Local news has the potential to aid in detection of antimicrobial resistance (AMR) risks. However, articles may be in local languages or be too numerous for humans to read in full. In this project, we will use Selenium to scrape the internet for AMR-related stories around from regions of interest then apply public large language models to extract relevant information from the articles (type of threat, location, number of people affected, antibiotics administered etc.) for storage in a global AMR surveillance spreadsheet
How to Use ChatGPT for Web Scraping in 2024
ChatGPT web scraping (with a bot) | axiom.ai
Using ChatGPT to build a database from web scraping? : r/ChatGPTCoding
Global Antimicrobial Resistance and Use Surveillance System (GLASS)
worldhealthorg.shinyapps.io/glass-dashboard/
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Tracking Antibiotic Resistance | CDC
JN.1 Covid variant: WHO charts its rapid global spread - BBC News