Artificial Intelligence for Mitigating the Spread of Communicable Diseases: Elephant Health and Population in the Dooars Region of North Bengal

Rabin Kumar Mullick; Rakesh Kumar Mandal

doi:10.5281/zenodo.19274869

Authors

Rabin Kumar Mullick University of North Bengal, Raja Rammohunpur, Darjeeling, West Bengal, India
Rakesh Kumar Mandal University of North Bengal, Raja Rammohunpur, Darjeeling, West Bengal, India

DOI:

https://doi.org/10.5281/zenodo.19274869

Keywords:

Artificial Intelligence, Elephant, One Health, Dooars, North Bengal

Abstract

The Dooars area of North Bengal is a highly sensitive border of built-up population and migratory elephant routes. This closeness forms a special avenue through which communicable diseases are passed. In this paper, the authors discuss the potentials of Artificial Intelligence (AI) to track the health of elephants, anticipate their behavior, and prevent the probability of a zoonotic spillover. After incorporating a single concept of health data with remote sensing, bioacoustics, and predictive modeling, AI provides a proactive design to the protection of the elephant conservation and health. In this paper, the author suggests a research agenda, outlines a conceptual model, explains methods of experiment and evaluation, ethical and implementation issues, and policy suggestions. It is aimed at practical, fair AI that will lower the risk of zoonotic and communicable diseases without undermining the health and maintenance of the elephants.

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