Sruthy S*

Independent Researcher, India

*Corresponding Author: Sruthy S, Independent Researcher, India.

Received: April 30, 2024Published: May 03, 2024

Abstract

Artificial intelligence has revolutionized various fields, and its potential impact on zoonotic disease surveillance is of utmost significane in the recent times. Zoonotic disease surveillance involves the systematic monitoring of diseases that can be transmitted from animals to humans. This surveillance is crucial for early detection, prevention, and control of outbreaks, as zoonotic diseases pose significant public health risks. Surveillance efforts typically include monitoring animal populations, identifying potential sources of infection, and tracking patterns of transmission. By closely monitoring these diseases, public health authorities can implement appropriate interventions, such as vaccination campaigns or improved animal husbandry practices, to reduce the risk of transmission to humans.

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Citation

Citation: Sruthy S. “Artificial Intelligence for Zoonotic Disease Surveillance: Preparedness for the Future". Acta Scientific Veterinary Sciences 6.6 (2024): 02-04.

Copyright

Copyright: © 2024 Sruthy S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.