ArticlePLOS global public health2025
Moving from reactive response to proactive prevention of emerging infectious diseases: Socio-ecological systems mapping in the Democratic Republic of the Congo.
Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Strengthening One Health implementation at the national and subnational levels in the Democratic Republic of Congo: A 5-step implementation framework.One health (Amsterdam, Netherlands) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging infectious diseases such as Ebola and Mpox pose significant public health challenges in the Democratic Republic of the Congo (DRC). Effective prevention policies require a clear understanding of the socio-ecological systems (SES) in which these diseases emerge. This study examined the SES influencing emerging infectious disease prevention in the DRC through five participatory modelling workshops conducted at national, provincial, and community levels using causal loop diagrams (CLDs). Participants were selected through stakeholder analysis to ensure cross-sectoral representation. A structured process guided the co-creation of integrated system maps, beginning with disease-specific models and culminating in validated shared maps. A total of 162 stakeholders participated across the workshops, most of whom were affiliated with government institutions (83%), with smaller proportions from civil society, academia, and technical assistance organizations. The Agriculture and Animal Health sector represented 36% of participants, followed by Human Health (31%) and Environmental Health (13%). Most participants had over 10 years of experience. Analysis of the CLDs revealed that while the number of infected individuals remained the central driver triggering feedback responses, the mechanisms of influence differed by governance level. National and provincial systems were shaped by public investment in One Health systems, political commitment, and governance capacity, whereas community-level dynamics were dominated by socio-economic conditions, hunting practices, and local sensitization. Overall, the findings highlight that current governance remains largely reactive, emphasizing response over prevention. Strengthening One Health governance will require a shift toward proactive health promotion supported by institutionalized coordination, sustained investment, and inclusive community engagement.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.