Post-Rasuwa Flash Flood: The Potential Use of Artificial Intelligence in Infectious Disease Surveillance

Authors

  • Sher Bahadur Pun Clinical Research Unit, Sukraraj Tropical and Infectious Disease Hospital, Kathmandu, Nepal
  • Krishna Prasad Acharya Animal Disease Investigation and Control Division (ADICD), Department of Livestock Services (DLS), Hariharbhawan, Lalitpur, Nepal

DOI:

https://doi.org/10.33314/jnhrc.v24i02.5832

Abstract

Nepal frequently experiences natural disasters, including floods. On 26 August 2026, the Rasuwa flash floods struck Nepal, resulting in hundreds of deaths, and leaving thousands of people missing. Infectious diseases represent an important public health concern in the aftermath of such disasters. Evidence on the use of artificial intelligence (AI) for post flash flood infectious disease risk assessment remains limited. Here, we discuss the potential integration of AI as a complementary decision-support tool to strengthen infectious disease risk assessment and early warning following Rasuwa flash flood disaster in Nepal.
Keywords: Artificial intelligence; Infectious diseases; Nepal; Rasuwa flash flood.

Additional Files

Published

2026-10-15

Issue

Vol. 24 No. 02 (2026): Issue 71 April-June

Section

Viewpoint

License

Copyright (c) 2026 Sher Bahadur Pun, Krishna Prasad Acharya

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.