Evidence map›Paper›PMID 41350385›Full record

ArticleScientific reports2025

The AMR Knowledge Space Game: participatory modeling to address the complexity of antimicrobial resistance.

Francesca de Rosa, Alayna Wilson, Vittoria Seremedi Migliorini, Rick A Bright

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Francesca de RosaCenter for Advanced Preparedness and Threat Response Simulation, CAPTRS Institute, Austin, TX, USA. francesca.derosa@captrs.org.
Alayna WilsonCenter for Advanced Preparedness and Threat Response Simulation, CAPTRS Institute, Austin, TX, USA.
Vittoria Seremedi MiglioriniFDR Strategies, La Spezia, Italy.
Rick A BrightBright Global Health, Waterford, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is an urgent and complex global health threat, widely recognized as a silent pandemic that erodes the effectiveness of existing countermeasures and exacerbates vulnerabilities across systems. This study presents the development and piloting of the AMR Knowledge Space Game, a novel serious game designed to foster transdisciplinary collaboration, support knowledge collection and structuring, and inform policy development. Serious games are primarily designed for purposes beyond mere entertainment, such as learning or operational analysis. This game engages diverse audiences-including experts and non-experts-through a collaborative experience that incentivizes knowledge sharing and consensus-building. Players construct and refine shared mental models of challenges associated with AMR, which are then modeled semi-quantitatively (e.g., using fuzzy cognitive mapping). Pilot sessions conducted in multiple countries showed the game's potential to surface new insights, integrate siloed knowledge, and model complex relationships within the AMR landscape. By enabling scenario analysis and capturing both individual and group-level reasoning, the game serves as a scalable platform for participatory modeling. These findings suggest that serious games offer a powerful and underutilized approach to address complexity, engage stakeholders, and strengthen global preparedness against AMR.

Indexed as

Drug Resistance, BacterialDrug Resistance, MicrobialVideo GamesAnti-Bacterial AgentsHumansAnti-Bacterial AgentsAntimicrobial resistanceCritical thinkingSerious game

Identifiers

PMID41350385
PMCPMC12783810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.