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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
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment EffectsCode1
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and LimitationsCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net ModelsCode0
Six Decades Post-Discovery of Taylor's Power Law: From Ecological and Statistical Universality, Through Prime Number Distributions and Tipping-Point Signals, to Heterogeneity and Stability of Complex Networks—0
Improving wastewater-based epidemiology through strategic placement of samplers—0
A note on metapopulation models—0
Mamba Integrated with Physics Principles Masters Long-term Chaotic System ForecastingCode0
Symbolic Foundation Regressor on Complex Networks—0
Are Statistical Methods Obsolete in the Era of Deep Learning?—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
Clustering and Pruning in Causal Data FusionCode0
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph TransformerCode0
Mathematical epidemiology of infectious diseases: an ongoing challenge—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
New insights into population dynamics from the continuous McKendrick model—0
The two-clock problem in population dynamics—0
Simulating biochemical reactions: The Linear Noise Approximation can capture non-linear dynamics—0
Continuous and discrete compartmental models for infectious disease—0
Deep spatio-temporal point processes: Advances and new directions—0
A Behaviour and Disease Model of Testing and IsolationCode0
Identifying Macro Causal Effects in C-DMGs—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
Group centrality in optimal and suboptimal vaccination for epidemic models in contact networks—0
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