Temporal trends in the acidity of precipitation and surface waters of New York

1982 ◽  
Keyword(s):  
New York ◽  
Surface Waters ◽  
Temporal Trends

scholarly journals A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Chen ◽  
Wei Hou ◽  
Sina Rashidian ◽  
Yu Wang ◽  
Xia Zhao ◽  
...  
Keyword(s):  
New York ◽  
Race And Ethnicity ◽  
Large Scale ◽  
New York State ◽  
Temporal Trends ◽  
Opioid Overdose ◽  
York State ◽  
Targeted Interventions ◽  
Level Data ◽  
Zip Code

AbstractOpioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demographic and regional disparities, we analyzed large scale patient visits data in New York State (NYS). Demographic, spatial, temporal and correlation analyses were performed for all OP patients extracted from the claims data in the New York Statewide Planning and Research Cooperative System (SPARCS) from 2010 to 2016, along with Decennial US Census and American Community Survey zip code level data. 58,481 patients with at least one OP diagnosis and a valid NYS zip code address were included. Main outcome and measures include OP patient counts and rates per 100,000 population, patient level factors (gender, age, race and ethnicity, residential zip code), and zip code level social demographic factors. The results showed that the OP rate increased by 364.6%, and by 741.5% for the age group > 65 years. There were wide disparities among groups by race and ethnicity on rates and age distributions of OP. Heroin and non-heroin based OP rates demonstrated distinct temporal trends as well as major geospatial variation. The findings highlighted strong demographic disparity of OP patients, evolving patterns and substantial geospatial variation.

Abstract 12259: Epidemiology of Valvular Heart Diseases: A 30-Year Retrospective of Hospitalizations and In-Hospital Mortality in New York State

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Phyllis G Supino ◽  
Ofek Y Hai ◽  
Nasimullah Khan ◽  
Jeffrey S Borer
Keyword(s):  
New York ◽  
Heart Diseases ◽  
New York State ◽  
Temporal Trends ◽  
Case Fatality ◽  
Female Gender ◽  
York State ◽  
Death Risk ◽  
Valvular Heart Diseases ◽  
Rate Of Increase

Background: Valvular heart disease (VHD) is among the most predictable causes of heart failure (HF) and an important cause of sudden death. Temporal trends of clinically significant VHD during the past three decades have not been defined. Methods: To obtain information for our region, we conducted a longitudinal analysis of all inpatient hospital records (79,689,879) obtained from the New York State (NYS) Statewide Planning and Research Cooperative System (SPARCS) database for years 1983 (first year reliable data were consistently available) through 2012 (last year data were complete). VHD cases (2,720,313) were identified from principal or secondary ICD-9 codes for aortic, mitral, tricuspid or pulmonic VHD. Linear regression was used to evaluate trends over time for VHD hospitalizations, valve surgery (VS) and in-hospital deaths. Logistic regression was used to predict mortality risk factors. Results: From 1983-2012, total hospitalizations decreased by ~500,000 cases; simultaneously, VHD hospitalizations increased markedly (34,395 in 1983 to 125,139 in 2012). Rate of increase was linear across all VHD categories = 4,248 new cases (12.4%)/yr, r 2 = 0.99, p<.0001) through 2006 (peak= 132,323 cases), and then flattened through 2012. A parallel trend was found for VS, though no appreciable flattening occurred (2,582 cases in 1983 to 7,787 in 2012, linearized increase rate=207 VS [8.0%]/yr, r 2 =0.97, p<.001). Both numbers of hospitalizations and performance of VS rose with patient age (p<.001). Over the study interval, 123,787 patients with VHD died in the hospital, including 9,272 who died after VS; avg case fatality rates were 4.6% (all VHD) and 6.4% (VS). Deaths were independently associated with advancing age, nonelective admission and presence of associated HF (p<.0001, all). Male gender predicted increased death risk among the general VHD population; female gender predicted death risk among those undergoing VS. Conclusions: The incidence of VHD hospitalization and VS in NYS has risen substantially since the early 1980s and can be expected to rise further as the population ages. Thus, intensive planning is needed to deal with public health implications of these trends as we attempt to meet the growing needs of this patient population.

Investigation of Spatial Distributions and Temporal Trends of Triclosan in Canadian Surface Waters

2018 ◽  
Vol 76 (2) ◽  
pp. 231-245 ◽  
Author(s):  
Benoit Lalonde ◽  
Christine Garron ◽  
Alice Dove ◽  
John Struger ◽  
Kristina Farmer ◽  
...  
Keyword(s):  
Surface Waters ◽  
Temporal Trends ◽  
Spatial Distributions

scholarly journals Temporal Trends in COVID-19 associated AKI from March to December 2020 in New York City

2021 ◽  
Author(s):  
Sergio Dellepiane ◽  
Akhil Vaid ◽  
Suraj K Jaladanki ◽  
Ishan Paranjpe ◽  
Steven Coca ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
Acute Kidney Injury ◽  
New York City ◽  
Renal Replacement Therapy ◽  
York City ◽  
Temporal Trends ◽  
Kidney Injury ◽  
Clinical Approach ◽  
Over Time

AbstractAcute Kidney Injury (AKI) is among the most common complications of Coronavirus Disease 2019 (COVID-19). Throughout 2020 pandemic, the clinical approach to COVID-19 has progressively improved, but it is unknown how these changes have affected AKI incidence and severity. In this retrospective analysis, we report the trend over time of COVID-19 associated AKI and need of renal replacement therapy in a large health system in New York City, the first COVID-19 epicenter in United States.

scholarly journals Getis-Ord Gi* statistics for hydrocarbons content analysis in the Tromjegan river basin

2020 ◽  
Vol 26 (2) ◽  
pp. 151-160
Author(s):  
Valentina Dobryakova ◽  
Natalya Moskvina ◽  
Andrey Dobryakov ◽  
Lilia Zhegalina ◽  
Ildar Idrisov
Keyword(s):  
Environmental Monitoring ◽  
River Basin ◽  
Surface Waters ◽  
Temporal Dynamics ◽  
Hot Spot ◽  
Temporal Trends ◽  
Environmental Research ◽  
Analysis Tool ◽  
Hydrocarbon Pollution ◽  
Average Maximum

The information content and effectiveness of ecological research of the territory can be improved using the methods of multivariate analysis and mapping of the results. The article presents the analysis and mapping results of spatial and temporal trends of hydrocarbon pollution in the Tromjegan river basin for the period 2006–2018 using the tools of ArcGIS Pro. The informational and basic research is the data of local environmental monitoring of licensed blocks of the Khanty-Mansiysk Autonomous Okrug — Ugra. Pollution analysis was carried out on the basis of a detailed study of the geography of the source data using statistical calculations (minimum, average, maximum distances between sampling points, Getis-Ord Gi* index). Thematic maps were constructed using data averaged over the year. The spatial and temporal dynamics of hydrocarbons concentration in surface waters for 2006–2018 is analyzed using the “Hot Spot Analysis” tool. A temporary cluster section of hydrocarbons average annual concentration according to the Getis-Ord Gi* indicator allowed us to identify trends in the dynamics of indicators. Maps of hydrocarbons average annual concentration were compiled and the results of a spatial-temporal analysis of hydrocarbons average annual concentration in surface waters were presented. The identification of patterns in large arrays of long-term data and the consideration of the spatial component are necessary elements of modern environmental research. Analysis of the time series of average annual concentrations in the Tromjegan river basin showed a clear trend in the dynamics of hydrocarbon pollution. The findings can be the basis for making managerial decisions in the environmental monitoring of licensed blocks of the Khanty-Mansiysk Autonomous Okrug — Ugra.

Is There a Limit to Adoption of Dynamic Ridesharing Systems? Evidence from Analysis of Uber Demand Data from New York City

2018 ◽  
Vol 2672 (42) ◽  
pp. 127-136 ◽  
Author(s):  
Raymond Gerte ◽  
Karthik C. Konduri ◽  
Naveen Eluru
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Transportation Networks ◽  
Autonomous Vehicle ◽  
Temporal Trends ◽  
Technological Advances ◽  
Vehicle Operation ◽  
Bike Sharing ◽  
And Shifts

Recent technological advances have paved the way for new mobility alternatives within established transportation networks, including on-demand ride hailing/sharing (e.g., Uber, Lyft) and citywide bike sharing. Common across these innovative modes is a lack of direct ownership by the user; in each of these mobility offerings, a resource not owned by the end users’ is shared for fulfilling travel needs. This concept has flourished and is being hailed as a potential option for autonomous vehicle operation moving forward. However, substantial investigation into how new shared modes affect travel behaviors and integrate into existing transportation networks is lacking. This paper explores whether the growth in the adoption and usage of these modes is unbounded, or if there is a limit to their uptake. Recent trends and shifts in Uber demand usage from New York City were investigated to explore the hypothesis. Using publicly available data about Uber trips, temporal trends in the weekly demand for Uber were explored in the borough of Manhattan. A panel-based random effects model accounting for both heteroscedasticity and autocorrelation effects was estimated wherein weekly demand was expressed as a function of a variety of demographic, land use, and environmental factors. It was observed that demand appeared to initially increase after the introduction of Uber, but seemed to have stagnated and waned over time in heavily residential portions of the island, contradicting the observed macroscopic unbounded growth. The implications extend beyond already existing fully shared systems and also affect the planning of future mobility offerings.

Simulation of Water Age and Residence Time in New York Bight

2010 ◽  
Vol 40 (5) ◽  
pp. 965-982 ◽  
Author(s):  
Weifeng G. Zhang ◽  
John L. Wilkin ◽  
Oscar M. E. Schofield
Keyword(s):  
New York ◽  
Surface Water ◽  
Time Scales ◽  
Residence Time ◽  
Surface Waters ◽  
River Discharge ◽  
Long Island ◽  
Water Age ◽  
New York Bight ◽  
Island Coast

Abstract The time scales on which river inflows disperse in the coastal ocean are relevant to a host of biogeochemical and environmental processes. These time scales are examined in a modeling study of the Hudson River plume on its entry to the New York Bight (NYB). Constituent-oriented age and residence-time theory is applied to compute two time scales: mean age, which is calculated from the ratio of two model tracers, and residence time, which is calculated using the adjoint of the tracer conservation equation. Spatial and temporal variability associated with river discharge and wind is investigated. High river discharge lowers surface water age and shortens residence time in the apex of the NYB. Easterly winds increase surface water age and extend the duration waters along the Long Island coast remain in the NYB apex. Southerly winds increase age along the New Jersey coast but drive a decrease in age of offshore surface waters and prolong the time that surface waters close to the New Jersey coast stay in the NYB apex. Residence time along the Long Island coast is high in spring and summer because of the retention of water north of the Hudson shelf valley. Patterns of modeled surface water age and an age proxy computed from the ratio of satellite-measured irradiance in two channels show qualitative agreement. A least squares fit gives a statistically significant empirical relationship between the band ratio and modeled mean age for NYB waters.

REGIONAL PATTERNS OF PESTICIDE CONCENTRATIONS IN SURFACE WATERS OF NEW YORK IN 1997

2002 ◽  
Vol 38 (3) ◽  
pp. 731-745 ◽  
Author(s):  
Patrick J. Phillips ◽  
David A. Eckhardt ◽  
Douglas A. Freehafer ◽  
Gary R. Wall ◽  
Hannah H. Ingleston
Keyword(s):  
New York ◽  
Surface Waters ◽  
Regional Patterns
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