Published in PLOS One on 2026-04-16, this study is presented as an attributed evidence briefing. The excerpts below are the original researchers’ words, reproduced under their Creative Commons Attribution licence. Health Signal has selected the abstract and, where needed, opening background paragraphs; the complete methods, results, limitations and references remain in the linked paper.
Original authors: Joannishka K Dsani, Sherry Ama Mawuko Johnson, Sandul Yasobant, Walter Bruchhausen, Asokan Govindaraj Vaithinathan, Aravindh Babu Ramasamy Parthiban, Julian Ruiz-Saenz
Source: PLOS One • DOI 10.1371/journal.pone.0347471
Read the complete primary study ↗ · Creative Commons Attribution licence
From the researchers
Abstract
The One Health approach has gained global traction as a strategy to combat zoonotic diseases, which account for 60–75% of emerging infectious diseases. While effective surveillance requires intersectoral collaboration, challenges such as fragmented systems, resource constraints, and weak coordination hinder efforts, particularly in low- and middle-income countries like Ghana. This qualitative study explores the factors influencing collaboration in zoonotic disease surveillance and response at the operational level, providing insights to strengthen intersectoral collaboration and improve public health outcomes across human, animal and wildlife sectors. Using reflexive thematic analysis, we analyzed interviews with 66 professionals from the human, animal, and wildlife health sectors, all directly involved in zoonotic disease surveillance and response. The findings reveal individual factors (interpersonal relationships, personal initiative, motivations, professional hierarchy, shared interests) and structural factors (financial resources, workforce availability, the governance and organization of surveillance and response systems, institutional visibility, knowledge systems) that shape collaboration dynamics. Additionally, positive outcomes from past collaborations created reinforcing cycles that influenced future engagement. Participants shared expectations of improved efficiency, strengthened disease surveillance, and enhanced resource pooling from future collaboration. Despite the global push for intersectoral collaboration, operational-level challenges persist. While grounded in a Ghanaian context, the types of factors identified likely resonate across resource-limited settings, though their specific manifestations and relative importance may vary by context. These findings underscore the broader need for stronger governance, equitable partnerships, and realistic alignment of stakeholder expectations to foster sustainable One Health collaboration and enhance zoonotic disease surveillance globally.
Introduction
Zoonotic diseases account for 60−75% of emerging infectious diseases, posing a significant health threat [1–3]. Outbreaks of COVID-19, Highly Pathogenic Avian Influenza (HPAI), Ebola, and Marburg illustrate how rapidly these diseases can spread, disrupting economies, agriculture, and food production [4,5]. The risk of zoonotic disease transmission is particularly high in low- and middle-income countries (LMICs), where frequent human-animal interactions facilitate zoonotic spillover, while weak surveillance systems and limited public health infrastructure impede effective detection and response [6–8]. Over the past two decades, zoonotic diseases have caused approximately 30,000 human infections in sub-Saharan Africa [9]. Climate change is expected to exacerbate the spread of zoonotic diseases, altering their epidemiology, and increasing the severity of vector-borne, waterborne, foodborne, and airborne infections [10,11].
The One Health approach, which recognizes that human, animal, and environmental health are interconnected and require integrated actions, has gained global momentum as a strategy to combat zoonotic diseases [12–14]. Effective disease surveillance requires intersectoral collaboration; however, governance challenges, fragmented systems, resource constraints and poor communication often hinder these collaborative efforts [12–14]. In LMICs like Ghana, translating One Health principles into practical, sustained collaboration at the operational level remains a major challenge due to limited guidance and weak intersectoral coordination [13].
Reading this evidence
Use the full paper to check the study design, participant selection, comparator and outcome definitions before drawing a practical conclusion. An association does not by itself show cause and effect. A reported performance measure needs its denominator and uncertainty. A finding from a particular facility, sample or time period should retain that scope when it is discussed elsewhere.
This briefing makes the source accessible within the wider financing & policy desk. It does not assess an individual patient or certify a product. When considering relevance to another health system, examine the original authors’ account of context and limitations, then seek local implementation evidence. The related reporting below provides other studies to read alongside this one; it is a topic connection, rather than a claim that their results are directly comparable.
© 2026 Joannishka K Dsani, Sherry Ama Mawuko Johnson, Sandul Yasobant, Walter Bruchhausen, Asokan Govindaraj Vaithinathan, Aravindh Babu Ramasamy Parthiban, Julian Ruiz-Saenz. Excerpts reproduced under CC BY. Selection, formatting and contextual notes by Health Signal. The researchers are the authors of the source study, not members of Health Signal’s staff.
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