ArticleFrontiers in veterinary science2020
Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland.
Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 37 citations in OpenAlex.
- Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014-2021.PLoS computational biology · 2026Article
- Risk factors for highly pathogenic avian influenza outbreaks in Japan during 2022-2023 season identified by additive Bayesian network modeling.Scientific reports · 2025Article
- Feline Calicivirus Infection: Current Understanding and Implications for Control Strategies.Animals : an open access journal from MDPI · 2025Review
- Household satisfaction with health services and response strategies to malaria in mountain communities of Uganda.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025Article
- Analysis of the Associations of Measurements of Body Composition and Inflammatory Factors with Cardiovascular Disease and Its Comorbidities in a Community-Based Study.Biomedicines · 2024Article
- Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study.International journal of molecular sciences · 2024Article
- Antimicrobial Susceptibility in Respiratory Pathogens and Farm and Animal Variables in Weaned California Dairy Heifers: Logistic Regression and Bayesian Network Analyses.Antibiotics (Basel, Switzerland) · 2024Article
- Multivariate variable selection in N-of-1 observational studies via additive Bayesian networks.PloS one · 2024Article
- Evaluation of risk factors for treatment failure in canine patients undergoing photoactivated chromophore for keratitis - corneal cross-linking (PACK-CXL): a retrospective study using additive bayesian network analysis.BMC veterinary research · 2023Article
- Network analysis to evaluate complexities in relationships among fermentation variables measured within continuous culture experiments.Journal of animal science · 2023Article
- Calicivirus Infection in Cats.Viruses · 2022Review
- Predicting COVID-19 community infection relative risk with a Dynamic Bayesian Network.Frontiers in public health · 2022Article
- Additive Bayesian network analysis of the relationship between bovine respiratory disease and management practices in dairy heifer calves at pre-weaning stage.BMC veterinary research · 2021Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bayesian network (BN) modeling is a rich and flexible analytical framework capable of elucidating complex veterinary epidemiological data. It is a graphical modeling technique that enables the visual presentation of multi-dimensional results while retaining statistical rigor in population-level inference. Using previously published case study data about feline calicivirus (FCV) and other respiratory pathogens in cats in Switzerland, a full BN modeling analysis is presented. The analysis shows that reducing the group size and vaccinating animals are the two actionable factors directly associated with FCV status and are primary targets to control FCV infection. The presence of gingivostomatitis and
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