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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
All-in-one simulation-based inferenceCode2
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
Epidemiology-Aware Neural ODE with Continuous Disease Transmission GraphCode2
A Review of Graph Neural Networks in Epidemic ModelingCode2
Simulation-Based Inference for Global Health DecisionsCode2
Encoding physics to learn reaction-diffusion processesCode1
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 Identification of Number of Unreported Cases for COVID-19: Bounds and LimitationsCode1
TCube: Domain-Agnostic Neural Time-series NarrationCode1
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsCode1
Neural parameter calibration for large-scale multi-agent modelsCode1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
A Categorical Framework for Modeling with Stock and Flow DiagramsCode1
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Policy Evaluation during a PandemicCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Epidemiological Agent-Based Modelling Software (Epiabm)Code1
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
Mandoline: Model Evaluation under Distribution ShiftCode1
Neural Spatio-Temporal Point ProcessesCode1
Spatio-temporal Diffusion Point ProcessesCode1
Wastewater catchment areas in Great BritainCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingCode1
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment EffectsCode1
Differentiable Agent-based EpidemiologyCode1
LAPIS is a fast web API for massive open virus sequencing databasesCode1
Enhancing crowd flow prediction in various spatial and temporal granularitiesCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
An epidemiological model of viral infections in a Varroa-infested bee colony: the case of a bee-dependent mite population size—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
An epidemical model with nonlocal spatial infections—0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States—0
An activation-clearance model for Plasmodium vivax malaria—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
A framework for the modelling and the analysis of epidemiological spread in commuting populations—0
A comprehensive review of Chronic Kidney Disease of Unknown Etiology—0
At the crossroads of epidemiology and biology: bridging the gap between SARS-CoV-2 viral strain properties and epidemic wave characteristics—0
A review of commonly used compartmental models in epidemiology—0
Are Statistical Methods Obsolete in the Era of Deep Learning?—0
A Mathematical Model of COVID-19 Transmission—0
A Markov chain model to investigate the spread of antibiotic-resistant bacteria in hospitals—0
A review of matrix SIR Arino epidemic models—0
A Rule-Based Epidemiological Modelling Framework—0
A quantitative compendium of COVID-19 epidemiology—0
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