Login / Signup

Examining geospatial and temporal distribution of invasive non-typhoidal Salmonella disease occurrence in sub-Saharan Africa: a systematic review and modelling study.

Jong-Hoon KimBieke TackFabio FiorinoElena PettiniChristian MarchelloJan JacobsJohn A CrumpFlorian Marksnull null
Published in: BMJ open (2024)
The iNTS disease occurrence varied greatly across sub-Saharan Africa, with certain regions being disproportionately affected. Exploring regions at high risk for iNTS disease, despite the limitations in our data, may inform focused resource allocation. This targeted approach may enhance efforts to combat iNTS disease in more affected areas.
Keyphrases
  • risk assessment
  • escherichia coli
  • electronic health record
  • machine learning
  • cancer therapy
  • deep learning
  • artificial intelligence
  • data analysis