Data

Data from: Predicted Spatial Spread of Canine Rabies in Australia

RMIT University, Australia
Dr Stephen Davis (Associated with, Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://figshare.com/articles/Predicted_Spatial_Spread_of_Canine_Rabies_in_Australia/4581274&rft.title=Data from: Predicted Spatial Spread of Canine Rabies in Australia&rft.identifier=6f31d944104fe25c6911644ba169df8e&rft.publisher=RMIT University, Australia&rft.description=Attached file provides supplementary data for linked article. Modelling disease dynamics is most useful when data are limited. We present a spatial transmission model for the spread of canine rabies in the currently rabies-free wild dog population of Australia. The introduction of a sub-clinically infected dog from Indonesia is a distinct possibility, as is the spillover infection of wild dogs. Ranges for parameters were estimated from the literature and expert opinion, or set to span an order of magnitude. Rabies was judged to have spread spatially if a new infectious case appeared 120 km from the index case. We found 21% of initial value settings resulted in canine rabies spreading 120km, and on doing so at a median speed of 67 km/year. Parameters governing dog movements and behaviour, around which there is a paucity of knowledge, explained most of the variance in model outcomes. Dog density, especially when interactions with other parameters were included, explained some of the variance in whether rabies spread 120km, but dog demography (mean lifespan and mean replacement period) had minimal impact. These results provide a clear research direction if Australia is to improve its preparedness for rabies.&rft.creator=Dr Stephen Davis&rft.date=2018&rft.relation=https://dx.doi.org/10.1371/journal.pntd.0005312&rft_rights=© 2017 Johnstone-Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.&rft_rights=CC BY-NC: Attribution-Noncommercial 3.0 AU http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=Biological Mathematics&rft_subject=Dogs&rft_subject=Rabies&rft_subject=Percolation&rft_subject=Random number generators&rft_subject=Pets and companion animals&rft_subject=Australia&rft_subject=Rabies virus&rft_subject=Infectious disease epidemiology&rft_subject=Epidemiology&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=PUBLIC HEALTH AND HEALTH SERVICES&rft.type=dataset&rft.language=English Access the data
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CC BY-NC: Attribution-Noncommercial 3.0 AU
http://creativecommons.org/licenses/by-nc/3.0/au

© 2017 Johnstone-Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Attached file provides supplementary data for linked article. Modelling disease dynamics is most useful when data are limited. We present a spatial transmission model for the spread of canine rabies in the currently rabies-free wild dog population of Australia. The introduction of a sub-clinically infected dog from Indonesia is a distinct possibility, as is the spillover infection of wild dogs. Ranges for parameters were estimated from the literature and expert opinion, or set to span an order of magnitude. Rabies was judged to have spread spatially if a new infectious case appeared 120 km from the index case. We found 21% of initial value settings resulted in canine rabies spreading 120km, and on doing so at a median speed of 67 km/year. Parameters governing dog movements and behaviour, around which there is a paucity of knowledge, explained most of the variance in model outcomes. Dog density, especially when interactions with other parameters were included, explained some of the variance in whether rabies spread 120km, but dog demography (mean lifespan and mean replacement period) had minimal impact. These results provide a clear research direction if Australia is to improve its preparedness for rabies.

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Subjects
Australia | Biological Mathematics | Dogs | Epidemiology | Infectious disease epidemiology | Medical and Health Sciences | Public Health and Health Services | Percolation | Pets and companion animals | Rabies | Rabies virus | Random number generators |

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  • Local : 6f31d944104fe25c6911644ba169df8e
ACN 633 798 857