One Health Surveillance and Early Warning for Zoonotic Diseases in Animal Health Systems

Zoonotic diseases emerge, persist, and spread through the connections between animal populations, human communities, and the environments they share. Detecting these risks early depends on surveillance that crosses sectoral boundaries, yet animal health, public health, and environmental monitoring are often organised separately, with different data systems, mandates, and priorities. The result is that signals visible in one sector are frequently missed by the others, and opportunities for early intervention are lost.This Research Topic focuses on surveillance and early-warning systems that integrate animal, human, and environmental information to detect and respond to zoonotic disease risks. We are interested in how such systems are designed, how well they perform, what makes intersectoral collaboration work in practice, and how surveillance evidence is converted into prevention, control, and policy. Contributions addressing emerging, re-emerging, and endemic zoonoses are equally welcome.We welcome contributions on themes including:o Design and evaluation of surveillance systems that integrate animal, human, and environmental data for the detection of zoonotic disease risks, including sentinel approaches, joint surveillance programmes, and assessments of system sensitivity, timeliness, and costo Risk-based surveillance and early-warning approaches for emerging, re-emerging, and endemic zoonoses at animal-human-environment interfaces, including risk mapping, hotspot identification, and targeting of limited surveillance resourceso Methods that enable integrated surveillance, including participatory, syndromic, genomic, spatial, environmental, and digital approaches, evaluated for what they add to cross-sectoral detection rather than as technical developments aloneo Intersectoral governance, data sharing, and coordination between veterinary, public-health, and environmental authorities, including institutional barriers, legal and ethical considerations, workforce capacity, and the economics of integrated surveillanceo From signal to action: translating surveillance evidence into prevention, outbreak preparedness, control measures, and veterinary or public-health policy, including evaluations of whether surveillance has changed decisions or outcomesStudies may address livestock, companion animals, wildlife, or vectors. Comparative and multi-country analyses are welcome, as are studies reporting implementation difficulties and negative findings, which are often underreported and highly informative forsurveillance design. Studies confined to a single sector, fall outside the scope of this collection.By bringing together evidence on system design, methods, governance, and use, this collection aims to show what integrated surveillance adds to zoonotic disease detection and control beyond what any single sector can achieve alone. The Research Topic supports SDG 3 (Good Health and Well-being) and contributes to SDG 13 (Climate Action) and SDG 15 (Life on Land) where surveillance addresses environmental and ecological drivers of disease. Topic editors: Folorunso Oludayo Fasina, Ferdaus Mohd Altaf Hossain, Clement Adebajo Meseko Source: https://www.frontiersin.org/research-topics/85946/one-health-surveillance-and-early-warning-for-zoonotic-diseases-in-animal-health-systems