PHIN-MS deployment acceptability survey for the data transfer of syndromic data between hospitals and public health

PHIN-MS can send and receive data securely and automatically. It is used by many hospitals in the state(s) to send data to the South Carolina Department of Health and Environmental Control (SC DHEC) for both our National Electronic Disease Surveillance System and our South Carolina Early Aberration Alerting Network syndromic surveillance system.

Objective

June 25, 2019

Performance of machine learning method to classify free-text medical causes of death

Mortality is an indicator of the severity of the impact of an event on the population. In France mortality surveillance is part of the syndromic surveillance system SurSaUD and is carried out by Santé publique France, the French public health agency. The set-up of an Electronic Death Registration System (EDRS) in 2007 enabled to receive in real-time medical causes of death in free-text format. This data source was considered as reactive and valuable to implement a reactive mortality surveillance system using medical causes of death (1).

June 18, 2019

Evaluation of First Electronic Case Reports received in Illinois

Communicable disease reporting from providers can be a time-consuming process that results in delayed or incomplete reporting of infectious diseases, limiting public health's ability to respond quickly to prevent or control disease. The recent development of an HL7 standard for automated Electronic initial case reports (eICR) represents an important advancement for public health surveillance.

June 18, 2019

Evaluation of Animal Rabies Surveillance System, Ekiti State, Nigeria, 2012-2017

Rabies is a zoonotic, neglected viral disease. Every 10 minutes, the world loses a life, especially children, to dog-mediated rabies. Yet it is 100% preventable. Africa, including Nigeria, has major share of the disease. Eradication of human rabies relies majorly on control of rabies in animals and this cannot be achieved without good surveillance system of the disease in animal, especially dogs. There is little or no information as to whether the surveillance system in Nigeria is effective.

June 18, 2019

Using Evaluation to Inform the BioSense Platform: Results from a 2018 Survey

Since 2015, CDC’s Division of Health Informatics and Surveillance staff have conducted evaluations to provide information on the utility, functionality, usability and user satisfaction associated with the National Syndromic Surveillance Program’s BioSense Platform tools.

June 18, 2019

Impact of the NSSP’s transition to ESSENCE on chief complaint field-based syndromes

In January 2017, the NSSP transitioned their BioSense analytical tools to Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE). The chief complaint field in BioSense 2.0 was a concatenation of the record's chief complaint, admission reason, triage notes, and diagnostic impression. Following the transition to ESSENCE, the chief complaint field was comprised of the first chief complaint entered or the first admission reason, if the chief complaint was blank.

January 21, 2018

Comparison of National and Local Syndromic Surveillance Data - Cook County, IL, 2017

In 2005, the Cook County Department of Public Health (CCDPH) began using the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) as an emergency department (ED)-based local syndromic surveillance program (LSSP); 23 (100%) of 23 hospitals in suburban Cook County report to the LSSP. Data are transmitted in delimited ASCII text files (i.e., flat files) and contain a unique patient identifier, visit date and time, zip code, age, sex, and chief complaint. Discharge diagnosis and disposition are optional data elements.

January 21, 2018

Approaching Evaluations of Surveillance System Pilots through an Ownership Perspective

Pilot projects help determine utility and feasibility of a system, but even if considered successful, cost could prevent further scale-up. When evaluating a surveillance system pilot, cost and benefits are key factors to examine. In Cote d’Ivoire and Tanzania, Ministry of Health (MoH) and non-governmental partners receive funding under the Global Health Security Agenda to strengthen disease surveillance for earlier detection and improved response to potential infectious disease outbreaks.

January 21, 2018

Public Health Impact of Syndromic Surveillance Data—A Literature Survey

Systematic syndromic surveillance is undergoing a transition. Building on traditional roots in bioterrorism and situational awareness, proponents are demonstrating the timeliness and informative power of syndromic surveillance data to supplement other surveillance data.

Objective:

To assess evidence for public health impact of syndromic surveillance.

January 21, 2018

Are the French SAMU data relevant for health surveillance?

The syndromic surveillance SurSaUD® system developed by Sante© publique France, the French National Public Health Agency collects daily data from 4 data sources: emergency departments (OSCOUR® ED network), emergency general practioners (SOS Medecins network), crude mortality (civil status data) and electronic death certification including causes of death. The system aims to timely identify, follow and assess the health impact of unusual or seasonal events on emergency medical activity and mortality.

January 25, 2018

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National Syndromic
Surveillance Program

Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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