Table 3.

Studies on the OHA operationalization to prevent zoonotic diseases.

Reference	Study design	Method of operationalization	Specific disease	Scale	Outcomes
[26]	Cross-sectional	PP⁎: Multi-stakeholder workshop	KFD	National: India	Although co-production in OH is challenging and resource intensive, improved intersectoral collaboration can facilitate successful OH operationalization.
[35]	Cross-sectional	Integrated data source modelling	Lyme disease	Regional: Quebec	Social-behavioural and ecological components are important to predict Lyme disease occurrence at local levels.
[36]	Cross-sectional	PP: decision support tool	No	N/A	This tool is a valuable source of guidance and information to facilitate decision-making between OH risk assessment approaches.
[12]	Literature review	Framework for OH operationalization	No	Global	Open data sharing, open science, & international collaboration are required within an OHA to prevent future pandemics.
[27]	Cross-sectional	Data prediction modelling	KFD	National: India	Co-producing integrated risk maps is an important step in managing zoonotic diseases.
[37]	Cross-sectional	PP: One Health Zoonotic Disease Prioritization tool (OHZDP)	No	All scales	OHZDP offers a transparent and timely process for collaborative zoonoses prioritization tasks.
[33]	Cross-sectional	PP: OHZDP tool	No	National: Uganda	The OHZDP tool can facilitate the development of zoonoses-specific multisectoral disease control and prevention strategies.
[28]	Cross-sectional	PP: OHZDP tool	No	Regional: Haryana state, India	OHZDP can help formulate effective monitoring, prevention, and control strategies for zoonoses in regional settings.
[38]	Cross-sectional	PP: OH Systems Mapping and Analysis Resource Toolkit (SMART)	No	Global	OH-SMART can strengthen OH systems and can foster multi-sectoral collaboration.
[30]	Cross-sectional	PP: OHZDP tool	No	Local: Ahmedabad, India	Prioritizing zoonotic diseases on the local level is essential for developing OH strategies.
[34]	Cross-sectional	PP: OHZDP tool	No	National: Ethiopia	The OHZDP tool can foster multi-sectoral collaboration using quantitative and qualitative methods.
[29]	Case study	PP: adaptation of a sensitivity model & use of systems thinking	No	Local: Ahmedabad, India	Prioritizing zoonotic diseases is essential for developing effective OH strategies
[39]	Literature review	Bio-surveillance framework for OH operationalization	No	Global	Integration of bio-surveillance components is essential to build effective disease management strategies.

^⁎PP: Participatory process.