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A geospatial model of entry pathways of lumpy skin disease virus introduction into Australia
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  • Published: 12 February 2026

A geospatial model of entry pathways of lumpy skin disease virus introduction into Australia

  • Kei Owada1,
  • Adam C. Castonguay2,
  • Robyn N. Hall3,
  • Rebecca K. Ambrose4,
  • Ben J. Hayes5,
  • Timothy J. Mahony5 &
  • …
  • Ricardo J. Soares Magalhães1,6 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Agroecology
  • Entomology
  • Risk factors
  • Viral infection

Abstract

Lumpy skin disease (LSD) is a disease of bovines resulting from the mechanical transmission of lumpy skin disease virus (LSDV) by arthropod vectors. While LSD has never been reported in Australia, the disease has spread through Asia and recently expanded to neighbouring countries such as Indonesia. The detection of LSD in Australian cattle would likely lead to trade restrictions, resulting in Australian cattle industries experiencing severe economic losses. There is a need for geospatial decision support tools to support border and post border surveillance efforts through the identification of areas which would be more vulnerable to a LSDV introduction. Previous risk assessments have calculated that overall risk of introduction into Australia is negligible to very low after evaluating four entry pathways, including windborne dispersal of arthropod vectors, commercial vessels carrying hitchhiker arthropod vectors (excluding live export vessels), returning live export vessels carrying hitchhiker arthropod vectors, and movements in Torres Strait Treaty area leading to the transport of hitchhiker arthropod vectors. However, the studies also reported very high uncertainty given a lack of robust empirical data for many of the model parameters and only described risk in terms of each pathway as a whole rather than describing spatial variation in risk. This study aimed to develop a novel integrated geospatial model for simulating the likelihood of LSDV-carrying vectors entering Australia via two different entry pathways: transport of vectors through shipping channels and vectors being carried long distances by strong wind currents. This model was used to explore the spatial variation in suitability for LSDV-carrying vectors entering Australia for each pathway independently and combined to identify geographical areas with the highest suitability. Furthermore, the study incorporated species distribution modelling and current bovine LSD case data in neighbouring countries to better model the current suitability of LSD in livestock, which were not included in the previous risk assessments. Pathway one showed the ports at Port Hedland and Dampier as having the highest suitability for LSDV-carrying vectors entering Australia compared to the rest of the country. Pathway two showed highest comparative suitability in Far North Queensland, with suitability extending as far as 25 degrees south. Furthermore, likelihood of vectors being carried by wind currents into Australia was highest in the summer months. A model combining both pathways highlighted areas along the northern tip of Far North Queensland and around Port Hedland in Western Australia as having the highest suitability for LSDV-carrying vectors entering Australia compared to the rest of the country. These findings may assist future modelling of exposure and spread of LSDV in the Australian bovine population following a successful incursion event, which may help guide local authorities with planning and prioritisation of integrated surveillance activities.

Data availability

The data presented in this study are based on publicly available datasets. All sources are specified in the Methods and Supplementary methods sections.

Code availability

The code used for the modelling conducted in this study are contained in the Supplementary methods section.

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Acknowledgements

The Australian Government Department of Agriculture, Fisheries and Forestry (DAFF) is the owner of, and contributed, materials used as a reference in the development of wind trajectory modelling code. The authors would like to thank Dr. Michelle Wille (The University of Melbourne) for her advice on Australian migratory birds.Australian climate data and tropical cyclone data used in the study were retrieved from the Australian Bureau of Meteorology. The authors retrieved LSD case data from the World Organisation for Animal Health (WOAH) World Animal Health Information System (WAHIS) online database. WOAH bears no responsibility for the integrity or accuracy of the data contained herein, in particular due, but not limited to, any deletion, manipulation, or reformatting of data that may have occurred beyond its control.

Funding

This project was jointly supported by the Queensland Government Department of Primary Industries (DPI) and the University of Queensland.

Author information

Authors and Affiliations

  1. Queensland Alliance for One Health Sciences, School of Veterinary Science, The University of Queensland, Gatton, 4343, Australia

    Kei Owada & Ricardo J. Soares Magalhães

  2. Commonwealth Scientific and Industrial Research Organisation, St Lucia, 4067, Australia

    Adam C. Castonguay

  3. Ausvet Pty Ltd, Fremantle, 6160, Australia

    Robyn N. Hall

  4. Biosecurity Queensland, Department of Primary Industries, Queensland Government, Brisbane, 4000, Australia

    Rebecca K. Ambrose

  5. Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, 4072, Australia

    Ben J. Hayes & Timothy J. Mahony

  6. Children’s Health and Environment Program, Children’s Health Research Centre, The University of Queensland, South Brisbane, 4101, Australia

    Ricardo J. Soares Magalhães

Authors
  1. Kei Owada
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Contributions

Conceptualisation, K.O., A.C.-C., R.N.H., R.K.A., B.J.H., T.J.M., and R.J.S.M.; methodology, K.O., A.C.-C., R.N.H., R.K.A., B.J.H., T.J.M., and R.J.S.M.; validation, K.O., A.C.-C., R.N.H., R.K.A., B.J.H., T.J.M., and R.J.S.M.; formal analysis, K.O., R.N.H., and R.J.S.M.; investigation, K.O., A.C.-C., R.N.H., R.K.A., B.J.H., T.J.M., and R.J.S.M.; data curation, K.O., A.C.-C., R.N.H., and R.J.S.M.; writing—original draft preparation, K.O.; writing—review and editing, K.O., A.C.-C., R.N.H., R.K.A., B.J.H., T.J.M., and R.J.S.M.; visualisation, K.O. and R.N.H.; supervision, B.J.H., T.J.M., and R.J.S.M.; project administration, B.J.H. and R.J.S.M. All authors read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Kei Owada.

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Competing interests

Yes, all authors have competing interests. Kei Owada, Ben J. Hayes, Timothy J. Mahony, and Ricardo J. Soares Magalhães are employees of the University of Queensland. Adam C. Castonguay is an employee of the Commonwealth Scientific and Industrial Research Organisation. Robyn. N. Hall is an employee of Ausvet Pty. Ltd. Rebecca K. Ambrose is an employee of the Queensland Government Department of Primary Industries.

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Owada, K., C. Castonguay, A., Hall, R.N. et al. A geospatial model of entry pathways of lumpy skin disease virus introduction into Australia. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39806-8

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  • Received: 01 November 2024

  • Accepted: 09 February 2026

  • Published: 12 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-39806-8

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Keywords

  • Lumpy skin disease
  • Geospatial modelling
  • Wind dispersal
  • Insect vectors
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