Evidence map›Paper›PMID 29673815›Full record

ArticleEpidemics2018

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

Kimberly VanderWaal, Andres Perez, Montse Torremorrell, Robert M Morrison, Meggan Craft

Abstract read
In one paragraph

Article in Epidemics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
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  11. Transmission of antimicrobial resistance (AMR) during animal transport.EFSA journal. European Food Safety Authority · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Risk and Mitigation of African Swine Fever Virus in Feed.Animals : an open access journal from MDPI · 2021
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kimberly VanderWaalDepartment of Veterinary Population Medicine, University of Minnesota, Twin Cities, 1365 Gortner Avenue, St. Paul, MN 55113, USA. Electronic address: kvw@umn.edu.
Andres PerezDepartment of Veterinary Population Medicine, University of Minnesota, Twin Cities, 1365 Gortner Avenue, St. Paul, MN 55113, USA. Electronic address: aperez@umn.edu.
Montse TorremorrellDepartment of Veterinary Population Medicine, University of Minnesota, Twin Cities, 1365 Gortner Avenue, St. Paul, MN 55113, USA. Electronic address: torr0033@umn.edu.
Robert M MorrisonDepartment of Veterinary Population Medicine, University of Minnesota, Twin Cities, 1365 Gortner Avenue, St. Paul, MN 55113, USA.
Meggan CraftDepartment of Veterinary Population Medicine, University of Minnesota, Twin Cities, 1365 Gortner Avenue, St. Paul, MN 55113, USA. Electronic address: craft@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 emergences of a highly infectious pathogen in the U.S. livestock industry, providing an opportunity to parameterize models of pathogen spread via direct and indirect transmission mechanisms in swine. Using observed data on pig movements during the initial phase of the PEDv epidemic, we developed a network-based and spatially explicit epidemiological model that simulates the spread of PEDv via both indirect and direct movement-related contact in order to answer unresolved questions concerning factors facilitating between-farm transmission. By modifying the likelihood of each transmission mechanism and fitting this model to observed epidemiological dynamics, our results suggest that between-farm transmission was primarily driven by direct mechanisms related to animal movement and indirect mechanisms related to local spatial spread based on geographic proximity. However, other forms of indirect transmission among farms, including contact via contaminated vehicles and feed, were responsible for high consequence transmission events resulting in the introduction of the virus into new geographic areas. This research is among the first reports of farm-level animal movements in the U.S. swine industry and, to our knowledge, represents the first epidemiological model of commercial U.S. swine using actual data on farm-level animal movement.

Indexed as

Behavior, AnimalLocomotionPorcine epidemic diarrhea virusAnimalsCoronavirus InfectionsEpidemicsFarmsLivestockSwineSwine DiseasesUnited StatesAnimal movementComputational modelingEpidemiologyLivestockNetwork analysisSwine pathogens

Identifiers

PMID29673815
PMCPMC7104984

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.