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What is it about?
The research explores the One Health paradigm as an innovative strategy to address the transmission of zoonotic diseases from animals to humans and their environment. It employs advanced technology, global collaboration, and data-driven decision-making to enhance worldwide disease responses. The research highlights the interconnectedness of humans, animals, and the environment, analyzing the complex interplay of human, environmental, and animal determinants that influence disease risk. The methodology involves the integration of human, animal, and ecosystem health through a One Health Surveillance System, which includes Human Health Surveillance, Animal Health Surveillance, and Environmental Health Surveillance. The research leverages Big Data and Artificial Intelligence as significant tools within this system to form a robust early-warning approach. The main findings demonstrate the system's potential to revolutionize the monitoring, understanding, and mitigation of infectious diseases on a global scale by unveiling the intricate web of infectious disease dynamics and enabling effective responses.
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Why is it important?
This study is important as it emphasizes the One Health paradigm as a critical strategy for addressing the growing threat of zoonotic disease transmission from animals to humans. By recognizing the interconnectedness of human, animal, and environmental health, the research proposes an integrated approach to disease surveillance and response. This paradigm is significant as it aims to revolutionize global health monitoring and mitigation efforts using advanced technology, global collaboration, and data-driven decision-making, ultimately enhancing the capacity to manage infectious disease risks on a global scale. Key Takeaways: 1. Integrated Surveillance Framework: The study presents the One Health Surveillance System, which combines Human Health, Animal Health, and Environmental Health Surveillance, forming a comprehensive early-warning mechanism for infectious disease dynamics. 2. The Role of Big Data and AI: The research highlights the use of Big Data and Artificial Intelligence as pivotal tools in enhancing the effectiveness of the One Health Surveillance System, facilitating better prediction, management, and prevention of disease outbreaks. 3. Ecosystem and Health Integration: By advocating for the integration of human, animal, and ecosystem health, the study underscores the need for interdisciplinary collaboration and stakeholder engagement to address complex health challenges sustainably and effectively.
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This page is a summary of: Holistic One Health Surveillance Framework: Synergizing Environmental, Animal, and Human Determinants for Enhanced Infectious Disease Management, ACS Infectious Diseases, February 2024, American Chemical Society (ACS),
DOI: 10.1021/acsinfecdis.3c00625.
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