scholarly journals A statewide analysis of SARS-CoV-2 transmission in New York

Author(s):  
Erica Lasek-Nesselquist ◽  
Navjot Singh ◽  
Alexis Russell ◽  
Daryl Lamson ◽  
John Kelly ◽  
...  

AbstractNew York State, in particular the New York City metropolitan area, was the early epicenter of the SARS-CoV-2 pandemic in the United States. Similar to initial pandemic dynamics in many metropolitan areas, multiple introductions from various locations appear to have contributed to the swell of positive cases. However, representation and analysis of samples from New York regions outside the greater New York City area were lacking, as were SARS-CoV-2 genomes from the earliest cases associated with the Westchester County outbreak, which represents the first outbreak recorded in New York State. The Wadsworth Center, the public health laboratory of New York State, sought to characterize the transmission dynamics of SARS-CoV-2 across the entire state of New York from March to September with the addition of over 600 genomes from under-sampled and previously unsampled New York counties and to more fully understand the breadth of the initial outbreak in Westchester County. Additional sequencing confirmed the dominance of B.1 and descendant lineages (collectively referred to as B.1.X) in New York State. Community structure, phylogenetic, and phylogeographic analyses suggested that the Westchester outbreak was associated with continued transmission of the virus throughout the state, even after travel restrictions and the on-pause measures of March, contributing to a substantial proportion of the B.1 transmission clusters as of September 30th, 2020.

2020 ◽  
Vol 33 (2) ◽  
pp. 140-147
Author(s):  
Ernie Yap ◽  
Marcia Joseph ◽  
Shuchita Sharma ◽  
Osama El Shamy ◽  
Alan D. Weinberg ◽  
...  

Author(s):  
John L. Rose

Abstract Dutchess County is located in New York State on the east side of the Hudson River about halfway between New York City and Albany, with a population of about 250,000. County residents are a mix of exurbanites, who commute to jobs in Westchester County or New York City; high techs, who work at one of the county’s two large IBM complexes, and farmers and gentleman farmers who live in the eastern half of the county.


Author(s):  
Eli S. Rosenberg ◽  
James M. Tesoriero ◽  
Elizabeth M. Rosenthal ◽  
Rakkoo Chung ◽  
Meredith A. Barranco ◽  
...  

ABSTRACTImportanceNew York State (NYS) is an epicenter of the United States’ COVID-19 epidemic. Reliable estimates of cumulative incidence of SARS-CoV-2 infection in the population are critical to tracking the extent of transmission and informing policies, but US data are lacking, in part because societal closure complicates study conduct.ObjectiveTo estimate the cumulative incidence of SARS-CoV-2 infection and percent of infections diagnosed in New York State, overall and by region, age, sex, and race and ethnicity.DesignStatewide cross-sectional seroprevalence study, conducted April 19-28, 2020.SettingGrocery stores (n=99) located in 26 counties throughout NYS, which were essential businesses that remained open during a period of societal closure and attract a heterogenous clientele.ParticipantsConvenience sample of patrons ≥18 years and residing in New York State, recruited consecutively upon entering stores and via an in-store flyer.ExposuresRegion (New York City, Westchester/Rockland, Long Island, Rest of New York State), age, sex, race and ethnicity.Main OutcomesPrimary outcome: cumulative incidence of SARS-CoV-2 infection, based on dry-blood spot (DBS) SARS-CoV-2 antibody reactivity; secondary outcome: percent of infections diagnosed.ResultsAmong 15,101 adults with suitable DBS specimens, 1,887 (12.5%) were reactive using a validated SARS-CoV-2 IgG microsphere immunoassay (sensitivity 87.9%, specificity 99.75%). Following post-stratification weighting on region, sex, age, and race and ethnicity and adjustment for assay characteristics, estimated cumulative incidence through March 29 was 14.0% (95% CI: 13.3-14.7%), corresponding to 2,139,300 (95% CI: 2,035,800-2,242,800) infection-experienced adults. Cumulative incidence was higher among Hispanic/Latino (29.2%, 95% CI: 27.2-31.2%), non-Hispanic black/African American (20.2% 95% CI, 18.1-22.3%), and non-Hispanic Asian (12.4%, 95% CI: 9.4-15.4%) adults than non-Hispanic white adults (8.1%, 95% CI: 7.4-8.7%, p<.0001). Cumulative incidence was highest in New York City (NYC) 22.7% (95% CI: 21.5%-24.0). Dividing diagnoses reported to NYS by estimated infection-experienced adults, an estimated 8.9% (95% CI: 8.4-9.3%) of infections were diagnosed, with those ≥55 years most likely to be diagnosed (11.3%, 95% CI: 10.4-12.2%).Conclusions and RelevanceOver 2 million adults were infected through late March 2020, with substantial variations by subpopulations. As this remains below herd immunity thresholds, monitoring, testing, and contact tracing remain essential public health strategies.


2021 ◽  
Vol 12 (2) ◽  
pp. 1
Author(s):  
Tatyiana Gordon

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.


2012 ◽  
Vol 30 (4) ◽  
pp. 1053-1098 ◽  
Author(s):  
Anne Fleming

When asked why he did not read over the loan documents before signing them, John Doherty explained: “I was anxious to get the money, I didn't bother about it.” In February 1910, the twenty-three-year-old railroad clerk walked into the offices of the Chesterkirk Company, a loan-sharking operation with offices in lower Manhattan. He was looking to borrow some money. Repayment was guaranteed by the only security Doherty had to offer: his prospective wages and, in his words, his “reputation.” After a brief investigation of Doherty's creditworthiness, the loan was approved. The office manager placed a cross in lead pencil at the bottom of a lengthy form and Doherty signed where indicated. He received $34.85 in exchange for his promise to repay the loan principal plus $10.15 in combined fees and interest in three months. The interest charged was significantly greater than the 6 percent per year allowed in New York State. Doherty's effective annualized interest rate, including fees, was over 100 percent.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S1000-S1000
Author(s):  
Elizabeth Dufort ◽  
Dylan Johns ◽  
Manisha Patel ◽  
Manisha Patel ◽  
Nina Ahmad ◽  
...  

Abstract Background The United States is experiencing the largest measles outbreak since elimination was declared in 2000, with the majority of cases in NYS reported in undervaccinated communities. The objective of this evaluation was to describe adult measles cases in the NYS measles outbreak outside of New York City (NYC). Methods We included all confirmed cases aged ≥18 years in NYS residents (excluding NYC) during October 1, 2018–July 25, 2019 that met the CSTE measles case definition. We defined measles cases attributable to adults as the sum of measles cases among adults and children who contracted disease directly from adults. Results Among 371 confirmed measles cases, the median age was 5.5 years (range: 1 day to 64 years); 79 (21%) were in adults, 4 (5%) of whom were born before 1957 (3 unvaccinated and 1 with unknown vaccine status). Among the 75 cases born during or after 1957, 65 (87%) were unvaccinated or had unknown vaccine status, while 3 had one dose and 7 had 2 doses of measles vaccine. Notably, 5 of 11 internationally imported measles cases were adults, and all were unvaccinated or had unknown vaccine status. During the first month of the outbreak, 26 of the 51 (51%) cases were attributable to adults; of the 26, 15 (58%) were in adults and 11 (42%) were in children who acquired infection from adults (Figure 3). Conclusion The majority of measles cases occurred in unvaccinated children emphasizing the importance of ongoing and focused efforts on pediatric vaccination. However, measles cases in unvaccinated adults played an important role in both importations and disease transmission early in the outbreak. These data strongly support current recommendations of 1 dose of measles, mumps, rubella vaccine (MMR) for most adults and 2 doses of MMR for adults traveling internationally and at high-risk such as those in outbreak areas, as determined by local/state public health. Disclosures Kirsten St. George, MAppSc, PhD, Akonni Biosystems (Other Financial or Material Support), ThermoFisher (Grant/Research Support), Zeptometrix (Other Financial or Material Support, royalty generating collaborative agreement). .


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