Investigation of Vaping Fluids Recovered From New York State E-Cigarette or Vaping Product Use-Associated Lung Injury Patients

E-cigarette or vaping product use-associated lung injury (EVALI) is a serious pulmonary condition that is associated with the extended use of certain vaping products. EVALI was first characterized in the summer of 2019 and has since been reported in all 50 U.S. states. From August 2019 through June 2021, the New York State Department of Health has reported more than 197 confirmed cases emanating from all regions of the state. The Wadsworth Center at the New York State Department of Heath received vaping cartridges recovered from EVALI patients for chemical analysis of their contents. Untargeted analytical methods using gas chromatography-mass spectrometry and liquid chromatography-high-resolution mass spectrometry as well as targeted analyses for a variety of analytes including cannabinoids, pesticides, vitamin E acetate (VEA) and mycotoxins were used to characterize the composition of the vaping fluids and several commercial vaping fluid additives. From the analyses of the 284 e-cigarette devices recovered from patients, 82 were found to be nicotine-containing pods, and 202 devices containing cannabis oil, apparently from unauthorized or black-market dealers. The fluids from the cannabis-oil cartridges tended to have lower levels of THCs (Δ9-tetrahydrocannabinol + Δ8-tetrahydrocannabinol) and total cannabinoids compared with those of commercially produced formulations and contained significant levels of diluents including VEA, medium-chain triglycerides, polyethylene glycol, and castor oil. VEA was the diluent most frequently detected, which was present in 132 (65.3%) of the vaping fluids that contained cannabis oil. When present, VEA ranged from 2.0 to 67.8% of the total mass of the oil with a mean content of 37.0%. In some cases, two or three diluents were detected in the same sample. The ratio of VEA to THCs varied widely, from 0.07 to 5.34. VEA and specifically the high ratios of VEA to THCs in black-market vaping fluids may be causative in EVALI. The safety of additional components and additives that are present in vaping fluids are likewise of concern.

Optimizing the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS)

Harmful algal blooms (HABs) continue to affect lakes and waterways across the nation, often resulting in environmental and economic damage at regional scales. The US Army Engineer Research and Development Center (ERDC) and collaborators have continued research on the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS) project to develop a rapidly deployable and scalable system for mitigating large HABs. The second year of the project focused on optimization research, including (1) development of a new organic flocculant formulation for neutralization and flotation of algal cells; (2) testing and initial optimization of a new, high-throughput biomass dewatering system with low power requirements; (3) development, design, assembly, and initial testing of the first shipboard HABITATS prototype; (4) execution of two field pilot studies of interception and treatment systems in coordination with the Florida Department of Environmental Protection and New York State Department of Environmental Conservation; (5) conversion of algal biomass into biocrude fuel at pilot scale with a 33% increase in yield compared to the previous bench scale continuous-flow reactor studies; and (6) refinement of a scalability analysis and optimization model to guide the future development of full-scale prototypes.

New York City’s Brownfield Redevelopment Program: Economic Catalyst or Taxpayer Giveaway?

The New York State Department of Environmental Conservation (DEC) and the New York City Office of Environmental Remediation (OER) manage and coordinate brownfield cleanup programs. These are intended to promote environmental restoration and redevelopment of underutilized or abandoned properties that have been affected by the presence or discharges of oil or hazardous substances. This paper seeks to determine whether these programs have achieved the goals and objectives sought by decision makers and if the cost of those achievements in terms of public money subsidies and forgone tax revenue have been commensurate with the realized benefits.The DEC brownfield program offers financial incentives, such as tax credits, as well as regulatory benefits (limited liability protections) to promote alternatives to greenfield development. OER efforts are New York City centric with incentives divided into three sectors: procedural, legal, and financial with a major goal of reducing remedial (cleanup) timeframes. To evaluate the effectiveness of the New York City Brownfield program changes in property values over time were evaluated. The five New York City counties experiencing the two highest percent increases in property values also claimed the highest brownfield credits. Queens and Brooklyn received most brownfield credits during this period but also experienced the most redevelopment. These and other data illustrate a return on the brownfield investment (ROBI) credit of about one to six; or one dollar in brownfield credit stimulating six dollars in project spending. New York City counties’ ROBI is consistent with all other New York State County ROBI’s: roughly six dollars in redevelopment activity being stimulated by one dollar in brownfield credit. The roughly $6 ROBI presented here is similar to ROI’s for other public services such as disease prevention and incarceration intervention.

Improvements to the Success of Outbreak Investigations of Legionnaires' Disease: 40 Years of Testing and Investigation in New York State

Since 1978, the New York State Department of Health’s public health laboratory, Wadsworth Center (WC), in collaboration with epidemiology and environmental partners, has been committed to providing comprehensive public health testing for Legionella in New York. Statewide, clinical case counts have been increasing over time, with the highest numbers identified in 2017 and 2018 (1022 and 1426, respectively). Over the course of more than 40 years, the WC Legionella testing program has continuously implemented improved testing methods. The methods utilized have transitioning from solely culture-based methods for organism recovery to development of a suite of reference testing services including identification and characterization by PCR and pulsed-field gel electrophoresis (PFGE). In the last decade, whole-genome sequencing (WGS) has further refined the ability to link outbreak strains between clinical specimens and environmental samples. Here we review Legionnaires' disease outbreak investigations during this time period including comprehensive testing of both clinical and environmental samples. Between 1978 and 2017, 60 outbreaks involving clinical and environmental isolates with matching PFGE patterns were detected in 49 facilities from the 157 investigations at 146 facilities. However, 97 investigations were not solved due to the lack of clinical or environmental isolates or PFGE matches. We found 69% of patient specimens from New York State (NYS) were outbreak-associated, a much higher rate than other published reports. The consistent application of new cutting-edge technologies and environmental regulations have resulted in successful investigations resulting in remediation efforts. Importance Legionella , the causative agent of Legionnaires’ disease (LD) can cause severe respiratory illness. In 2018, there were nearly 10,000 cases of LD reported in the United States (1), with actual incidence believed to be much higher. About 10% of patients with LD will die and as high as 90% of patients diagnosed will be hospitalized. As Legionella are spread predominantly through engineered building water systems, identifying sources of outbreaks by assessing environmental sources is key to preventing further cases LD.

Detecting Nuclear Materials in Urban Environments Using Mobile Sensor Networks

Radiation detectors installed at major ports of entry are a key component of the overall strategy to protect countries from nuclear terrorism. While the goal of deploying these systems is to intercept special nuclear material as it enters the country, no detector system is foolproof. Mobile, distributed sensors have been proposed to detect nuclear materials in transit should portal monitors fail to prevent their entry in the first place. In large metropolitan areas, a mobile distributed sensor network could be deployed using vehicle platforms such as taxis, Ubers, and Lyfts, which are already connected to communications infrastructure. However, performance and coverage that could be achieved using a network of sensors mounted on commercial passenger vehicles has not been established. Here, we evaluate how a mobile sensor network could perform in New York City using a combination of radiation transport and geographic information systems. The geographic information system is used in conjunction with OpenStreetMap data to isolate roads and construct a grid over the streets. Vehicle paths are built using pickup and drop off data from Uber, and from the New York State Department of Transportation. The results show that the time to first detection increases with source velocity, decreases with the number of mobile detectors, and reaches a plateau that depends on the strength of the source.

Potential Hazards at the New York City Bridges, 1982 – 2006

New York State Department of Transportation designates potentially hazardous conditions on bridges as flags. From 1982 until 2006 the flags issued for the bridges owned by New York City underwent all phases typical of crises, including a gradual increase, an exponential expansion, an extended peak, a gradual decline, and a convergence to a higher but manageable level. The attempts to forecast the flag pattern as it was developing are reviewed for possible relevance to management of the transportation infrastructure and in general.

DETECTING NUCLEAR MATERIALS IN URBAN ENVIRONMENTS USING MOBILE SENSOR NETWORKS

Radiation detectors installed at major ports of entry are a key component of the overall strategy to protect countries from nuclear terrorism. While the goal of deploying these systems is to intercept special nuclear material as it enters the country, no detector system is fool proof. Mobile, distributed sensors have been proposed to detect nuclear materials in transit should portal monitors fail to prevent their entry in the first place. In large metropolitan areas a mobile distributed sensor network could be deployed using vehicle platforms such as taxis, Ubers and Lyfts which are already connected to communications infrastructure. However, the potential geographic coverage that could be achieved using a network of sensors mounted on commercial passenger vehicles has not been established. Here we evaluate how a mobile sensor network could perform in New York City using a combination of radiation transport and Geographic Information Systems. The Geographic Information System QGIS is used in conjunction with OpenStreetMap data to isolate roads and construct a grid over the streets. Vehicle paths are built using pickup and drop off data from Uber, and data from the New York State Department of Transportation.

Evaluation of Centerline Audible Roadway Delineators (CARDs) in New York State

This study evaluated the safety effectiveness of the systemic implementation of centerline rumble strips on New York State-owned roads. In New York State, rumble strips installed on the centerline are referred to as centerline audible roadway delineators (CARDs). The effect of CARDs on head-on sideswipe (HO/SS), run-off-road (ROR), injury crashes, and fatal crashes was analyzed. This was an observational, naïve before–after with comparison group study. The treatment group included all segments where CARDs were installed in 2013, 2014, and 2015 in New York State Department of Transportation Regions 1 and 4, and Dutchess County in Region 8. Eligible segments without CARDs in those regions constituted the control group. The crashes comprised 2009 to 2017 HO/SS and ROR fatal, all injury, and property damage only crashes. The study showed that CARDs are an effective treatment to reduce ROR and HO/SS crashes. There was a decrease of 24 ROR and 9 HO/SS crashes on CARDs segments installed in 2013, a decrease of 12 ROR and 27 HO/SS crashes on CARDs segments installed in 2014, and a decrease of 40 ROR and 35 HO/SS crashes on CARDs segments installed in 2015. Crash modification factors (CMFs) developed for CARDs included ROR crashes (a CMF of 0.774 [expected reduction of 22.6%] in all ROR crashes); HO/SS crashes (a CMF of 0.623 [expected reduction of 37.7%] in HO/SS total crashes); and HO/SS injury crashes (a CMF of 0.572 [expected reduction of 42.8%] in injury HO/SS crashes).

A Bioinformatic Pipeline for Improved Genome Analysis and Clustering of Isolates during Outbreaks of Legionnaires’ Disease

Legionnaires’ disease, a severe lung infection caused by the bacterium Legionella pneumophila, occurs as single cases or in outbreaks that are actively tracked by public health departments. To determine the point source of an outbreak, clinical isolates need to be compared to environmental samples to find matching isolates. One confounding factor is the genome plasticity of L. pneumophila, making an exact sequence comparison by whole-genome sequencing (WGS) challenging. Here, we present a WGS analysis pipeline, LegioCluster, designed to circumvent this problem by automatically selecting the best matching reference genome prior to mapping and variant calling. This approach reduces the number of false-positive variant calls, maximizes the fraction of all genomes that are being compared, and naturally clusters the isolates according to their reference strain. Isolates that are too distant from any genome in the database are added to the list of candidate references, thereby creating a new cluster. Short insertions and deletions are considered in addition to single nucleotide polymorphisms (SNP) for increased discriminatory power. This manuscript describes the use of this automated and "locked down" bioinformatic pipeline deployed at the New York State Department of Health's Wadsworth Center for investigating relatedness between clinical and environmental isolates. A similar pipeline has not been widely available for use to support this critically important public health investigation analysis.

Правове регулювання оподаткування електронної комерції у Сполучених Штатах Америки: аналіз ключових прецедентів

Стаття присвячена особливостям правового регулювання оподаткування електронної комерції у Сполучених Штатах АМерики. Зазначено, що поширення мережі Інтернет та масове поширення електронної торгівлі потребує адекватного правового регулювання оподаткування такого виду підприємницької діяльності, щоби запобігти уникненню від оподаткування суб'єктів електронної комерції, тим самим забезпечити належне здійснення права людини на податки. Визначено різницю між податком із продажів та податком на використання. У статті визначено значення комерційного застереження та застереження про належну правову процедуру. Досліджено еволюцію прецедентів, що містять норми, предметом регулювання яких є оподаткування електронної комерції. Проаналізовано судову аргументацію, викладену у ключових судових рішеннях, що стосуються поставленої проблематики: "Amazon.com, LLC v. New York State Department of Taxation and Finance"; "National Bellas Hess v. Department of Revenue"; "Overstock.com, Inc. v. New York State Department of Taxation and Finance"; "Quill Corp. v. North Dakota"; "South Dakota v. Wayfair Inc.". Проаналізовано судове тлумачення «суттєвого зв'язку», необхідного для оподаткування в певному штаті. Вказано, що технології надзвичайно швидко крокують уперед, дистанційна торгівля стає буденною та значно переважає над традиційною, тому належне оподаткування суб'єктів електронної комерції є нагальною вимогою часу, щоби забезпечити справедливе та рівноправне оподаткування суб'єктів господарювання різного масштабу і, як наслідок, забезпечити дотримання права людини на податки. Зроблено висновок, що правило про фізичну присутність є неправильним. Справа "South Dakota v. Wayfair Inc." відповідає вимогам часу, а запроваджене нею правило істотного зв'язку сприятиме справедливому оподаткуванню суб'єктів електронної комерції, захистить суб'єктів малого підприємництва від переважання цифрових гігантів, які здійснюють продажі в багатьох штатах і водночас не мають там жодної фізичної присутності.