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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: A genetic epidemiological model to describe resistance to an endemic bacterial disease in livestock: application to footrot in sheep | Genetics Selection Evolution BioMed Central Research A genetic epidemiological model to describe resistance to an endemic bacterial disease in livestock application to footrot in sheep Gert Jan Nieuwhof1 2 Joanne Conington3 and Stephen C Bishop 4 Open Access Address 1Meat and Livestock Commission Milton Keynes MK6 1AX UK 2ADHIS DPI Bundoora Victoria Australia 3Sustainable Livestock Systems Group SAC West Mains Road Edinburgh EH9 3JG UK and 4The Roslin Institute and Royal Dick School of Veterinary Studies University of Edinburgh Roslin Midlothian EH25 9PS UK Email Gert Jan Nieuwhof - gert.nieuwhof@dpi.vic.gov.au Joanne Conington - jo.conington@sac.ac.uk Stephen C Bishop - stephen.bishop@roslin.ed.ac.uk Corresponding author Published 26 January 2009 Genetics Selection Evolution 2009 41 19 doi l0.ll86 l297-9686-4l-l9 Received 17 December 2008 Accepted 26 January 2009 This article is available from http www.gsejournal.Org content 41 1 19 2009 Nieuwhof et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract__ Selection for resistance to an infectious disease not only improves resistance of animals but also has the potential to reduce the pathogen challenge to contemporaries especially when the population under selection is the main reservoir of pathogens. A model was developed to describe the epidemiological cycle that animals in affected populations typically go through viz. susceptible latently infected diseased and infectious recovered and reverting back to susceptible through loss of immunity and the rates at which animals move from one state to the next along with effects on the pathogen population. The equilibrium prevalence was estimated as a .
