One Health epidemiology: A scoping systematic review of observational studies and their epidemiologic units

Villanueva-Cabezas, Juan-Pablo; Barot, Max; Campbell, Patricia T.; Dardis, Lauren; Ortega-Pajares, Amaya

Abstract

Background: The One Health approach, which integrates human, animal, and environmental health, is crucial for addressing complex global health threats. However, the epidemiological methods underpinning this approach have not been systematically evaluated. Methods: We conducted a scoping systematic review to characterise the design of self-labelled observational One Health epidemiological studies, define their epidemiologic units, and assess their adherence to the Checklist for One Health Epidemiological Reporting of Evidence (COHERE). We searched Ovid Medline, Scopus, and CABI for observational studies published since 2004 with the term "One Health" in the title. Results: From 1874 unique records, 79 studies were included. Our analysis revealed a marked increase in publications since 2020, and predominance of cross-sectional designs (79.7%). We classified epidemiologic units as either "singular" (e.g., households, farms), where components are naturally co-located, or "intended" (e.g., villages, communities), where domains are sampled independently within a geographic boundary. Intended units were more common, reflecting practical challenges in integrated sampling. The assessment of 23 studies that included all three One Health domains against the COHERE checklist revealed strong adherence to conceptual items, such as justifying the One Health approach (100%). However, we found significant reporting gaps in various methodological areas, including the description of the interdisciplinary study team (13% compliance), results for animal participants (34.8%), and environmental findings (60.9%). Conclusions: One Health epidemiology is a rapidly expanding field, but it is characterised by methodological heterogeneity and inconsistent reporting. Future progress depends on developing integrated analytical frameworks that can manage multi-domain complexity and promote better adherence to reporting standards like COHERE. This will enhance methodological rigour, improve study replicability, and strengthen the evidence base for policies that protect human, animal, and ecosystem health.

Más información

Título según WOS: ID WOS:001699441100002 Not found in local WOS DB
Título de la Revista: CABI ONE HEALTH
Volumen: 5
Número: 1
Editorial: CABI Publishing
Fecha de publicación: 2026
DOI:

10.1079/cabionehealth.2026.0003

Notas: ISI