scholarly journals Pediatric Influenza-Associated Deaths in New York State: Death Certificate Coding and Comparison to Laboratory-Confirmed Deaths

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Dina Hoefer ◽  
Bryan Cherry ◽  
Marilyn Kacica ◽  
Kristi McClamroch ◽  
Kimberly Kilby
Keyword(s):  
New York ◽  
Death Certificate ◽  
Influenza Infection ◽  
New York State ◽  
Population Level ◽  
Death Certificates ◽  
York State ◽  
Capture Recapture ◽  
State Death ◽  
And Control

Introduction. Surveillance for laboratory-confirmed influenza-associated deaths in children is used to monitor the severity of influenza at the population level and to inform influenza prevention and control policies. The goal of this study was to better estimate pediatric influenza mortality in New York state (NYS). Methods. Death certificate data were requested for all passively reported deaths and any pneumonia and influenza (P&I) coded pediatric deaths occurring between October 2004 and April 2010, excluding New York City (NYC) residents. A matching algorithm and capture-recapture analysis were used to estimate the total number of influenza-associated deaths among NYS children. Results. Thirty-four laboratory-confirmed influenza-associated pediatric deaths were reported and 67 death certificates had a P&I coded death; 16 deaths matched. No laboratory-confirmed influenza-associated death had a pneumonia code and no pneumonia coded deaths had laboratory evidence of influenza infection in their medical record. The capture-recapture analysis estimated between 38 and 126 influenza-associated pediatric deaths occurred in NYS during the study period. Conclusion. Passive surveillance for influenza-associated deaths continues to be the gold standard methodology for characterizing influenza mortality in children. Review of death certificates can complement but not replace passive reporting, by providing better estimates and detecting any missed laboratory-confirmed deaths.

Estimation of the Rate of Congenital Malformations

PEDIATRICS ◽  
1971 ◽  
Vol 48 (3) ◽  
pp. 492-493
Author(s):  
Steve Selvin ◽  
Joseph Garfinkel
Keyword(s):  
New York ◽  
Congenital Malformation ◽  
Congenital Malformations ◽  
Death Certificate ◽  
New York State ◽  
Birth Certificate ◽  
Birth Certificates ◽  
Death Certificates ◽  
Multiple Sources ◽  
York State

In view of the article by A. Khalili, and coauthors,1 we thought it might be interesting to present an alternative way of looking at the estimation of the rate of malformation from multiple sources. Also, we will present some new data on the rates of congenital malformation in New York State. When death certificates are matched to birth certificates, three possible outcomes exist with respect to congenital malformations. The malformation will be noted on both the death and birth certificates, it will be included on the birth certificate only, or on the death certificate only.

scholarly journals The Potential Impact of the New York State Smokers’ Quitline on Population-Level Smoking Rates in New York

2019 ◽  
Vol 16 (22) ◽  
pp. 4477
Author(s):  
Nathan Mann ◽  
James Nonnemaker ◽  
Kevin Davis ◽  
LeTonya Chapman ◽  
Jesse Thompson ◽  
...  
Keyword(s):  
New York ◽  
Smoking Prevalence ◽  
New York State ◽  
State Level ◽  
Population Level ◽  
York State ◽  
Point Reduction ◽  
Effective Interventions ◽  
Current Impact

Receiving smoking cessation services from telephone quitlines significantly increases quit success compared with no intervention or other quitting methods. To affect population-level smoking, quitlines must provide a sufficient proportion of smokers with effective interventions. Nationally, quitlines reach around 1% of adult smokers annually. From 2011 through 2016, the average annual reach of the New York State Smokers’ Quitline (NYSSQL) was 2.9%. We used data on the reach and cessation outcomes of NYSSQL to estimate its current impact on population-level smoking prevalence and to estimate how much reach would have to increase to achieve population-level smoking prevalence reductions. We estimate NYSSQL is associated with a 0.02 to 0.04 percentage point reduction in smoking prevalence in New York annually. If NYSSQL achieved the recommended annual reach of 8% (CDC Best Practices) and 16% (NAQC), state-level prevalence would decrease by an estimated 0.07–0.12 and 0.13–0.24 percentage points per year, respectively. To achieve those recommended levels of reach, NYSSQL would need to provide services to approximately 3.5 to 6.9 times more smokers annually. Given their reach, quitlines are limited in their ability to affect population-level smoking. Increasing quitline reach may not be feasible and would likely be cost-prohibitive. It may be necessary to re-think the role of quitlines in tobacco control efforts. In New York, the quitline is being integrated into larger efforts to promote cessation through health systems change.

Germination, Growth, Development, and Control of Galinsoga

Weed Science ◽  
1973 ◽  
Vol 21 (1) ◽  
pp. 41-45 ◽  
Author(s):  
J. A. Ivany ◽  
R. D. Sweet
Keyword(s):  
New York ◽  
New York State ◽  
Main Axis ◽  
Fresh Weight ◽  
York State ◽  
Total Percentage ◽  
Growth Development ◽  
Alternating Temperature ◽  
And Control ◽  
Galinsoga Ciliata

Hairy galinsoga [Galinsoga ciliata (Raf.) Blake] and smallflower galinsoga [G. parviflora Cav.] are widespread weeds in New York State. Freshly harvested achenes (seed) are not dormant and germinate in the field from early May until frost. Rate of germination but not final total percentage was stimulated by alternating temperature, with the fastest rate being at 30 C day and 20 C night and with a 16-hr photoperiod and 11,000 lux of light. Some seed in each seed-lot required light for germination. Both species were day-neutral with respect to flowering. Smallflower galinsoga produced its first flower after node seven and hairy galinsoga after node six on the main axis 6 to 8 weeks after germination. Decreasing light intensity 83% decreased fresh weight.

scholarly journals Tracking Varicella Deaths: Accuracy and Completeness of Death Certificates and Hospital Discharge Records, New York State, 1989–1995

2002 ◽  
Vol 92 (8) ◽  
pp. 1248-1250 ◽  
Author(s):  
Karin Galil ◽  
Mark J. Pletcher ◽  
Barbara J. Wallace ◽  
Jane Seward ◽  
Pamela A. Meyer ◽  
...  
Keyword(s):  
New York ◽  
Hospital Discharge ◽  
New York State ◽  
Death Certificates ◽  
York State ◽  
Hospital Discharge Records

Mortality Risk of Inflammatory Bowel Disease: A Case–Control Study of New York State Death Records

2019 ◽  
Vol 64 (6) ◽  
pp. 1604-1611 ◽  
Author(s):  
Angelica Nocerino ◽  
Alexandra Feathers ◽  
Elena Ivanina ◽  
Laura Durbin ◽  
Arun Swaminath
Keyword(s):  
Inflammatory Bowel Disease ◽  
New York ◽  
Bowel Disease ◽  
Case Control Study ◽  
New York State ◽  
Case Control ◽  
York State ◽  
Inflammatory Bowel ◽  
State Death ◽  
Control Study

scholarly journals Medical Capacity Shortages Facilitated the Rapid Dissemination of COVID-19 in Wuhan, New York State, and Italy

2020 ◽  
Author(s):  
Yuehao Xu ◽  
Cheng Zhang ◽  
Lixian Qian
Keyword(s):  
New York ◽  
New York State ◽  
The United States ◽  
Control Measures ◽  
York State ◽  
Travel Restrictions ◽  
Rapid Dissemination ◽  
City State ◽  
And Control ◽  
The Impact

AbstractDuring the coronavirus disease 2019 (COVID-19) outbreak, every public health system faced the potential challenge of medical capacity shortages. Infections without timely diagnosis or treatment may facilitate the stealth transmission and spread of the virus. Using infection and medical capacity information reported in Wuhan in China, New York State in the United States, and Italy, we developed a dynamic susceptible–exposed–infected–recovered (SEIR) model to estimate the impact of medical capacity shortages during the COVID-19 outbreak at the city, state, and country levels. After accounting for the effects of travel restrictions and control measures, we find that the number of infections in Wuhan could have been 39% lower than the actual number if the medical capacity were doubled in this city. Similarly, we find the less shortages in medical capacity in both New York state and Italy, the faster decline in the daily infection numbers and the fewer deaths. This study provides a method for estimating potential shortages and explains how they may dynamically facilitate disease spreading during future pandemics such as COVID-19.

scholarly journals Elevated COVID-19 outcomes among persons living with diagnosed HIV infection in New York State: Results from a population-level match of HIV, COVID-19, and hospitalization databases

2020 ◽  
Author(s):  
James M. Tesoriero ◽  
Carol-Ann E. Swain ◽  
Jennifer L. Pierce ◽  
Lucila Zamboni ◽  
Meng Wu ◽  
...  
Keyword(s):  
New York ◽  
Severe Disease ◽  
New York State ◽  
Population Level ◽  
Population Based ◽  
Disease Stage ◽  
Hospital Death ◽  
Viral Load Suppression ◽  
York State ◽  
Hiv Surveillance

AbstractBackgroundNew York State (NYS) has been an epicenter for both COVID-19 and HIV/AIDS epidemics. Persons Living with diagnosed HIV (PLWDH) may be more prone to COVID-19 infection and severe outcomes, yet few population-based studies have assessed the extent to which PLWDH are diagnosed, hospitalized, and have died with COVID-19, relative to non-PLWDH.MethodsNYS HIV surveillance, COVID-19 laboratory confirmed diagnoses, and hospitalization databases were matched. COVID-19 diagnoses, hospitalization, and in-hospital death rates comparing PLWDH to non-PLWDH were computed, with unadjusted rate ratios (RR) and indirect standardized RR (sRR), adjusting for sex, age, and region. Adjusted RR (aRR) for outcomes among PLWDH were assessed by age/CD4-defined HIV disease stage, and viral load suppression, using Poisson regression models.ResultsFrom March 1-June 7, 2020, PLWDH were more frequently diagnosed with COVID-19 than non-PLWDH in unadjusted (RR [95% confidence interval (CI)]: 1.43[1.38-1.48), 2,988 PLWDH], but not in adjusted comparisons (sRR [95% CI]: 0.94[0.91-0.97]). Per-population COVID-19 hospitalization was higher among PLWDH (RR [95% CI]: 2.61[2.45-2.79], sRR [95% CI]: 1.38[1.29-1.47], 896 PLWDH), as was in-hospital death (RR [95% CI]: 2.55[2.22-2.93], sRR [95%CI]: 1.23 [1.07-1.40], 207 PLWDH), albeit not among those hospitalized (sRR [95% CI]: 0.96[0.83-1.09]). Among PLWDH, hospitalization risk increased with disease progression from HIV Stage 1 to Stage 2 (aRR [95% CI]:1.27[1.09-1.47]) and Stage 3 (aRR [95% CI]: 1.54[1.24-1.91]), and for those virally unsuppressed (aRR [95% CI]: 1.54[1.24-1.91]).ConclusionPLWDH experienced poorer COVID-related outcomes relative to non-PLWDH, with 1-in-522 PLWDH dying with COVID-19, seemingly driven by higher rates of severe disease requiring hospitalization.

scholarly journals Medical Capacity Shortages Facilitated the Rapid Dissemination of COVID-19 in Wuhan, New York State, and Italy

2021 ◽  
Author(s):  
Yuehao Xu ◽  
Cheng Zhang ◽  
Lixian Qian
Keyword(s):  
New York ◽  
New York State ◽  
The United States ◽  
Policy Makers ◽  
York State ◽  
Proposed Model ◽  
Rapid Dissemination ◽  
City State ◽  
And Control ◽  
The Impact

Abstract Background: During the coronavirus disease 2019 (COVID-19) outbreak, every public health system faced the potential challenge of medical capacity shortages. Infections without timely diagnosis or treatment may facilitate the stealth transmission and spread of the virus. Important as the influence of capacity shortages on the epidemic, it is still unclear how they could intensify the spread of the epidemic qualitatively under different circumstances. Our study aims to throw light on this influence.Methods: Using infection and medical capacity information reported in Wuhan in China, New York State in the United States, and Italy, we developed a dynamic susceptible–exposed–infected–recovered (SEIR) model to estimate the impact of medical capacity shortages during the COVID-19 outbreak at the city, state, and country levels.Results: The proposed model can fit data well (R-square > 0.9). Through sensitivity analysis, we found that doubled capacity would lead to a 39% lower peak infected number in Wuhan. Italy and New York State have similar results.Conclusions: The less shortages in medical capacity, the faster decline in the daily infection numbers and the fewer deaths, and more shortage would lead to steepen infection curve. This study provides a method for estimating potential shortages and explains how they may dynamically facilitate disease spreading during future pandemics such as COVID-19. Based on this, policy makers may figure out some way to explore more medical capacity and control the epidemic better.

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