By leveraging next generation sequencing (NGS) technologies and the technologies that automate NGS workflows the food industry will have the tools and information it needs to proactively identify threats and prevent outbreaks from occurring.
Advances in information technology, data science, analytic methods, and information sharing enable enhanced surveillance.
Data derived from health records, Internet resources, and social media is being used to combat infectious diseases and deadly outbreaks.
The White House has released a report that outlines an anticipatory, and data-driven approach to emerging infectious diseases.
Investigators have advocated for the use of hybrid systems which combine traditional disease surveillance with big data analytics.
Apollo Hospitals, Asia’s largest healthcare group, is using an analytics solution that analyzes clinical information in conjunction with microbiology information, laboratory information, and antibiotic information to control hospital acquired infections.
Genetic researchers have used big data to map HIV epidemics – now they hope that same technique can be used to respond to outbreaks of Ebola, Zika, and flu in real time.
Digital technologies are now being used for things like deep-learning algorithms and artificial intelligence to mine information from sources that are otherwise useless or inaccessible.
The US Centers for Disease Control and Prevention, working with Lockheed Martin, cut the process time for infectious disease data analysis from months to days with a cloud-based toolkit.
Sensors and Cloud technology aid in biosecurity.