Disaster Preparedness: Hospital Decontamination and the Pediatric Patient— Guidelines for Hospitals and Emergency Planners

2008 ◽  
Vol 23 (2) ◽  
pp. 166-173 ◽  
Author(s):  
Christopher W. Freyberg ◽  
Bonnie Arquilla ◽  
Baruch S. Fertel ◽  
Michael G. Tunik ◽  
Arthur Cooper ◽  
...  

AbstractIn recent years, attention has been given to disaster preparedness for first responders and first receivers (hospitals). One such focus involves the decontamination of individuals who have fallen victim to a chemical agent from an attack or an accident involving hazardous materials. Children often are overlooked in disaster planning. Children are vulnerable and have specific medical and psychological requirements. There is a need to develop specific protocols to address pediatric patients who require decontamination at the entrance of hospital emergency departments. Currently, there are no published resources that meet this need. An expert panel convened by the New York City Department of Health and Mental Hygiene developed policies and procedures for the decontamination of pediatric patients.The panel was comprised of experts from a variety of medical and psychosocial areas.Using an iterative process, the panel created guidelines that were approved by the stakeholders and are presented in this paper.These guidelines must be utilized, studied, and modified to increase the likelihood that they will work during an emergency situation.

2020 ◽  
Author(s):  
Mingwang Shen ◽  
Jian Zu ◽  
Christopher K. Fairley ◽  
José A. Pagán ◽  
Bart Ferket ◽  
...  

ABSTRACTBackgroundNew York City (NYC) was the epicenter of the COVID-19 pandemic in the United States. On April 17, 2020, the State of New York implemented an Executive Order that requires all people in New York to wear a face mask or covering in public settings where social distancing cannot be maintained. It is unclear how this Executive Order has affected the spread of COVID-19 in NYC.MethodsA dynamic compartmental model of COVID-19 transmission among NYC residents was developed to assess the effect of the Executive Order on face mask use on infections and deaths due to COVID-19 in NYC. Data on daily and cumulative COVID-19 infections and deaths were obtained from the NYC Department of Health and Mental Hygiene.ResultsThe Executive Order on face mask use is estimated to avert 99,517 (95% CIs: 72,723-126,312) COVID-19 infections and 7,978 (5,692-10,265) deaths in NYC. If the Executive Order was implemented one week earlier (on April 10), the averted infections and deaths would be 111,475 (81,593-141,356) and 9,017 (6,446-11,589), respectively. If the Executive Order was implemented two weeks earlier (on April 3 when the Centers for Disease Control and Prevention recommended face mask use), the averted infections and deaths would be 128,598 (94,373-162,824) and 10,515 (7,540-13,489), respectively.ConclusionsNew York’s Executive Order on face mask use is projected to have significantly reduced the spread of COVID-19 in NYC. Implementing the Executive Order at an earlier date would avert even more COVID-19 infections and deaths.


Author(s):  
V. Nuno Martins ◽  
Hans M. Louis-Charles ◽  
Joanne Nigg ◽  
James Kendra ◽  
Sarah Sisco

Abstract This study focuses on household disaster preparedness in New York City (NYC) prior to Superstorm Sandy occurrence on October 25, 2012. The purpose of our analysis is to explain the level and patterns of disaster preparedness before a relatively rare natural disaster event occurred and to investigate the factors that influenced the capacity of NYC households to prepare for emergencies and disasters. A random telephone (RDD) survey comprised of 2001 NYC residents across all five boroughs was conducted by the NYC Department of Health and Mental Hygiene and completed before Sandy struck the City. These data were explored using frequencies, cross-tabs, and factor analysis to build a path model of household disaster preparedness. Findings indicate that household disaster preparedness levels in NYC are high, especially regarding the acquisition of emergency supplies and communication resources. A trust in local government and assistance from one’s social network are the strongest predictors of general household preparedness. Exogenous variables in our model – low income households and those with functional and access needs residents – will be more vulnerable during an actual disaster since they are less able to access communication technologies to search for self-protective disaster information and to communicate their needs during an emergency.


2018 ◽  
Vol 25 (12) ◽  
pp. 1586-1592 ◽  
Author(s):  
Thomas Effland ◽  
Anna Lawson ◽  
Sharon Balter ◽  
Katelynn Devinney ◽  
Vasudha Reddy ◽  
...  

Abstract Objective We developed a system for the discovery of foodborne illness mentioned in online Yelp restaurant reviews using text classification. The system is used by the New York City Department of Health and Mental Hygiene (DOHMH) to monitor Yelp for foodborne illness complaints. Materials and Methods We built classifiers for 2 tasks: (1) determining if a review indicated a person experiencing foodborne illness and (2) determining if a review indicated multiple people experiencing foodborne illness. We first developed a prototype classifier in 2012 for both tasks using a small labeled dataset. Over years of system deployment, DOHMH epidemiologists labeled 13 526 reviews selected by this classifier. We used these biased data and a sample of complementary reviews in a principled bias-adjusted training scheme to develop significantly improved classifiers. Finally, we performed an error analysis of the best resulting classifiers. Results We found that logistic regression trained with bias-adjusted augmented data performed best for both classification tasks, with F1-scores of 87% and 66% for tasks 1 and 2, respectively. Discussion Our error analysis revealed that the inability of our models to account for long phrases caused the most errors. Our bias-adjusted training scheme illustrates how to improve a classification system iteratively by exploiting available biased labeled data. Conclusions Our system has been instrumental in the identification of 10 outbreaks and 8523 complaints of foodborne illness associated with New York City restaurants since July 2012. Our evaluation has identified strong classifiers for both tasks, whose deployment will allow DOHMH epidemiologists to more effectively monitor Yelp for foodborne illness investigations.


1995 ◽  
Vol 4 (5) ◽  
pp. 441-446
Author(s):  
Jeanne V. Linden ◽  
Thomas J. Favreau

In the United States, standards for cell and tissue processing have been developed by a variety of professional tissue banking organizations. Several organizations, including the American Association of Tissue Banks and the Eye Bank Association of America, have accreditation programs for member institutions. Some governmental agencies, such as the New York State Department of Health and the Food and Drug Administration, have adopted strict regulations, which may subject noncompliant tissue banks to certain enforcement actions. Professional tissue banking organizations have also issued guidelines that provide recommendations for implementing efficacious policies and procedures for the acquisition, processing, storage, and distribution of tissues.


Author(s):  
Briana Lui ◽  
Michelle Zheng ◽  
Robert S White ◽  
Marguerite Hoyler

Aim: To examine the economic impact of lives lost due to the COVID-19 pandemic across New York State. Materials & methods: Death counts by age range and period life expectancy were extracted from the NYS Department of Health, NYC Department of Health and Mental Hygiene, and Social Security Administration website. Years of potential life lost and value of statistical life (VSL) were calculated. Results: The average years of potential life lost per person was 12.72 and 15.13, and the VSL was US$119.62 and 90.45 billion, in NYS and NYC, respectively. VSL was greatest in Queens and Brooklyn, followed by the Bronx, Manhattan and Staten Island. Conclusion: New York City, specifically Queens and Brooklyn, bore the greatest economic burden of lives lost across the state.


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