Hiroki Abe

发表

Modeling Invasion of Campylobacter jejuni into Human Small Intestinal Epithelial-Like Cells by Bayesian Inference

S. Koseki, K. Koyama, Hiroki Abe, 2020, Applied and Environmental Microbiology.

Describing the Individual Spore Variability and the Parameter Uncertainty in Bacterial Survival Kinetics Model by Using Second-Order Monte Carlo Simulation

S. Koseki, K. Koyama, Hiroki Abe, 2020, Frontiers in Microbiology.

Stochastic evaluation of Salmonella enterica lethality during thermal inactivation.

S. Kawamura, S. Koseki, K. Koyama, 2018, International journal of food microbiology.

A New Dose-Response Model for Estimating the Infection Probability of Campylobacter jejuni Based on the Key Events Dose-Response Framework

S. Koseki, K. Koyama, Hiroki Abe, 2021, Applied and environmental microbiology.

Competitive growth kinetics of Campylobacter jejuni, Escherichia coli O157:H7 and Listeria monocytogenes with enteric microflora in a small‐intestine model

S. Koseki, K. Koyama, Hiroki Abe, 2021, Journal of applied microbiology.

Implementing a New Dose-response Model for Estimating Infection Probability of Campylobacter Jejuni based on the Key Events Dose-response Framework

S. Koseki, K. Koyama, Hiroki Abe, 2021 .

Experimentally observed Campylobacter jejuni survival kinetics in chicken meat products during model gastric digestion tended to be lower than model predictions.

S. Koseki, K. Koyama, Hiroki Abe, 2021, Food microbiology.

Evaluation of Strain Variability in Inactivation of Campylobacter jejuni in Simulated Gastric Fluid by Using Hierarchical Bayesian Modeling

S. Koseki, J. Ranta, K. Koyama, 2021, Applied and environmental microbiology.

Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference

S. Koseki, Hiroki Abe, Kento Koayama, 2022, Letters in applied microbiology.

Stochastic modeling of variability in survival behavior of Bacillus simplex spore population during isothermal inactivation at the single cell level using a Monte Carlo simulation.

S. Kawamura, S. Koseki, K. Koyama, 2019, Food microbiology.

Analysis of a quantitative risk assessment of listeriosis from pasteurized milk: The combinations of which factors cause listeriosis in this low-risk food?

S. Koseki, H. D. den Besten, M. Zwietering, 2023, Food Control.

Bayesian statistical modeling to describe uncertainty of thermal inactivation behaviour of bacterial spores

Hiroki Abe, Shigenobu Koseki, Shinya Doto, 2021 .

Recent advances in predictive microbiology: theory and application of conversion from population dynamics to individual cell heterogeneity during inactivation process

S. Koseki, K. Koyama, Hiroki Abe, 2021 .

Social and physical effects of a pedometer and communication application among older men: a mixed-methods, pre/post pilot study

Tamotsu Kamishima, Hiroki Abe, M. Hirano, 2021, Information, Communication & Society.

Social and physical effects of an original pedometer/communication app on older males: a controlled before-and-after trial using a mix of quantitative and qualitative methods (Preprint)

Tamotsu Kamishima, Hiroki Abe, M. Hirano, 2020 .

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

S. Koseki, K. Koyama, Hiroki Abe, 2021, Frontiers in Microbiology.

-1-Implementing a new dose-response model for estimating infection probability of 1 Campylobacter based on the key events dose-response framework

S. Koseki, K. Koyama, Hiroki Abe, 2021 .

Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number.

S. Kawamura, K. Koyama, Hiroki Abe, 2019, Journal of theoretical biology.

Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells.

S. Kawamura, K. Koyama, Hiroki Abe, 2019, International journal of food microbiology.

Transforming kinetic model into a stochastic inactivation model: Statistical evaluation of stochastic inactivation of individual cells in a bacterial population.

K. Koyama, Hiroki Abe, Satoko Hiura, 2020, Food microbiology.