ArticleAnimals : an open access journal from MDPI2023
Modelling the Unidentified Abortion Burden from Four Infectious Pathogenic Microorganisms (
Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.BMC public health · 2026Article
- Overcoming Batch Variability: A Chemically Defined XRS-Based System for Ovine In Vitro Embryo Production.Veterinary medicine international · 2026Article
- The role of artificial intelligence in Latin American ruminant production systems.Animal frontiers : the review magazine of animal agriculture · 2024Article
- Seroprevalence and Risk Factors Associated withAnimals : an open access journal from MDPI · 2024Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unidentified abortion, of which leptospirosis, brucellosis, and ovine enzootic abortion are important factors, is the main cause of disease spread between animals and humans in all agricultural systems in most developing countries. Although there are well-defined risk factors for these diseases, these characteristics do not represent the prevalence of the disease in different regions. This study predicts the unidentified abortion burden from multi-microorganisms in ewes based on an artificial neural networks approach and the GLM.
methodsA two-stage cluster survey design was conducted to estimate the seroprevalence of abortifacient microorganisms and to identify putative factors of infectious abortion.
resultsThe overall seroprevalence of
conclusionsSensitizing stakeholders on good agricultural practices could improve public health surveillance. Further studies on the effect of animal-human transmission in such a setting is worthwhile to further support the One Health initiative.
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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.