by Mike Critelli,
Introduction
Zoonotic diseases are infections transmitted from animals to humans. These diseases pose a significant global health threat, as evidenced by past outbreaks such as the Ebola virus, SARS, and bird flu outbreaks. With rapid globalization and increased human-animal interactions affecting disease transmission patterns, innovative solutions to detect and prevent zoonotic diseases are urgently needed.
Artificial Intelligence (AI) has emerged as a powerful tool that can help monitor, predict, and mitigate the spread of zoonotic infections through advanced data analytics, machine learning, and automation. AI can be leveraged in the early detection, monitoring, and prevention of zoonotic disease transmission.
AI in Early Detection of Zoonotic Diseases
One critical aspect of controlling zoonotic diseases is early detection. AI plays a pivotal role in analyzing vast amounts of data to identify patterns and predict potential outbreaks before they escalate. Several approaches illustrate how AI contributes to early detection: