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DIGITAL BIO-SURVEILLANCE

Google Flue trends did not work out so well when it was introduced. However, there has been a lot of progress whereby scanning digital media, especially social media, may provide us with information about an infectious outbreak before more traditional surveillance approaches, such as hospital visits. I read about a system named ARGUS out of Georgetown U. but would like to know what other systems are being used. TY
Biostatistics Public health
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ashokbiotech
Big data and digital tools are used in digital bio-surveillance to track, identify, and forecast biological threats like emerging pathogens, infectious diseases, and bioterrorism threats. It uses AI, machine learning, and bioinformatics to analyse data from a variety of sources, such as social media, health apps, genomic sequencing, and environmental monitoring. Applications include tracking antibiotic resistance, zoonotic spillover monitoring, and early disease detection. It improves the security of global health and facilitates prompt responses to outbreaks. Ensuring data privacy, reducing false information, and standardising procedures are among the difficulties. In a world that is becoming more interconnected, digital bio-surveillance is an essential tool for proactive public health management.

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Created
07/04/2022
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Creator
DMBerube