8 research outputs found
Use of a Simulator to Objectively Distinguish Behaviors Between Low-Risk and High-Risk Drivers
The objective of this study was to validate behavioral differences between two groups of drivers through the use of a driving simulator. Controlled experiments in a driving simulator were used to gather objective and subjective evidence on how drivers reacted to roadway objects and handled various hazardous situations. Low-risk, more experienced drivers were more aware of the mental demands of having to remember and later recall a list of items when compared to high-risk, less experienced drivers. Outcomes of the study may potentially serve as the foundation for a training program that will aim to transfer risk assessment strategies from low-risk drivers to high-risk drivers
Carbon Monoxide Poisoning during Hurricane Sandy in Affected New York State Counties
This was a retrospective study that combined with emergency department visit chief complaint and power outage data to evaluation of carbon monoxide poisoning during hurricane Sandy in three most affected New York State counties.
Using Hospital ED Data to Identify Mental Illness Trends After Hurricane Sandy
Emergency department chief complaint (EDCC) data provides an opportunity for capturing the early mental health impact of disaster events at the community level, and to track their impact over time. Mental health keyword lists were generated and used to conduct a study of mental health EDCCs after Hurricane Sandy in New York State. Compared with the unaffected area, the relative risk of EDCCs in the affected counties was significantly higher during the 12-day Sandy period (RR 1.16, 95% CI 1.03-1.31), as well as in the 1-year post-Sandy period (RR 1.12, 95% CI 1.01-1.25)
Window of Opportunity for New Disease Surveillance: Developing Keyword Lists for Monitoring Mental Health and Injury Through Syndromic Surveillance
Data and Code for Mysteriously rapid rise in Legionnaires' disease incidence correlates with declining atmospheric sulfur dioxide
Data and code for the analyses and figures presented in the paper titled "Mysteriously rapid rise in Legionnaires' disease incidence correlates with declining atmospheric sulfur dioxide".</p