36 research outputs found

    Are We Ready for Mass Fatality Incidents? Preparedness of the US Mass Fatality Infrastructure

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    Objective To assess the preparedness of the US mass fatality infrastructure, we developed and tested metrics for 3 components of preparedness: organizational, operational, and resource sharing networks. Methods In 2014, data were collected from 5 response sectors: medical examiners and coroners, the death care industry, health departments, faith-based organizations, and offices of emergency management. Scores were calculated within and across sectors and a weighted score was developed for the infrastructure. Results A total of 879 respondents reported highly variable organizational capabilities: 15% had responded to a mass fatality incident (MFI); 42% reported staff trained for an MFI, but only 27% for an MFI involving hazardous contaminants. Respondents estimated that 75% of their staff would be willing and able to respond, but only 53% if contaminants were involved. Most perceived their organization as somewhat prepared, but 13% indicated “not at all.” Operational capability scores ranged from 33% (death care industry) to 77% (offices of emergency management). Network capability analysis found that only 42% of possible reciprocal relationships between resource-sharing partners were present. The cross-sector composite score was 51%; that is, half the key capabilities for preparedness were in place. Conclusions The sectors in the US mass fatality infrastructure report suboptimal capability to respond. National leadership is needed to ensure sector-specific and infrastructure-wide preparedness for a large-scale MFI

    Job Loss, Unemployment, Work Stress, Job Satisfaction, and the Persistence of Posttraumatic Stress Disorder One Year After the September 11 Attacks

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    The influence of unemployment and adverse work conditions on the course of psychopathology after a mass disaster is unclear. We recruited a representative sample of adults living in the New York City metropolitan area six months after the September 11 attacks and completed follow-up interviews on 71% of the baseline sample six months later (N = 1939). At follow-up, posttraumatic stress disorder (PTSD) persisted in 42.7% of the 149 cases with PTSD at baseline. In multivariable models, unemployment at any time since baseline predicted PTSD persistence in the entire cohort (P = 0.02) and among persons employed at follow-up (P = 0.02). High levels of perceived work stress predicted PTSD persistence among persons employed at follow-up (P = 0.02). Persons unemployed in the aftermath of a disaster may be at risk for poor mental health in the long-term.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/40294/2/Nandi_Job Loss, Unemploymet, Work Stress, Job Satisfation_2004.pd

    Epidemiology of subway-related fatalities in New York City, 1990-2003

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61349/1/gershon_epidemiology of subway fatalities_2008.pd

    Street-level noise in an urban setting: assessment and contribution to personal exposure

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    Abstract Background The urban soundscape, which represents the totality of noise in the urban setting, is formed from a wide range of sources. One of the most ubiquitous and least studied of these is street-level (i.e., sidewalk) noise. Mainly associated with vehicular traffic, street level noise is hard to ignore and hard to escape. It is also potentially dangerous, as excessive noise from any source is an important risk factor for adverse health effects. This study was conducted to better characterize the urban soundscape and the role of street level noise on overall personal noise exposure in an urban setting. Methods Street-level noise measures were obtained at 99 street sites located throughout New York City (NYC), along with data on time, location, and sources of environmental noise. The relationship between street-level noise measures and potential predictors of noise was analyzed using linear and logistic regression models, and geospatial modeling was used to evaluate spatial trends in noise. Daily durations of street-level activities (time spent standing, sitting, walking and running on streets) were estimated via survey from a sample of NYC community members recruited at NYC street fairs. Street-level noise measurements were then combined with daily exposure durations for each member of the sample to estimate exposure to street noise, as well as exposure to other sources of noise. Results The mean street noise level was 73.4 dBA, with substantial spatial variation (range 55.8-95.0 dBA). Density of vehicular (road) traffic was significantly associated with excessive street level noise levels. Exposure duration data for street-level noise and other common sources of noise were collected from 1894 NYC community members. Based on individual street-level exposure estimates, and in consideration of all other sources of noise exposure in an urban population, we estimated that street noise exposure contributes approximately 4% to an average individual’s annual noise dose. Conclusions Street-level noise exposure is a potentially important source of overall noise exposure, and the reduction of environmental sources of excessive street- level noise should be a priority for public health and urban planning.http://deepblue.lib.umich.edu/bitstream/2027.42/110769/1/12940_2015_Article_6.pd
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