Paper List
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GOPHER: Optimization-based Phenotype Randomization for Genome-Wide Association Studies with Differential Privacy
This paper addresses the core challenge of balancing rigorous privacy protection with data utility when releasing full GWAS summary statistics, overco...
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Real-time Cricket Sorting By Sex A low-cost embedded solution using YOLOv8 and Raspberry Pi
This paper addresses the critical bottleneck in industrial insect farming: the lack of automated, real-time sex sorting systems for Acheta domesticus ...
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Training Dynamics of Learning 3D-Rotational Equivariance
This work addresses the core dilemma of whether to use computationally expensive equivariant architectures or faster symmetry-agnostic models with dat...
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Fast and Accurate Node-Age Estimation Under Fossil Calibration Uncertainty Using the Adjusted Pairwise Likelihood
This paper addresses the dual challenge of computational inefficiency and sensitivity to fossil calibration errors in Bayesian divergence time estimat...
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Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
This paper addresses the core challenge of accurately predicting protein fitness with only a handful of experimental observations, where data collecti...
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scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
This paper addresses the critical gap of fragmented and non-standardized benchmarking in single-cell RNA-seq clustering, which hinders objective compa...
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Simulation and inference methods for non-Markovian stochastic biochemical reaction networks
This paper addresses the computational bottleneck of simulating and performing Bayesian inference for non-Markovian biochemical systems with history-d...
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Assessment of Simulation-based Inference Methods for Stochastic Compartmental Models
This paper addresses the core challenge of performing accurate Bayesian parameter inference for stochastic epidemic models when the likelihood functio...
Generating a Contact Matrix for Aged Care Settings in Australia: an agent-based model study
University of New South Wales
30秒速读
IN SHORT: This study addresses the critical gap in understanding heterogeneous contact patterns within aged care facilities, where existing population-level contact matrices fail to capture the nuanced interactions that drive infection transmission in these high-risk environments.
核心创新
- Methodology Developed a transferable agent-based modeling framework specifically for aged care settings, parameterized with empirical survey data from 21 aged care workers to capture realistic staff-resident interaction patterns.
- Methodology Integrated proximity-based contact definitions (1.5m and 3m thresholds with 3-second duration) with temporal analysis to identify high-risk contact clustering during structured daily routines like communal activities and care tasks.
- Biology Demonstrated that medium care residents experience the highest infection risk despite not having the highest contact frequency, revealing non-linear relationships between contact patterns and transmission outcomes.
主要结论
- Low and medium care residents had the highest contact frequencies (particularly with morning/afternoon shift staff), while high care residents and night staff had substantially fewer contacts, with Poisson regression confirming significant variation by care level and shift (p<0.001).
- Vaccination scenarios reduced predicted transmission by up to 68%, with maximum impact achieved when both staff and residents were vaccinated, demonstrating the multiplicative protective effect of comprehensive vaccination coverage.
- Temporal analysis revealed clustering of high-risk contacts during structured daily routines, with infection risk highest during high-contact shifts and among medium care residents, highlighting the importance of timing in intervention strategies.
摘要: This study presents an agent-based model (ABM) developed to simulate staff and resident interactions within a synthetic aged care facility, capturing movement, task execution, and proximity-based contact events across three staff shifts and varying levels of resident care. Contacts were defined by spatial thresholds (1.5 m and 3 m) and cumulative duration, enabling the generation of detailed contact matrices. Simulation results showed that low and medium care residents experienced the highest frequency of interactions, particularly with staff on morning and afternoon shifts, while high care residents and night staff had substantially fewer contacts. Contact rates varied significantly by care level and shift, confirmed through Poisson-based regression modelling. Temporal analyses revealed clustering of high-risk contacts during structured daily routines, especially communal and care activities. An integrated airborne transmission module, seeded with a single infectious staff member, demonstrated that infection risk was highest during high-contact shifts and among medium care residents. Vaccination scenarios reduced predicted transmission by up to 68%, with the greatest impact observed when both staff and residents were vaccinated. These findings highlight the importance of accounting for contact heterogeneity in aged care and demonstrate the utility of ABMs for evaluating targeted infection control strategies in high-risk, enclosed environments.