Evidence map›Paper›PMID 30737423›Full record

ArticleScientific reports2019

Metapopulation Model from Pathogen's Perspective: A Versatile Framework to Quantify Pathogen Transfer and Circulation between Environment and Hosts.

Shi Chen, Cristina Lanzas, Chihoon Lee, Gabriel L Zenarosa, Ahmed A Arif, Michael Dulin

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Metapopulation model of phage therapy of an acutebioRxiv : the preprint server for biology · 2024
    Article
  3. 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

6 authors.

Shi ChenDepartment of Public Health Sciences, University of North Carolina Charlotte, Charlotte, North Carolina, 28223, USA. schen56@uncc.edu.
Cristina LanzasDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, North Carolina, 27607, USA.
Chihoon LeeSchool of Business, Stevens Institute of Technology, Hoboken, New Jersey, 07030, USA.
Gabriel L ZenarosaDepartment of Systems Engineering and Engineering Management, University of North Carolina Charlotte, Charlotte, North Carolina, 28223, USA.ORCID 0000-0003-1096-3559
Ahmed A ArifDepartment of Public Health Sciences, University of North Carolina Charlotte, Charlotte, North Carolina, 28223, USA.ORCID 0000-0002-0237-9937
Michael DulinDepartment of Public Health Sciences, University of North Carolina Charlotte, Charlotte, North Carolina, 28223, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metapopulation models have been primarily explored in infectious disease epidemiology to study host subpopulation movements and between-host contact structures. They also have the potential to investigate environmental pathogen transferring. In this study, we demonstrate that metapopulation models serve as an ideal modeling framework to characterize and quantify pathogen transfer between environment and hosts. It therefore unifies host, pathogen, and environment, collectively known as the epidemiological triad, a fundamental concept in epidemiology. We develop a customizable and generalized pathogen-transferring model where pathogens dwell in and transferring (via contact) between environment and hosts. We analyze three specific case studies: pure pathogen transferring without pathogen demography, source-sink dynamics, and pathogen control via external disinfection. We demonstrate how pathogens circulate in the system between environment and hosts, as well as evaluate different controlling efforts for healthcare-associated infections (HAIs). For pure pathogen transferring, system equilibria can be derived analytically to explicitly quantify long-term pathogen distribution in the system. For source-sink dynamics and pathogen control via disinfection, we demonstrate that complete eradication of pathogens can be achieved, but the rates of converging to system equilibria differ based on specific model parameterization. Direct host-host pathogen transferring and within-host dynamics can be future directions of this modeling framework by adding specific modules.

Indexed as

AlgorithmsCross InfectionDisinfectionHost-Pathogen InteractionsHumansModels, BiologicalPopulation Dynamics

Identifiers

PMID30737423
PMCPMC6368549

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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.