Evidence map›Paper›PMID 30304002›Full record

ArticlePloS one2018

Investigating behavioral drivers of seasonal Shiga-Toxigenic Escherichia Coli (STEC) patterns in grazing cattle using an agent-based model.

Daniel E Dawson, Jocelyn H Keung, Monica G Napoles, Michael R Vella, Shi Chen, Michael W Sanderson, Cristina Lanzas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Multistate nontyphoidalEpidemiology and infection · 2024
    Article
  3. Article
  4. Article
  5. Risk factors of Shiga toxin-producingEpidemiology and infection · 2022
    Article
  6. Article
  7. Article
  8. 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

7 authors at 4 institutions in 1 country.

Daniel E DawsonDepartment of Pathobiology and Population Health, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0001-9622-4495
Jocelyn H KeungNational Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee, United States of America.
Monica G NapolesNational Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee, United States of America.
Michael R VellaNational Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee, United States of America.
Shi ChenDepartment of Pathobiology and Population Health, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America.
Michael W SandersonCenter for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Cristina LanzasDepartment of Pathobiology and Population Health, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America.
National Institute for Mathematical and Biological Synthesis · USNorth Carolina State University · USKansas State University · USUniversity of North Carolina at Charlotte · US

Funding

Exposure heterogeneity & environmental transmission dynamics of Escherichia coliR01GM117618 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LANZAS, CRISTINA · 2015 to 2018
$1.7M
NIGMS NIH HHS R01 GM117618
6 · The paper itself

Abstract

The causes of seasonal variability in pathogen transmission are not well understood, and have not been comprehensively investigated. In an example for enteric pathogens, incidence of Escherichia coli O157 (STEC) colonization in cattle is consistently higher during warmer months compared to cooler months in various cattle production systems. However, actual mechanisms for this seasonality remain elusive. In addition, the influence of host (cattle) behavior on this pattern has not been thoroughly considered. To that end, we constructed a spatially explicit agent-based model that accounted for the effect of temperature fluctuations on cattle behavior (direct contact among cattle and indirect between cattle and environment), as well as its effect on pathogen survival in the environment. We then simulated the model in a factorial approach to evaluate the hypothesis that temperature fluctuations can lead to seasonal STEC transmission dynamics by influencing cattle aggregation, grazing, and drinking behaviors. Simulation results showed that higher temperatures increased the frequency at which cattle aggregated under shade in pasture, resulting in increased direct contact and transmission of STEC between individual cattle, and hence higher incidence over model simulations in the warm season. In contrast, increased drinking behavior during warm season was not an important transmission pathway. Although sensitivity analyses suggested that the relative importance of direct vs. indirect (environmental) pathways depend to upon model parameterization, model simulations indicated that factors influencing cattle aggregation, such as temperature, were likely strong drivers of transmission dynamics of enteric pathogens.

Indexed as

AnimalsCattleCattle DiseasesDrinking BehaviorEscherichia coli InfectionsEscherichia coli O157FecesHerbivorySeasonsWeather

Identifiers

PMID30304002
PMCPMC6179278
OpenAlexW2897009725

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.