reducing severe COVID-19, hospitalizations, and mortality (7,8); nevertheless, country-reported median completed primary series coverage among adults aged ≥60 years only reached 76% by the end of 2022, substantially below the WHO goal, especially in middle- and low-income countries. Increased efforts are needed to increase primary series and booster dose coverage among all older adults as recommended by WHO and national health authorities.

Built by epidemiologists for epidemiologists: an internal COVID-19 dashboard for real-time situational awareness in New York City.

Objective: New York City (NYC) experienced a large first wave of coronavirus disease 2019 (COVID-19) in the spring of 2020, but the Health Department lacked tools to easily visualize and analyze incoming surveillance data to inform response activities. To streamline ongoing surveillance, a group of infectious disease epidemiologists built an interactive dashboard using open-source software to monitor demographic, spatial, and temporal trends in COVID-19 epidemiology in NYC in near real-time for internal use by other surveillance and epidemiology experts. Materials and methods: Existing surveillance databases and systems were leveraged to create daily analytic datasets of COVID-19 case and testing information, aggregated by week and key demographics. The dashboard was developed iteratively using R, and includes interactive graphs, tables, and maps summarizing recent COVID-19 epidemiologic trends. Additional data and interactive features were incorporated to provide further information on the spread of COVID-19 in NYC. Results: The dashboard allows key staff to quickly review situational data, identify concerning trends, and easily maintain granular situational awareness of COVID-19 epidemiology in NYC. Discussion: The dashboard is used to inform weekly surveillance summaries and alleviated the burden of manual report production on infectious disease epidemiologists. The system was built by and for epidemiologists, which is critical to its utility and functionality. Interactivity allows users to understand broad and granular data, and flexibility in dashboard development means new metrics and visualizations can be developed as needed. Conclusions: Additional investment and development of public health informatics tools, along with standardized frameworks for local health jurisdictions to analyze and visualize data in emergencies, are warranted.

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.

COVID-19 Outbreak - New York City, February 29-June 1, 2020.

New York City (NYC) was an epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States during spring 2020 (1). During March-May 2020, approximately 203,000 laboratory-confirmed COVID-19 cases were reported to the NYC Department of Health and Mental Hygiene (DOHMH). To obtain more complete data, DOHMH used supplementary information sources and relied on direct data importation and matching of patient identifiers for data on hospitalization status, the occurrence of death, race/ethnicity, and presence of underlying medical conditions. The highest rates of cases, hospitalizations, and deaths were concentrated in communities of color, high-poverty areas, and among persons aged ≥75 years or with underlying conditions. The crude fatality rate was 9.2% overall and 32.1% among hospitalized patients. Using these data to prevent additional infections among NYC residents during subsequent waves of the pandemic, particularly among those at highest risk for hospitalization and death, is critical. Mitigating COVID-19 transmission among vulnerable groups at high risk for hospitalization and death is an urgent priority. Similar to NYC, other jurisdictions might find the use of supplementary information sources valuable in their efforts to prevent COVID-19 infections.

Carriage of Neisseria meningitidis in Men Who Have Sex With Men Presenting to Public Sexual Health Clinics, New York City.

BACKGROUND: We conducted a Neisseria meningitidis (Nm) carriage study among men who have sex with men (MSM) to explore possible sexual transmission. METHODS: We paired information on patient characteristics with oropharyngeal, rectal, and urethral Nm culture results to assess associations with Nm carriage among 706 MSM at New York City sexual health clinics. The Nm isolates were characterized by whole genome sequencing. RESULTS: Twenty-three percent (163 of 706) of MSM were Nm carriers. Oropharyngeal carriage was 22.6% (159 of 703), rectal 0.9% (6 of 695), and urethral 0.4% (3 of 696). Oropharyngeal carriage was associated with the following recent (past 30 days) exposures: 3 or more men kissed (adjusted relative risk [aRR], 1.38; 95% confidence interval [CI], 1.03-1.86), performing oral sex (aRR, 1.81; 95% CI, 1.04-3.18), and antibiotic use (aRR, 0.33; 95% CI, 0.19-0.57). Sixteen clonal complexes were identified; 27% belonged to invasive lineages. CONCLUSIONS: Our findings suggest that oral sex and the number of recent kissing partners contribute to Nm carriage in MSM.

Sex Difference in Meningococcal Disease Mortality, New York City, 2008-2016.

Background: The case fatality rate (CFR) from invasive meningococcal disease (IMD) in New York City (NYC) is greater than national figures, with higher rates among females than males across all age groups. Methods: We conducted a retrospective cohort study among 151 persons aged ≥15 years diagnosed with IMD in NYC during 2008-2016 identified through communicable disease surveillance. We examined demographic, clinical, and community-level associations with death to confirm the elevated risk of mortality among female IMD patients after adjusting for confounders and to determine factors associated with female IMD mortality. Relative risks of death were estimated using multivariable log-linear Poisson regression with a robust error variance. Results: Females had a higher CFR (n = 23/62; 37%) following IMD than males (n = 17/89; 19%) (adjusted relative risk [aRR], 2.1; 95% confidence interval [CI], 1.2-3.8). Controlling for demographic and clinical factors, there was a significant interaction between sex and fatal outcomes related to meningitis: the relative risk of death for females with meningitis was 13.7 (95% CI, 3.2-58.1) compared with males. In the model restricted to females, altered mental status (aRR, 7.5; 95% CI, 2.9-19.6) was significantly associated with an increased risk of death. Conclusions: Female mortality from IMD was significantly increased compared with males, controlling for other predictors of mortality. Sex-based differences in recognition and treatment need to be evaluated in cases of meningococcal disease. Our study highlights the importance of analyzing routine surveillance data to identify and address disparities in disease incidence and outcomes.

Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016.

INTRODUCTION: The use of syndromic surveillance has expanded from its initial purpose of bioterrorism detection. We present 6 use cases from New York City that demonstrate the value of syndromic surveillance for public health response and decision making across a broad range of health outcomes: synthetic cannabinoid drug use, heat-related illness, suspected meningococcal disease, medical needs after severe weather, asthma exacerbation after a building collapse, and Ebola-like illness in travelers returning from West Africa. MATERIALS AND METHODS: The New York City syndromic surveillance system receives data on patient visits from all emergency departments (EDs) in the city. The data are used to assign syndrome categories based on the chief complaint and discharge diagnosis, and analytic methods are used to monitor geographic and temporal trends and detect clusters. RESULTS: For all 6 use cases, syndromic surveillance using ED data provided actionable information. Syndromic surveillance helped detect a rise in synthetic cannabinoid-related ED visits, prompting a public health investigation and action. Surveillance of heat-related illness indicated increasing health effects of severe weather and led to more urgent public health messaging. Surveillance of meningitis-related ED visits helped identify unreported cases of culture-negative meningococcal disease. Syndromic surveillance also proved useful for assessing a surge of methadone-related ED visits after Superstorm Sandy, provided reassurance of no localized increases in asthma after a building collapse, and augmented traditional disease reporting during the West African Ebola outbreak. PRACTICE IMPLICATIONS: Sharing syndromic surveillance use cases can foster new ideas and build capacity for public health preparedness and response.

A Large Community Outbreak of Legionnaires' Disease Associated With a Cooling Tower in New York City, 2015.

OBJECTIVES: Infections caused by Legionella are the leading cause of waterborne disease outbreaks in the United States. We investigated a large outbreak of Legionnaires' disease in New York City in summer 2015 to characterize patients, risk factors for mortality, and environmental exposures. METHODS: We defined cases as patients with pneumonia and laboratory evidence of Legionella infection from July 2 through August 3, 2015, and with a history of residing in or visiting 1 of several South Bronx neighborhoods of New York City. We describe the epidemiologic, environmental, and laboratory investigation that identified the source of the outbreak. RESULTS: We identified 138 patients with outbreak-related Legionnaires' disease, 16 of whom died. The median age of patients was 55. A total of 107 patients had a chronic health condition, including 43 with diabetes, 40 with alcoholism, and 24 with HIV infection. We tested 55 cooling towers for Legionella, and 2 had a strain indistinguishable by pulsed-field gel electrophoresis from 26 patient isolates. Whole-genome sequencing and epidemiologic evidence implicated 1 cooling tower as the source of the outbreak. CONCLUSIONS: A large outbreak of Legionnaires' disease caused by a cooling tower occurred in a medically vulnerable community. The outbreak prompted enactment of a new city law on the operation and maintenance of cooling towers. Ongoing surveillance and evaluation of cooling tower process controls will determine if the new law reduces the incidence of Legionnaires' disease in New York City.

Notes from the Field: Fungal Bloodstream Infections Associated with a Compounded Intravenous Medication at an Outpatient Oncology Clinic - New York City, 2016.

On May 24, 2016, the New York City Department of Health and Mental Hygiene notified CDC of two cases of Exophiala dermatitidis bloodstream infections among patients with malignancies who had received care from a single physician at an outpatient oncology facility (clinic A). Review of January 1-May 31, 2016 microbiology records identified E. dermatitidis bloodstream infections in two additional patients who also had received care at clinic A. All four patients had implanted vascular access ports and had received intravenous (IV) medications, including a compounded IV flush solution containing saline, heparin, vancomycin, and ceftazidime, compounded and administered at clinic A.

Reportable Bacterial Infections among New York City-Born Infants, 2001-2009.

OBJECTIVE: To determine rates of reportable bacterial infections among infants in New York City and identify populations at risk and preventable causes of morbidity. STUDY DESIGN: This retrospective cohort study matched live births in New York City from 2001-2009 to reported cases of bacterial infections among infants less than 1 year of age. Characteristics recorded on birth certificates were compared between infants with bacterial enteric infection, bacterial nonenteric infection, and no reportable bacterial infection. Multinomial logistic regression and multivariable logistic regression were used to identify risk factors for infection. RESULTS: Bacterial infection was reported in 4.6 cases per 1000 live births. Of 4524 infants with a reportable infection, the majority (2880, 63%) had an enteric infection. Asian/Pacific Islanders in Brooklyn were the borough-level race/ethnic group with the highest enteric infection rate (8.5 per 1000 live births). Citywide, infants with enteric infections were disproportionately male, from higher poverty neighborhoods, born to foreign-born mothers, and enrolled in Special Supplemental Food Program for Women, Infants, and Children or Medicaid. In contrast, infants with nonenteric infections were more likely to have low birthweight and mothers characterized by US birth and black race or white Hispanic race/ethnicity. CONCLUSIONS: Distinct patterns of risk factors for enteric and nonenteric bacterial infections among infants were identified. The results suggest that infants born to Asian/Pacific Islander mothers residing in Brooklyn should be a focus of enteric disease prevention. More research is necessary to better understand what behaviors increase the risk of enteric disease in this population.

Meningococcal disease among men who have sex with men - United States, January 2012-June 2015.

Since 2012, three clusters of serogroup C meningococcal disease among men who have sex with men (MSM) have been reported in the United States. During 2012, 13 cases of meningococcal disease among MSM were reported by the New York City Department of Health and Mental Hygiene (1); over a 5-month period during 2012­2013, the Los Angeles County Department of Public Health reported four cases among MSM; and during May­June 2015, the Chicago Department of Public Health reported seven cases of meningococcal disease among MSM in the greater Chicago area. MSM have not previously been considered at increased risk for meningococcal disease. Determining outbreak thresholds* for special populations of unknown size (such as MSM) can be difficult. The New York City health department declared an outbreak based on an estimated increased risk for meningococcal infection in 2012 among MSM and human immunodeficiency virus (HIV)­infected MSM compared with city residents who were not MSM or for whom MSM status was unknown (1). The Chicago Department of Public Health also declared an outbreak based on an increase in case counts and thresholds calculated using population estimates of MSM and HIV-infected MSM. Local public health response included increasing awareness among MSM, conducting contact tracing and providing chemoprophylaxis to close contacts, and offering vaccination to the population at risk (1­3). To better understand the epidemiology and burden of meningococcal disease in MSM populations in the United States and to inform recommendations, CDC analyzed data from a retrospective review of reported cases from January 2012 through June 2015.

Elevated risk for invasive meningococcal disease among persons with HIV.

BACKGROUND: An association between HIV and invasive meningococcal disease (IMD) has been suggested by several previous studies but has not been fully described in the era of highly active antiretroviral therapy in the United States. OBJECTIVE: To estimate the risk for IMD and death in people living with HIV/AIDS (PLWHA) in New York City (NYC) and the contribution of CD4(+) cell count and viral load (VL) to IMD risk. DESIGN: Comparison of the incidence rate of IMD among PLWHA with that among HIV-uninfected persons. Surveillance data on IMD for patients aged 15 to 64 years from 2000 to 2011 were matched to death and HIV registries to calculate IMD risk and case-fatality ratios. A subset of PLWHA who had a CD4(+) cell count and VL measurement near the time of their IMD infection was included in age-matched case-control analyses to assess HIV markers and IMD risk. SETTING: Retrospective cohort from communicable disease surveillance. PATIENTS: 265 persons aged 15 to 64 years with IMD during 2000 to 2011. MEASUREMENTS: Meningococcal and HIV data abstracted from surveillance and registry databases, including CD4(+) cell counts and VL. RESULTS: The average annual incidence rate of IMD was 0.39 cases per 100 000 persons. The relative risk for IMD among PLWHA in NYC during 2000 to 2011 was 10.0 (95% CI, 7.2 to 14.1). Among PLWHA, patients with IMD were 5.3 times (CI, 1.4 to 20.4 times) as likely as age-matched control patients to have CD4(+) counts less than 0.200 × 10(9) cells/L. LIMITATION: Missing data on smoking status and comorbidity. CONCLUSION: People living with HIV/AIDS in NYC are at increased risk for IMD. Cost-effectiveness and vaccine efficacy studies are needed to evaluate the value of a national recommendation for routine meningococcal vaccination of PLWHA. PRIMARY FUNDING SOURCE: New York City Tax Levy.

An anthrax lethal factor mutant that is defective at causing pyroptosis retains proapoptotic activity.

Anthrax lethal toxin triggers death in some cell types, such as macrophages, and causes a variety of cellular dysfunctions in others. Collectively, these effects dampen the innate and adaptive immune systems to allow Bacillus anthracis to survive and proliferate in the mammalian host. The diverse effects caused by the toxin have in part been attributed to its interference with signaling pathways in target cells. Lethal factor (LF) is the proteolytic component of the toxin, and cleaves six members of the mitogen-activated protein kinase kinase family after being delivered to the cytosol by the cell-binding component of the toxin, protective antigen. The effect of cleaving these mitogen-activated protein kinase kinases is to interfere with extracellular signal-related kinase (ERK), p38 and c-Jun N-terminal kinase signaling. Here, we characterized an LF mutant, LF-K518E/E682G, that was defective at causing pyroptosis in RAW 264.7 cells and at activating the Nlrp1b inflammasome in a heterologous expression system. LF-K518E/E682G did not exhibit an overall impairment of function, however, because it was able to downregulate the ERK pathway, but not the p38 or c-Jun N-terminal kinase pathways. Furthermore, LF-K518E/E682G efficiently killed melanoma cells, which were shown previously to undergo apoptosis in response to lethal toxin or to pharmacological inhibition of the ERK pathway. Our results suggest that LF-K518E/E682G is defective at cleaving a substrate involved in the activation of the Nlrp1b inflammasome.

Haunted manuscripts: ghost authorship in the medical literature.

Ghost authorship occurs when an individual who contributed substantially to a manuscript is not named in the byline or acknowledgments. Ghost authors may be employed by industry to prepare clinical trial results for publication. An expert is then "hired" as author so as to lend an air of credibility and neutrality to the manuscript. Ghost authorship is difficult to detect, and most articles that have been identified as ghostwritten were revealed as such only after investigative work by lawyers, journalists, or scientists. Ghost authorship is ethically questionable in that it may be used to mask conflicts of interest with industry. As it has been demonstrated that industry sponsorship of clinical trials may be associated with outcomes favorable to industry, this is problematic. Evidence-based medicine requires that clinical decisions be based on empirical evidence published in peer-reviewed medical journals. If physicians base their decisions on dubious research data, this can have negative consequences for patients. Ghost authorship also compromises academic integrity. A "film credit" concept of authority is one solution to the problems posed by ghost authorship. Other approaches have been taken by the United Kingdom and Denmark. A solution is necessary, as the relationship between authorship and accountability must be maintained.