ArticleFrontiers in physiology2020
Mathematical Modeling for Hepatitis B Virus: Would Spatial Effects Play a Role and How to Model It?
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Analysis and simulation of a stochastic reaction-diffusion model for HBV infection under antiviral treatment.BMC infectious diseases · 2026Article
- Prediction of cccDNA dynamics in hepatitis B patients by a combination of serum surrogate markers.PLoS computational biology · 2025Article
- Impacts of optimal control strategies on the HBV and COVID-19 co-epidemic spreading dynamics.Scientific reports · 2024Article
- A computational spatial whole-Cell model for hepatitis B viral infection and drug interactions.Scientific reports · 2023Article
- Illuminating HBV with multi-scale modeling.Frontiers in systems biology · 2023Article
- Analysis of HBV and COVID-19 Coinfection Model with Intervention Strategies.Computational and mathematical methods in medicine · 2023Article
- Global sensitivity analysis of a single-cell HBV model for viral dynamics in the liver.Infectious Disease Modelling · 2021Article
- Efficient Methods for Parameter Estimation of Ordinary and Partial Differential Equation Models of Viral Hepatitis Kinetics.Mathematics (Basel, Switzerland) · 2020Article
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
PubMed holds no abstract for this paper.
Indexed as
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.