Evidence map›Paper›PMID 24177808›Full record

ArticleScientific reports2013

Temporal-spatial heterogeneity in animal-environment contact: implications for the exposure and transmission of pathogens.

Shi Chen, Michael W Sanderson, Brad J White, David E Amrine, Cristina Lanzas

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A One Health Approach to Child Stunting: Evidence and Research Agenda.The American journal of tropical medicine and hygiene · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Pathogen transfer through environment-host contact: an agent-based queueing theoretic framework.Mathematical medicine and biology : a journal of the IMA · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. 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.

Shi ChenDepartment of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, Knoxville, TN 37996 (USA).
Michael W Sanderson
Brad J White
David E Amrine
Cristina Lanzas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contact structure, a critical driver of infectious disease transmission, is not completely understood and characterized for environmentally transmitted pathogens. In this study, we assessed the effects of temporal and spatial heterogeneity in animal contact structures on the dynamics of environmentally transmitted pathogens. We used real-time animal position data to describe contact between animals and specific environmental areas used for feeding and watering calves. The generated contact structure varied across days and among animals. We integrated animal and environmental heterogeneity into an agent-based simulation model for Escherichia coli O157 environmental transmission in cattle to simulate four different scenarios with different environmental bacteria concentrations at different areas. The simulation results suggest heterogeneity in environmental contact structure among cattle influences pathogen prevalence and exposure associated with each environment. Our findings suggest that interventions that target environmental areas, even relatively small areas, with high bacterial concentration can result in effective mitigation of environmentally transmitted pathogens.

Indexed as

EnvironmentSentinel SurveillanceSpatio-Temporal AnalysisAnimalsCattleCommunicable DiseasesComputer SimulationEnvironmental ExposureHumansModels, TheoreticalPrevalence

Identifiers

PMID24177808
PMCPMC3814814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.