Using Scan Statistic to Detect Heroin Overdose Clusters with Hospital Emergency Room Visit Data

Early detection of heroin overdose clusters is important in the current battle against the opioid crisis to effectively implement prevention and control measures. The New York State syndromic surveillance system collects hospital emergency department (ED) visit data, including visit time, chief complaint, and patient zip code. This data can be used to timely identify potential heroin overdose outbreaks by detecting spatial-temporal case clusters with scan statistic.


January 25, 2018

An Integrated Mosquito Surveillance Module in New York State

There were several stand-alone vector surveillance applications being used by the New York State Department of Health (NYSDOH) to support the reporting of mosquito, bird, and mammal surveillance and infection information implemented in early 2000s in response to West Nile virus. In subsequent years, the Electronic Clinical Laboratory Reporting System (ECLRS) and the Communicable Disease Electronic Surveillance System (CDESS) were developed and integrated to be used for surveillance and investigations of human infectious diseases and management of outbreaks.

July 10, 2017

Data Exchange Between Immunization Registry and Disease Surveillance System

New York State Department of Health (NYSDOH) implemented a Communicable Disease Electronic Surveillance System (CDESS), a single and secure application used by 57 local health departments (LHDs), hospital infection control programs and NYSDOH staff to collect, integrate, analyze, and report data for infectious disease surveillance. New York State Immunization Information System (NYSIIS) is a mandated application for providers to report all vaccinations of persons < 19 years old residing in New York State (excluding New York City).

August 31, 2017

A Tool to Improve Communicable Disease Surveillance Data

NYS (excluding NYC) has a very robust Communicable Disease Electronic Surveillance System (CDESS). This system provides disease specific modules, as well as a tracking system for contacts, and a perinatal infant tracking system. This system provides an easy way for users to quickly download a file with all of their data.

August 07, 2017

Carbon Monoxide Poisoning during Hurricane Sandy in Affected New York State Counties

CO poisoning is a leading cause of mortality and morbidity in disaster and post-disaster situations, when widespread power outages most likely occur (1, 2). The NYSDOH Syndromic Surveillance System receives daily ED visit chief complaint data from 140 NYS (excluding New York City) hospitals. Daily power outage data are available from the NYS Department of Public Service (NYSDPS). These data can be used to estimate the risk of CO-EDs and provide useful information for public health situational awareness and emergency response management during disaster events.

October 09, 2017

Tracking Communicable Disease Electronic Laboratory Data in New York State

All positive laboratory tests of reportable conditions on persons residing in New York State (NYS) are mandated to be sent to the NYS Department of Health (NYSDOH) via ECLRS. NYS, excluding New York City (NYC), receives over 100,000 ECLRS messages on general communicable diseases (CD) and hepatitis (HEP), not including Lyme disease and Influenza, annually. Although ECLRS is integrated with CDESS, the local health departments (LHD) need to review each lab report for proper initiation of a case investigation.

November 06, 2017

Using Hospital ED Data to Identify Mental Illness Trends After Hurricane Sandy

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. However, while rapid mental health assessment can facilitate a better understanding of the acute post-disaster period and aid early identification of persons at long-term risk,1 determining how wide a net to effectively capture the critical range of mental health sub-categories has not yet been clearly defined.

December 20, 2017

Early Detection of Possible Outbreaks from Electronic Laboratory Reports

New York State has implemented a statewide Electronic Clinical Laboratory Reporting System (ECLRS) to which laboratories can electronically submit test results for reportable conditions. The Communicable Disease Electronic Surveillance System (CDESS) was used by 57 Local Health Departments (LHDs) to transfer ECLRS information and initiate investigations. Currently over 98% of licensed clinical labs are reporting via ECLRS. Positive laboratory test results are required to confirm over 80% of communicable diseases and they are often the first indication of a disease.

August 22, 2018

Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide

The final rules released by the Centers for Medicare and Medicaid Services specified the initial criteria for eligible hospitals to qualify for an incentive payment by demonstrating meaningful use of certified Electronic Health Record (EHR) technology. Syndromic surveillance reporting is one of three public health objectives that eligible hospitals can choose for stage 1.

May 14, 2018

The Exploration of Various Methods for Shigella Outbreak Detection

Shigella remains highly infectious in the United States and rapid detection of Shigella outbreaks is crucial for disease control and timely public health actions. The New York State Department of Health (NYSDOH) implemented a Communicable Disease Electronic Surveillance System (CDESS) for local health departments (LHDs) to collect clinical and laboratory testing information and supplement epidemiologic information for the patients from New York State, excluding New York City, with infectious diseases.

May 02, 2019


Contact Us

NSSP Community of Practice



This website is supported by Cooperative Agreement # 6NU38OT000297-02-01 Strengthening Public Health Systems and Services through National Partnerships to Improve and Protect the Nation's Health between the Centers for Disease Control and Prevention (CDC) and the Council of State and Territorial Epidemiologists. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CDC is not responsible for Section 508 compliance (accessibility) on private websites.

Site created by Fusani Applications