Evidence map›Paper›PMID 31897293›Full record

ArticleInterface focus2020

On modelling environmentally transmitted pathogens.

Cristina Lanzas, Kale Davies, Samantha Erwin, Daniel Dawson

Abstract read
In one paragraph

Article in Interface focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Soil management practices shape the abundance, diversity, and spread of antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  5. Article
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  7. Identification ofVeterinary research forum : an international quarterly journal · 2023
    Article
  8. Article
  9. Review
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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

4 authors.

Cristina LanzasDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-4039-0336
Kale DaviesDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Samantha ErwinDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Daniel DawsonDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.

Funding

Exposure heterogeneity & environmental transmission dynamics of Escherichia coliR01GM117618 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LANZAS, CRISTINA · 2015 to 2018
$1.7M
Modeling and control of environmentally transmitted pathogensR01GM113239 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI LANZAS, CRISTINA · 2014 to 2017
$624k
NIGMS NIH HHS R01 GM113239NIGMS NIH HHS R01 GM117618
6 · The paper itself

Abstract

Many pathogens are able to replicate or survive in abiotic environments. Disease transmission models that include environmental reservoirs and environment-to-host transmission have used a variety of functional forms and modelling frameworks without a clear connection to pathogen ecology or space and time scales. We present a conceptual framework to organize microparasites based on the role that abiotic environments play in their lifecycle. Mean-field and individual-based models for environmental transmission are analysed and compared. We show considerable divergence between both modelling approaches when conditions do not facilitate well mixing and for pathogens with fast dynamics in the environment. We conclude with recommendations for modelling environmentally transmitted pathogens based on the pathogen lifecycle and time and spatial scales of the host-pathogen system under consideration.

Indexed as

environmental transmissionindividual-based modelsinfectious diseasesmean-field models

Identifiers

PMID31897293
PMCPMC6936006

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.