Epidemic predictions in an imperfect world: modelling disease spread with partial data.
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ABSTRACT:
SUBMITTER: Dawson PM
PROVIDER: S-EPMC4455802 | biostudies-other | 2015 Jun
REPOSITORIES: biostudies-other
Publications
Epidemic predictions in an imperfect world: modelling disease spread with partial data.
Dawson Peter M PM Werkman Marleen M Brooks-Pollock Ellen E Tildesley Michael J MJ
Proceedings. Biological sciences 20150601 1808
'Big-data' epidemic models are being increasingly used to influence government policy to help with control and eradication of infectious diseases. In the case of livestock, detailed movement records have been used to parametrize realistic transmission models. While livestock movement data are readily available in the UK and other countries in the EU, in many countries around the world, such detailed data are not available. By using a comprehensive database of the UK cattle trade network, we impl ...[more]
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