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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 1–50 of 425 papers

TitleStatusHype
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
Simulation-Based Inference for Global Health DecisionsCode2
All-in-one simulation-based inferenceCode2
Epidemiology-Aware Neural ODE with Continuous Disease Transmission GraphCode2
A Review of Graph Neural Networks in Epidemic ModelingCode2
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
Neural parameter calibration for large-scale multi-agent modelsCode1
BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingCode1
Wastewater catchment areas in Great BritainCode1
TCube: Domain-Agnostic Neural Time-series NarrationCode1
Neural Spatio-Temporal Point ProcessesCode1
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment EffectsCode1
A Categorical Framework for Modeling with Stock and Flow DiagramsCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
Epidemiological Agent-Based Modelling Software (Epiabm)Code1
Policy Evaluation during a PandemicCode1
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsCode1
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in GermanyCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
Differentiable Agent-based EpidemiologyCode1
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and LimitationsCode1
LAPIS is a fast web API for massive open virus sequencing databasesCode1
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Enhancing crowd flow prediction in various spatial and temporal granularitiesCode1
Encoding physics to learn reaction-diffusion processesCode1
Mandoline: Model Evaluation under Distribution ShiftCode1
Spatio-temporal Diffusion Point ProcessesCode1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
Exploring the evolution of research topics during the COVID-19 pandemicCode0
Federated Learning for Non-factorizable Models using Deep Generative Prior ApproximationsCode0
Epidemiological dynamics in populations structured by neighbourhoods and householdsCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Distilling Importance Sampling for Likelihood Free InferenceCode0
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured DataCode0
A Behaviour and Disease Model of Testing and IsolationCode0
Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social MediaCode0
Disease control as an optimization problemCode0
Flexible Parametric Inference for Space-Time Hawkes ProcessesCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
A refractory density approach to a multi-scale SEIRS epidemic modelCode0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Covariance regression with random forestsCode0
Correspondence Analysis Using Neural NetworksCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Accelerating Simulation-based Inference with Emerging AI HardwareCode0
Cost-aware simulation-based inferenceCode0
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component ModelsCode0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
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