Evidence map›Paper›PMID 32155235›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) Framework for Describing and Reporting Multidrug-resistant Organism and Healthcare-Associated Infections Agent-based Modeling Methods.

Rachel B Slayton, Justin J O'Hagan, Sean Barnes, Sarah Rhea, Rainer Hilscher, Michael Rubin, Eric Lofgren, Brajendra Singh, Alberto Segre, Prabasaj Paul

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Synthesis estimators for transportability with positivity violations by a continuous covariate.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025
    Article
  4. Review
  5. Article
  6. Reimagining Infection Control in U.S. Nursing Homes in the Era of COVID-19.Journal of the American Medical Directors Association · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Modeling transmission of pathogens in healthcare settings.Current opinion in infectious diseases · 2021
    Review
  11. 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

10 authors.

Rachel B SlaytonDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Justin J O'HaganDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sean BarnesRobert H. Smith School of Business, University of Maryland, College Park, Maryland, USA.
Sarah RheaRTI International, Research Triangle Park, North Carolina, USA.
Rainer HilscherRTI International, Research Triangle Park, North Carolina, USA.
Michael RubinDivision of Epidemiology, University of Utah School Medicine, Salt Lake City, Utah, USA.
Eric LofgrenWashington State University, Pullman, Washington, USA.
Brajendra SinghDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Alberto SegreDepartment of Computer Science, University of Iowa, Iowa City, Iowa, USA.
Prabasaj PaulDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999NCEZID CDC HHS U01 CK000527NCEZID CDC HHS U01 CK000531NCEZID CDC HHS U01 CK000594
6 · The paper itself

Abstract

Mathematical modeling of healthcare-associated infections and multidrug-resistant organisms improves our understanding of pathogen transmission dynamics and provides a framework for evaluating prevention strategies. One way of improving the communication among modelers is by providing a standardized way of describing and reporting models, thereby instilling confidence in the reproducibility and generalizability of such models. We updated the Overview, Design concepts, and Details protocol developed by Grimm et al [11] for describing agent-based models (ABMs) to better align with elements commonly included in healthcare-related ABMs. The Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) framework includes the following 9 key elements: (1) Purpose and scope; (2) Entities, state variables, and scales; (3) Initialization; (4) Process overview and scheduling; (5) Input data; (6) Agent interactions and organism transmission; (7) Stochasticity; (8) Submodels; and (9) Model verification, calibration, and validation. Our objective is that this framework will improve the quality of evidence generated utilizing these models.

Indexed as

Communicable DiseasesDrug Resistance, Multiple, BacterialDelivery of Health CareHumansReproducibility of ResultsSystems Analysisantimicrobial resistancehealthcare-associated infectionsmathematical modeling

Identifiers

PMID32155235
PMCPMC7871347

What OpenQuestion holds

Textmetadata
LicenceTDM
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.