ArticlePLOS global public health2026
Simulating targeted vaccination strategies with network-based and agent-based models: A scoping review.
Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the structural characteristics of contact networks in network-based and agent-based models is essential for evaluating and optimizing targeted vaccination strategies in infectious disease control. In this study, a comprehensive scoping review was conducted to explore simulation-based research that examines the interaction between network structures and targeted vaccination interventions during epidemics. The review highlights the importance of understanding how different network structures can influence the effectiveness of vaccination strategies in controlling disease outbreaks. A total of 39 studies published between 2018 and 2025 from different databases such as Scopus and Web of Science were systematically analyzed. The review illustrates the current gap in modeling practices and identifies the need for more realistic network representation and evaluation of a hybrid intervention as a future research priority. The time window (2018-2025) was chosen to capture the most recent generation of simulation-based studies that have been accelerated during and after the COVID-19 pandemic. This review reflects the emerging nature of the intersection between network science and epidemic modeling. Providing well-structured insights to support the formulation of effective vaccination strategies.
Identifiers
What OpenQuestion holds
Registered trials
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.