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Disentangling the influence of livestock vs. farm density on livestock disease epidemics

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Meadows, Amanda J., Mundt, Christopher C., Keeling, Matthew James and Tildesley, Michael J. (2018) Disentangling the influence of livestock vs. farm density on livestock disease epidemics. Ecosphere, 9 (7). e02294. doi:10.1002/ecs2.2294 ISSN 2150-8925.

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Official URL: http://dx.doi.org/10.1002/ecs2.2294

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Abstract

Susceptible host density is a key factor that influences the success of invading pathogens. However, for diseases affecting livestock, there are two aspects of host density: livestock and farm density, which are seldom considered independently. Traditional approaches of simulating disease outbreaks on real‐world farm data make dissecting the relative importance of farm and livestock density difficult owing to their inherent correlation in many farming regions. We took steps to disentangle these densities and study their relative influences on epidemic size by simulating foot‐and‐mouth disease outbreaks on factorial combinations of cattle and farm populations in artificial county areas, resulting in 50 unique cattle/farm density combinations. In these simulations, increasing cattle density always resulted in larger epidemics, regardless of farm density. Alternatively, increasing farm density only led to larger epidemics in scenarios of high cattle density. We compared these results with simulations performed on real‐world farm data from the United States, where we initiated outbreaks in U.S. counties that varied in county‐level cattle density and farm density. We found a similar, but weaker relationship between cattle density and epidemic size in the U.S. simulations. We tested the sensitivity of these outcomes to variation in pathogen dispersal and farm‐level susceptibility model parameters and found that although variation in these parameters quantitatively influenced the size of the epidemic, they did not qualitatively change the relative influence of cattle vs. farm density in factorial simulations. By reducing the correlation between farm and livestock density in factorial simulations, we were able to clearly demonstrate the increase in epidemic size that occurred as farm sizes grew larger (i.e., through increasing county‐level cattle populations), across levels of farm density. These results suggest livestock production trends in many industrialized countries that concentrate livestock on fewer, but larger farms have the potential to facilitate larger livestock epidemics.

Item Type: Journal Article
Subjects: S Agriculture > SF Animal culture
Divisions: Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Library of Congress Subject Headings (LCSH): Livestock -- Diseases -- Transmission, Farms -- United States, Cattle -- United States
Journal or Publication Title: Ecosphere
Publisher: Ecological Society of America
ISSN: 2150-8925
Official Date: July 2018
Dates:
DateEvent
July 2018Published
2 July 2018Available
9 March 2018Accepted
Volume: 9
Number: 7
Article Number: e02294
DOI: 10.1002/ecs2.2294
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 11 September 2018
Date of first compliant Open Access: 11 September 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
2015-67013-2381National Institute of Food and Agriculturehttp://dx.doi.org/10.13039/100005825
UNSPECIFIEDNational Science Foundationhttp://dx.doi.org/10.13039/100000001
UNSPECIFIEDNational Institutes of Healthhttp://dx.doi.org/10.13039/100000002
UNSPECIFIEDU.S. Department of Agriculturehttp://dx.doi.org/10.13039/100000199
UNSPECIFIED[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
UNSPECIFIEDUnited States-Israel Binational Science Foundationhttp://dx.doi.org/10.13039/501100001742

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