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Epidemiology

Epidemiology is a scientific discipline that provides reliable knowledge for clinical medicine focusing on prevention, diagnosis and treatment of diseases. Research in Epidemiology aims at characterizing risk factors for the outbreak of diseases and at evaluating the efficiency of certain treatment strategies, e.g., to compare a new treatment with an established gold standard. This research is strongly hypothesis-driven and statistical analysis is the major tool for epidemiologists so far. Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.

Source: Visual Analytics of Image-Centric Cohort Studies in Epidemiology

Papers

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Showing 51–75 of 425 papers

TitleStatusHype
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal ModelCode0
bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data—0
Compositional simulation-based inference for time seriesCode0
Stability in Reaction Network Models via an Extension of the Next Generation Matrix MethodCode0
Causal reasoning in difference graphs—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
Multimodal Structure Preservation Learning—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextCode0
Cost-aware simulation-based inferenceCode0
BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingCode1
Epidemiology-Aware Neural ODE with Continuous Disease Transmission GraphCode2
Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics—0
Non-explosivity of endotactic stochastic reaction systems—0
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured DataCode0
A framework for the modelling and the analysis of epidemiological spread in commuting populations—0
Spatio-Temporal Variability of the Pepper Mild Mottle Virus Biomarker in Wastewater—0
Estimating Peer Direct and Indirect Effects in Observational Network Data—0
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental DesignCode0
Performing clinical drug trials in children with a rare disease—0
Statistical Models for Outbreak Detection of Measles in North Cotabato, Philippines—0
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