Items Tagged with 'biosurveillance'

AI-enhanced biosurveillance, integrated sensor networks, and intelligent analytics have been framed as critical enablers of safer, more efficient food systems. At the same time, the field has begun to acknowledge that the same tools that drive efficiency and predictive power can also be turned against the food system itself. 

This article examines the need to always engage subject matter experts in the analysis of AI results for food safety in the context of biosurveillance and cognitive security.

Most prominent among wartime threats for U.S. food, agriculture, and water systems is the probability of continuous and coordinated cyberattacks and other forms of sabotage.

This article discusses an Information Sharing and Analysis Center (ISAC) for biosurveillance, with the aim of ensuring food safety as part of a food defense program. ISACs collect, analyze, and disseminate actionable threat information to their industry members and provide members with tools to mitigate risks and enhance resiliency.

This article discusses biosurveillance intelligence, surveillance, and reconnaissance for food processors, from a system design and operation standpoint.

In light of the global Highly Pathogenic Avian Influenza H5N1 (HPAI H5N1) outbreak, and considering the virus’ spread from poultry to dairy cows in North America, FAO has published recommendations for monitoring for HPAI H5N1 in cattle.

A recent study suggests that global control measures for Highly Pathogenic Avian Influenza (HPAI) H5N1 infection in poultry and dairy cattle are insufficient. Gaps in control measures exist, including resistance to modern vaccines and surveillance technologies.

U.S. federal, state, and local public health agencies authorities are currently investigating an ongoing outbreak of Highly Pathogenic Avian Influenza (HPAI), or "avian flu," among dairy herds nationwide. This article advocates the need for new technologies to address current and future food safety needs.

Whole genome sequencing (WGS) and hyperspectral imaging are proposed in a One Health context to be applied to biosurveillance.

A Biosurveillance Intelligence, Surveillance, and Reconnaissance (BISR) system would address two mission-critical requirements for biosurveillance to detect and prevent outbreaks: rapid detection and predictive analysis.