Wearable Sensor Application for Integrated Early Warning and Health Surveillance

Wearable devices are a low cost, minimally invasive way to monitor health. Sensor data provides real-time physiological indictors of an individual’s health status without the requirement of health care professionals or facilities. Information gleamed from wearable sensors can be used to better understand physiological stressors and prodromal symptoms. In addition, this data can be used to monitor individuals that are in high risk of health-related problems.

January 25, 2018

Implementation of Integrated Disease Surveillance and Response (IDSR) in Swaziland

Swaziland adopted the Integrated Disease Surveillance and Response (IDSR) strategy in 2010 to strengthen Public Health Surveillance (PHS) that fulfills International Health Regulations (2005) and the Global Health Security Agenda (GHSA). This strategy allows the Ministry of Health (MoH), Epidemiology and Disease Control Unit (EDCU) to monitor, prevent and control priority diseases in the country. We used a health systems strengthening approach to pilot an intervention model for IDSR implementation at five hospitals in Swaziland over a pilot phase of three months.

January 25, 2018

Integrating data from disparate data systems for improved HIV reporting: Lessons learned

In 2015, the Indiana State Department of Health (ISDH) responded to a large HIV outbreak among persons who inject drugs (PWID) in Scott County. Information to manage the public health response to this event and its aftermath included data from multiple sources such as surveillance, HIV testing, contact tracing, medical care, and HIV prevention activities. Each dataset was managed separately and had been tailored to the relevant HIV program area’s needs, which is a typical practice for health departments.

January 19, 2018

Enhanced surveillance to monitor response to a provincial overdose emergency, Canada

On April 14, 2016, British Columbia (BC)’s Provincial Health Officer declared a public health emergency due to a significant increase in drug-related overdoses and deaths in the Province. Despite the declaration, 161 suspected drug overdose deaths were reported across the Province in December 2016, a 137% increase over the number of deaths occurring in the same month of 2015. In response to the surge overdoses, Vancouver Coastal Health Authority (VCH), one of 5 health regions within BC, rapidly implemented a number of novel harm reduction initiatives.

January 25, 2018

Tourism and Health Information System (THiS) in the Caribbean, June-September 2017

Travel and tourism pose global health security risks via the introduction and spread of disease, as demonstrated by the H1N1 pandemic (2009), Chikungunya (2013), and recent Zika virus outbreak. In 2016, nearly 60 million persons visited the Caribbean. Historically no regional surveillance systems for illnesses in visitor populations existed.

January 19, 2018

Developing a Prototype Opioid Surveillance System at a 2-Day Virginia Hackathon

At the Governor’s Opioid Addiction Crisis Datathon in September 2017, a team of Booz Allen data scientists participated in a two-day hackathon to develop a prototype surveillance system for business users to locate areas of high risk across multiple indicators in the State of Virginia. We addressed 1) how different geographic regions experience the opioid overdose epidemic differently by clustering similar counties by socieconomic indicators, and 2) facilitating better data sharing between health care providers and law enforcement.

January 25, 2018

A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems

In 2015, there were 212 million new cases of malaria, and about 429,000 malaria death, worldwide. African countries accounted for almost 90% of global cases of malaria and 92% of malaria deaths. Currently, malaria data are scattered across different countries, laboratories, and organizations in different heterogeneous data formats and repositories. The diversity of access methodologies makes it difficult to retrieve relevant data in a timely manner. Moreover, lack of rich metadata limits the reusability of data and its integration.

January 25, 2018

PLOS Disease Surveillance and Forecasting Channel

The PLOS Disease Forecasting and Surveillance Channel debuted on November 28, bringing together two related but distinct research communities – disease forecasting and syndromic surveillance. The Channel features research and commentary from PLOS journals and the broader literature. Explore recent research, projects and related content and follow the Channel for article updates.

March 29, 2018

Delay between Discharge and Admit Time Delay in ADT-A03 messages via LEEDS

The Infectious Disease Epidemiology Section (IDEpi) within the Office of Public Health (LaOPH) conducts syndromic surveillance of emergency departments by means of the Louisiana Early Event Detection System (LEEDS). LEEDS accepts ADT (admit-discharge transfer) messages from participating hospitals, predominately A04 (registration) and A03 (discharge), to obtain symptom or syndrome information on patients reporting to hospital emergency departments.

September 07, 2017

Early effect of validation efforts of Massachusetts syndromic surveillance data

As a participant in the National Syndromic Surveillance Program (NSSP), the Massachusetts Department of Public Health (MDPH) has worked closely with our statewide Health Information Exchange (HIE) and National Syndromic Surveillance Program (NSSP) technical staff to collect and transmit emergency department (ED) data from eligible hospitals (EHs) to the NSSP. Our goal is to ensure complete and accurate data using a multi-step process beginning with pre-production data and continuing after EHs are sending live data to production.

Objective

July 27, 2017

Pages

Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

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