ArticlePloS one2020
Multilevel model for airborne transmission of foot-and-mouth disease applied to Swedish livestock.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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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.
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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
12 citing papers in PubMed, 24 citations in OpenAlex.
- Current trends and challenges in the management of foot and mouth disease in Saudi Arabia: A review.Open veterinary journal · 2025Review
- Identifying effective surveillance measures for swine pathogens using contact networks and mathematical modeling.PloS one · 2025Article
- Phylodynamic analysis of foot-and-mouth disease virus evolution in Mar Chiquita, Argentina.Archives of virology · 2024Article
- Modeling foot-and-mouth disease dissemination in Rio Grande do Sul, Brazil and evaluating the effectiveness of control measures.Frontiers in veterinary science · 2024Article
- Microbiome Interconnectedness throughout Environments with Major Consequences for Healthy People and a Healthy Planet.Microbiology and molecular biology reviews : MMBR · 2023Review
- Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance.Transboundary and emerging diseases · 2022Article
- Highly Pathogenic Avian Influenza (HPAI H5Nx, Clade 2.3.4.4.b) in Poultry and Wild Birds in Sweden: Synopsis of the 2020-2021 Season.Veterinary sciences · 2022Article
- Microbial ecology of the atmosphere.FEMS microbiology reviews · 2022Review
- Airborne Transmission of Foot-and-Mouth Disease Virus: A Review of Past and Present Perspectives.Viruses · 2022Review
- Multiple species animal movements: network properties, disease dynamics and the impact of targeted control actions.Veterinary research · 2022Article
- Causes of delayed outbreak responses and their impacts on epidemic spread.Journal of the Royal Society, Interface · 2021Article
- Correction: Multilevel model for airborne transmission of foot-and-mouth disease applied to Swedish livestock.PloS one · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The foot-and-mouth disease is an ever-present hazard to the livestock industry due to the huge economic consequences following an outbreak that necessitates culling of possibly infected animals in vast numbers. The disease is highly contagious and previous epizootics have shown that it spreads by many routes. One such route is airborne transmission, which has been investigated in this study by means of a detailed multilevel model that includes all scales of an outbreak. Local spread within an infected farm is described by a stochastic compartment model while the spread between farms is quantified by atmospheric dispersion simulations using a network representation of the set of farms. The model was applied to the Swedish livestock industry and the risk for an epizootic outbreak in Sweden was estimated using the basic reproduction number of each individual livestock-holding farm as the endpoint metric. The study was based on comprehensive official data sets for both the current livestock holdings and regional meteorological conditions. Three species of farm animals are susceptible to the disease and are present in large numbers: cattle, pigs and sheep. These species are all included in this study using their individual responses and consequences to the disease. It was concluded that some parts of southern Sweden are indeed preconditioned to harbor an airborne epizootic, while the sparse farm population of the north renders such events unlikely to occur there. The distribution of the basic reproduction number spans over several orders of magnitudes with low risk of disease spread from the majority of the farms while some farms may act as very strong disease transmitters. The results may serve as basic data in the planning of the national preparedness for this type of events.
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Registered trials
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