2018
DOI: 10.1016/j.epidem.2018.04.001
|View full text |Cite
|
Sign up to set email alerts
|

Role of animal movement and indirect contact among farms in transmission of porcine epidemic diarrhea virus

Abstract: Epidemiological models of the spread of pathogens in livestock populations primarily focus on direct contact between farms based on animal movement data, and in some cases, local spatial spread based on proximity between premises. The roles of other types of indirect contact among farms is rarely accounted for. In addition, data on animal movements is seldom available in the United States. However, the spread of porcine epidemic diarrhea virus (PEDv) in U.S. swine represents one of the best documented emergenc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
69
0
1

Year Published

2018
2018
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 54 publications
(72 citation statements)
references
References 46 publications
2
69
0
1
Order By: Relevance
“…The effect of animal movements on risk reported here is consistent with general principles of disease spread in networks [42][43][44][45][46] ; livestock movements and network connectivity have been shown to be important for PEDV infection elsewhere 16,37 . In contrast to these studies, the uniqueness of our approach is that we moved beyond simply accounting for the focal farm's position in the movement network, and instead quantified the influence of movements into spatial neighbors.…”
Section: Discussionsupporting
confidence: 82%
See 1 more Smart Citation
“…The effect of animal movements on risk reported here is consistent with general principles of disease spread in networks [42][43][44][45][46] ; livestock movements and network connectivity have been shown to be important for PEDV infection elsewhere 16,37 . In contrast to these studies, the uniqueness of our approach is that we moved beyond simply accounting for the focal farm's position in the movement network, and instead quantified the influence of movements into spatial neighbors.…”
Section: Discussionsupporting
confidence: 82%
“…A number of studies have examined swine movement networks as a main transmission route for disease spread 16,[35][36][37][38][39] , network analysis and epidemiological data have recently been used to assess risk of local areas being exposed to pathogens as a consequence of animal introduction 40 . The approach presented here provides a realistic understanding of PEDV dynamics by capturing long distance spread via animal movements and linking it with epidemiological factors related to local area spread between neighboring farms.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, disease can be spread over different shipments and can, in this way, infect farms that do not directly trade with each other [ 17 , 18 , 19 , 20 ]. The same is true for the veterinarian or the feed supplier [ 7 , 11 , 21 ]. Over these vectors, more transmission routes can be analyzed instead of the pure direct animal movements between farms.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fact that the inclusion of different transmission routes offers the more detailed illustration of the real probability of the disease spread, more recent studies also included indirect transmission routes into the network analysis and evaluated their impact on potential disease spread [ 5 , 11 , 13 , 18 , 19 , 21 , 22 , 23 , 24 , 25 ]. However, most of these studies focused on the inclusion of indirect disease transmission via livestock trucks.…”
Section: Introductionmentioning
confidence: 99%
“…However, similar programs are yet to be mandated for the US. In the US, a comprehensive livestock tracking system has not been implemented because of a cultural preference for privacy and competition between producers 4 . The United State Department of Agriculture collects movement information when livestock shipments cross state boundaries.…”
Section: Introductionmentioning
confidence: 99%