One Health Prioritization of Rabies Risk in the Republic of Guinea: Integration of Human Knowledge, Canine Immunity, and Spatial Analysis
Tropical Medicine and Infectious Disease·
- DOI
- 10.3390/tropicalmed11080232
- PMID
- —
- PMCID
- —
- OpenAlex
- W7203769938
- Study type
- Journal article
- Publisher
- MDPI AG
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Achieving effective population-level protection requires synchronized efforts that address both animal immunization gaps and community educational needs. Aligning intervention tactics with localized risk profiles could optimize resource distribution for zoonotic disease mitigation.
Structured evidence summary
Research question
The study aims to construct a unified One Health evaluation that merges community behavioral metrics, canine antibody measurements, and geographic mapping to guide rabies control strategies in Guinea.
Study design
This secondary analytical project combines cross-sectional survey responses with laboratory serological testing. Researchers applied logistic regression and geospatial techniques to synthesize these inputs into a regional vulnerability index.
Population and setting
Data originated from multiple administrative zones within Guinea, encompassing responses from more than two thousand community participants and serological results from several hundred previously vaccinated dogs.
Main findings
Survey results indicated prevalent knowledge deficits, highly unfavorable attitudes, and frequent substandard animal handling practices. Although the majority of tested dogs exhibited protective antibody concentrations, declared immunization rates consistently failed to meet established program benchmarks nationwide. Statistical analysis demonstrated a positive association between owner awareness and canine vaccination, while the composite ranking system designated four specific areas for immediate operational focus.
Public-health relevance
Achieving effective population-level protection requires synchronized efforts that address both animal immunization gaps and community educational needs. Aligning intervention tactics with localized risk profiles could optimize resource distribution for zoonotic disease mitigation.
Important limitations
The reliance on a secondary analysis of existing datasets inherently limits temporal resolution and prevents causal inference. Furthermore, dependence on self-reported behavioral information and declared vaccination records introduces potential reporting inaccuracies.
GIDS interpretation
This work demonstrates a reproducible framework for merging disparate data categories into standardized geographic prioritization tools. It serves as a methodological reference for public health planners seeking to structure multidisciplinary inputs into actionable regional planning models.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.