Multidimensional Semantic Scan for Pre-Syndromic Disease Surveillance

An interdisciplinary team convened by ISDS to translate public health use-case needs into well-defined technical problems recently identified the need for new pre-syndromic surveillance methods that do not rely on existing syndromes or pre-defined illness categories1.

June 18, 2019

Field-based Evaluation of Malaria Outbreak Detection & Response, Mudzi and Goromonzi

Infectious disease outbreaks, such as the Ebola outbreak in West Africa, highlight the need for surveillance systems to quickly detect outbreaks and provide data to prevent future pandemics. The World Health Organization (WHO) developed the Joint External Evaluation (JEE) tool to conduct country-level assessments of surveillance capacity. However, considering that outbreaks begin and are first detected at the local level, national-level evaluations may fail to identify capacity improvements for outbreak detection.

June 18, 2019

Outbreak of ED visits related to the use of synthetic cannabinoids, Mayotte Island

On October 2016, the Indian Ocean Regional Health Agency was alerted about an increase in ED visits related to adverse reactions associated with use of SC on Mayotte Island. In this context, an investigation based on a syndromic surveillance system was implemented by the regional unit of the French national public health agency.

Objective:

To confirm and to characterize the increase in emergency department (ED) visits related to the use of synthetic cannabinoids (SC).

January 21, 2018

Comparison of statistical algorithms for syndromic surveillance aberration detection

Syndromic surveillance involves monitoring big health datasets to provide early warning of threats to public health. Public health authorities use statistical detection algorithms to interrogate these datasets for aberrations that are indicative of emerging threats. The algorithm currently in use at Public Health England (PHE) for syndromic surveillance is the ‘rising activity, multi-level mixed effects, indicator emphasis’ (RAMMIE) method (Morbey et al, 2015), which fits a mixed model to counts of syndromes on a daily basis.

January 21, 2018

Burden and Trend of Measles in Nigeria: Five-year Review Case-base Surveillance Data

Measles is a vaccine preventable, highly transmissible viral infection that affects mostly under-five year children. The disease is caused by a Morbillivirus; member of the Paramyxovirus family.

Objective:

We reviewed measles specific Integretaged Disease Surveillance and Response (IDSR) data from Nigeria over a five-year period to highlights its burden and trends, and make recommendations for improvements.

January 19, 2018

Evaluating Twitter for Foodborne Illness Outbreak Detection in New York City

An estimated one in six Americans experience illness from the consumption of contaminated food (foodborne illness) annually; most are neither diagnosed nor reported to health departments1. Eating food prepared outside of the home is an established risk factor for foodborne illness2. New York City (NYC) has approximately 24,000 restaurants and >8.5 million residents, of whom 78% report eating food prepared outside of the home at least once per week3.

January 19, 2018

Improving Public Health Preparedness: Strengthening Biosurveillance Systems for Enhanced Situational Awareness

This report is designed to aid state, territorial, tribal, and local public health leaders as they improve their capacity to achieve situational awareness during a public health emergency. We intend this report to serve as a concise reference work public health leaders can use to help design and manage biosurveillance systems to be used during an anticipated public health emergency.

September 06, 2017

Current assessment of risks of anthrax outbreaks in Ukraine

Anthrax is an acute especially dangerous infectious disease of animals and humans. Bacillus anthracis is a potential bioterrorism tool. In Ukraine, there are favorable natural conditions for the spread of anthrax. There are 13.5 thousand of constantly anthrax-troubled points. Anthrax epidemic situation in Ukraine could be characterized as unstable. Because of the continuing reform of Ukrainian human health entities, the State Sanitary Epidemiological Service (SSES) has lost its control functions and is remaining in an uncertain state, which increases possible risks.

September 07, 2017

Anthrax in Human and Livestock: Investigation and Response, Turkana-Kenya, 2012

Timely outbreak response requires effective early warning and surveillance systems. This investigation points out the important role that livestock keepers can play in veterinary surveillance. The investigation revealed that pastoralists had good traditional knowledge concerning livestock diseases in general and anthrax in particular. They provided detailed and accurate clinical descriptions of the disease, had greater appreciation of the risk factors associated with the disease, and showed a stronger recall of the outbreak history.

September 25, 2017

Value of evidence from syndromic surveillance with delayed reporting

Taking into account reporting delays in surveillance systems is not methodologically trivial. Consequently, most use the date of the reception of data, rather than the (often unknown) date of the health event itself. The main drawback of this approach is the resulting reduction in sensitivity and specificity1. Combining syndromic data from multiple data streams (most health events may leave a “signature” in multiple data sources) may be performed in a Bayesian framework where the result is presented in the form of a posterior probability for a disease2.

August 26, 2017

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