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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 26–50 of 425 papers

TitleStatusHype
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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