NYC emergency departments (ED) visits were categorized into NYC residential, NYC PO Box or commercial building, commuters into NYC, and out-of-town visitors by patient reported ZIP code. Spatial and temporal trends in total ED visits by home ZIP code type were analyzed to describe patterns in each group, and determine how such information might inform daily syndromic surveillance activities. Of the approximately 4 million ED visits in NYC during 2011, the number of visits by commuters and out-of-town visitors were 125,236 (3.1%) and 45,158 (1.1%) respectively. Out-of town visitors were found to mostly go to hospitals in Manhattan rather than the outer boroughs. While the seasonal trends and day-of-week patterns for the NYC residents and th...
Travel time is an important metric of geographic access to health care. We compared strategies of es...
Milwaukee’s 53206 ZIP code, located on the city’s near North Side, has drawn considerable attention ...
Thanks to the increasing popularity of location-based social networks, a large amount of user-genera...
ObjectiveTo analyze differences in utilization of Emergency Departments for primary care sensitive c...
ObjectiveTo assess the use of syndromic surveillance to assess trends inmental health-related emerge...
New York City (NYC) emergency departments (EDs) expressed interest in receiving summary reports of t...
A primary care (PC) syndrome was developed to estimate the number of primary care-related visits to ...
Syndromic surveillance identified temporal and spatial patterns in gunshot related visits that are c...
Incorporating prior knowledge (e.g., the spatial distribution of zip codes and background population...
<p><b>Copyright information:</b></p><p>Taken from "A flexibly shaped space-time scan statistic for d...
AIM: The primary aim of this study was to evaluate the geographic variation in emergency department ...
We describe and evaluate an extension to spatial biosurveillance algorithms that allows a patient’s ...
The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) routinely collects daily eme...
This polygon layer is a subset of the Census TIGER ZCTA file, re-projected to local state plane and ...
Using monthly zip-code level data on credit card transactions covering 16 U.S. cities, this paper in...
Travel time is an important metric of geographic access to health care. We compared strategies of es...
Milwaukee’s 53206 ZIP code, located on the city’s near North Side, has drawn considerable attention ...
Thanks to the increasing popularity of location-based social networks, a large amount of user-genera...
ObjectiveTo analyze differences in utilization of Emergency Departments for primary care sensitive c...
ObjectiveTo assess the use of syndromic surveillance to assess trends inmental health-related emerge...
New York City (NYC) emergency departments (EDs) expressed interest in receiving summary reports of t...
A primary care (PC) syndrome was developed to estimate the number of primary care-related visits to ...
Syndromic surveillance identified temporal and spatial patterns in gunshot related visits that are c...
Incorporating prior knowledge (e.g., the spatial distribution of zip codes and background population...
<p><b>Copyright information:</b></p><p>Taken from "A flexibly shaped space-time scan statistic for d...
AIM: The primary aim of this study was to evaluate the geographic variation in emergency department ...
We describe and evaluate an extension to spatial biosurveillance algorithms that allows a patient’s ...
The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) routinely collects daily eme...
This polygon layer is a subset of the Census TIGER ZCTA file, re-projected to local state plane and ...
Using monthly zip-code level data on credit card transactions covering 16 U.S. cities, this paper in...
Travel time is an important metric of geographic access to health care. We compared strategies of es...
Milwaukee’s 53206 ZIP code, located on the city’s near North Side, has drawn considerable attention ...
Thanks to the increasing popularity of location-based social networks, a large amount of user-genera...