National Collaborative for Bio-Preparedness

The National Collaborative for Bio-Preparedness (NCB-Prepared) was established in 2010 to create a biosurveillance resource to enhance situational awareness and emergency preparedness. This jointinstitutional effort has drawn on expertise from the University of North Carolina- Chapel Hill, North Carolina State University, and SAS Institute, leveraging North Carolina’s role as a leader in syndromic surveillance, technology development and health data standards. As an unprecedented public/private alliance, they bring the flexibility of the private sector to support the public sector.

June 25, 2018

Using Search Volume for Surveillance of Medication Prescribing

Investigators have used the volume of internet search queries to model disease incidence, especially influenza and general consumer behavior [1]. Our group has used search volume to model interest in FDA safety alerts and adverse drug event incidence. We found evi- dence of changes in search behavior following warnings and the ex- pected relationship between search volume and adverse drug event incidence. Thus, search volume may help provide near real time sur- veillance of drug use patterns to help monitor and mitigate risk to the population from adverse drug events.

July 16, 2018

SurSaUD Software: A Tool to Support the Data Management, the Analysis and the Dissemination of Results from the French Syndromic Surveillance System

The French syndromic surveillance system SurSaUD was set up by the French institute for public health surveillance (InVS) in 2004. The system is based on three main data sources: 1) the attendances in the Emergency departments (ED), 2) the consultations to emergency General Practitioners’ associations SOS Médecins, 3) the mortality data from civil status offices and e-certificates.

July 02, 2018

Paralysis Analysis: Investigating Paralysis Visit Anomalies in New Jersey

On July 11, 2012, New Jersey Department of Health (DOH) Communicable Disease Service (CDS) surveillance staff received email notification of a statewide anomaly in EpiCenter for Paralysis. Two additional anomalies followed within three hours. Since Paralysis Anomalies are uncommon, staff initiated an investigation to determine if there was an outbreak or other event of concern taking place. Also at question was whether receipt of multiple anomalies in such a short time span was statistically or epidemiologically significant.


July 09, 2018

A new interpretation of the inference test for the spatial scan statistic

Spatial cluster analysis is considered an important technique for the elucidation of disease causes and epidemiological surveillance. Kulldorff's spatial scan statistic, defined as a likelihood ratio, is the usual measure of the strength of geographic clusters. The circular scan, a particular case of the spatial scan statistic, is currently the most used tool for the detection and inference of spatial clusters of disease.

May 02, 2019

An exploratory analysis of the 2010 measles outbreak in Zimbabwe

This report describes an exploratory analysis of the 2009-2010 Zimbabwe measles outbreak based on data publicly available in the World Health Organization's Zimbabwe cholera epidemiological bulletin archive. As of December 12th 2010, the outbreak appears to have ended after it is suspected to have caused 13,783 infections, 693 of those being confirmed IgM positive, and 631 deaths.


May 02, 2019

SAGES: a suite of freely available software tools for electronic disease surveillance in resource-limited settings

Emerging and re-emerging infectious diseases are a serious threat to global public health. The World Health Organization (WHO) has identified more than 1100 epidemic events worldwide in the last 5 years alone. Recently, the emergence of the novel 2009 influenza A (H1N1) virus and the SARS coronavirus has demonstrated how rapidly pathogens can spread worldwide. This infectious disease threat, combined with a concern over man-made biological or chemical events, spurred WHO to update their International Health Regulations (IHR) in 2005.

June 24, 2019

Using GIS for Surveillance

Michael A. Horst, PhD, MPHS, MS, joined the April 2010 ISDS Literature Review to present his recent publication, "Observing the Spread of Common Illnesses Through a Community: Using Geographic Information Systems (GIS) for Surveillance," from the Journal of the American Board of Family Medicine.The Literature Review Subgroup found this article particularly important becase it represents an initiative to link health risk mapping with cluster detection methods that many health monitors employ.

October 20, 2017

Applications of Bayesian Statistics for Biosurveillance

For its January 2010 meeting, the ISDS Research Committee hosted a topical webinar on the "Applications of Bayesian Statistics for Biosurveillance," to address questions including:

September 25, 2017

Mixture Likelihood Ratio Scan Statistic for Disease Outbreak Detection

This article describes the methodology and results of Team #134ís submission to the 2007 ISDS Technical Contest.

July 30, 2018


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