ArticleOne health outlook2025
Quantitative risk modelling of human rabies in Ghana and Nigeria associated with West/Central African dog-trade.
Article in One health outlook, 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.
- Sociodemographic and Dog-Management Factors Associated With Free-Roaming Dogs in Nigeria and Sierra Leone.Transboundary and emerging diseases · 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
8 authors.
Funding
Abstract
backgroundThe practice of dog trade and butchery for human consumption is documented in some countries in Africa. Increasing demand for dog meat has resulted in increased transboundary movements of trade-dogs, which creates opportunities for the potential transmission of rabies. This study estimated the probability of rabies virus introduction into the dog slaughter environment, exposure among dog butchers, and the effectiveness of risk mitigation measures in Ghana and Nigeria.
methodsWe developed Quantitative Risk Analysis models for Ghana and Nigeria due to active within-country and transborder dog trade in both countries. The models quantified the risk of acquiring rabies among dog butchers in these countries and evaluated risk mitigation options, including butchers' vaccination, education, use of personal protective equipment (PPE), and dog vaccination. The models were parameterized based on data from published reports on activities related to dog trade and butchery and live interviews with butchers in selected dog markets. Experts' opinions were used for data triangulation, and sensitivity analyses were performed for variables in the models.
resultsEncounters with rabid dogs were much higher with the inclusion of transboundary dogs compared to in-country dogs only. This increased the probability estimates of rabies infection among butchers by 66.2% (6.5 to 10.8/850 butchers/yr) and 238.2% (16.5 to 55.8/1,750 butchers/yr) in Ghana and Nigeria, respectively. The probability of bite and consequent infection risk were key drivers of uncertainty in the models. Vaccination of 70% of the dog population as recommended by the World Health Organization could reduce butcher infections by 62% and 70% in Ghana and Nigeria, respectively. In comparison, appropriate post-exposure vaccination of butchers would reduce infections by 100% in both countries. Where optimal dog vaccination and subsidized butcher vaccination are nonexistent due to cost and other logistics, continuous butcher education combined with enforced use of PPE could drastically reduce exposure risk.
conclusionCreating awareness of the importance of dog trade and butchering as potential occupational sources of rabies transmission, and regulation of dog trade in affected countries are critical for the realization of the global target of "Zero Dog-Mediated Human Rabies by 2030".
Indexed as
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.