ReviewJournal of mathematical biology2018
Continuum and discrete approach in modeling biofilm development and structure: a review.
Review in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed.
- Modeling Multiscale Architecture of Biofilm Extracellular Matrix and Its Role in Oxygen Transport.Biotechnology and bioengineering · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- A Hamilton principle-based model for diffusion-driven biofilm growth.Biomechanics and modeling in mechanobiology · 2024Article
- Mass transfer in heterogeneous biofilms: Key issues in biofilm reactors and AI-driven performance prediction.Environmental science and ecotechnology · 2024Review
- The biophysical basis of bacterial colony growth.Nature physics · 2024Article
- A Mathematical Model of Diel Activity and Long Time Survival in Phototrophic Mixed-Species Subaerial Biofilms.Bulletin of mathematical biology · 2024Article
- Review
- Modelling Plasmid-Mediated Horizontal Gene Transfer in Biofilms.Bulletin of mathematical biology · 2024Article
- Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions.Microbial ecology · 2024Review
- Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0.PLoS computational biology · 2024Article
- Pharmacodynamic Model of the Dynamic Response ofBiomedicines · 2023Article
- Vertical growth dynamics of biofilms.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Structure-Thermodynamic Relationship of a Polysaccharide Gel (Alginate) as a Function of Water Content and Counterion Type (Na vs Ca).The journal of physical chemistry. B · 2023Article
- Morphological instability and roughening of growing 3D bacterial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Exploring the Function of Quorum Sensing Regulated Biofilms in Biological Wastewater Treatment: A Review.International journal of molecular sciences · 2022Review
- Exploring the role of microbial biofilm for industrial effluents treatment.Bioengineered · 2022Review
- Multiscale Modelling of De Novo Anaerobic Granulation.Bulletin of mathematical biology · 2021Article
- Development and Quantitation ofBio-protocol · 2021Article
- Biofilm viscoelasticity and nutrient source location control biofilm growth rate, migration rate, and morphology in shear flow.Scientific reports · 2021Article
- Four species of bacteria deterministically assemble to form a stable biofilm in a millifluidic channel.NPJ biofilms and microbiomes · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The scientific community has recognized that almost 99% of the microbial life on earth is represented by biofilms. Considering the impacts of their sessile lifestyle on both natural and human activities, extensive experimental activity has been carried out to understand how biofilms grow and interact with the environment. Many mathematical models have also been developed to simulate and elucidate the main processes characterizing the biofilm growth. Two main mathematical approaches for biomass representation can be distinguished: continuum and discrete. This review is aimed at exploring the main characteristics of each approach. Continuum models can simulate the biofilm processes in a quantitative and deterministic way. However, they require a multidimensional formulation to take into account the biofilm spatial heterogeneity, which makes the models quite complicated, requiring significant computational effort. Discrete models are more recent and can represent the typical multidimensional structural heterogeneity of biofilm reflecting the experimental expectations, but they generate computational results including elements of randomness and introduce stochastic effects into the solutions.
Indexed as
Identifiers
28741178What 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.