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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

Showing 2130 of 425 papers

TitleStatusHype
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Epidemiological Agent-Based Modelling Software (Epiabm)Code1
Interpreting Temporal Graph Neural Networks with Koopman TheoryCode1
LAPIS is a fast web API for massive open virus sequencing databasesCode1
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
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Spatio-temporal Diffusion Point ProcessesCode1
An epidemiological model of viral infections in a Varroa-infested bee colony: the case of a bee-dependent mite population size0
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