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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 201–250 of 425 papers

TitleStatusHype
Wastewater catchment areas in Great BritainCode1
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks—0
Behavioral epidemiology: An economic model to evaluate optimal policy in the midst of a pandemic—0
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
Spread of variants of epidemic disease based on the microscopic numerical simulations on networks—0
PEACH Tree: A Multiple Sequence Alignment and Tree Display Tool for Epidemiologists—0
Compartmental and cellular automaton SEIRS epidemiology models for the COVID-19 pandemic with the effects of temporal immunity and vaccination—0
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes—0
The network epidemiology of an Ebola epidemic—0
A Rule-Based Epidemiological Modelling Framework—0
Global and local epidemiology of Group A Streptococcus indicates that naturally-acquired immunity is enduring and strain-specific—0
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation—0
A review of commonly used compartmental models in epidemiology—0
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine—0
TCube: Domain-Agnostic Neural Time-series NarrationCode1
Modeling complex systems: A case study of compartmental models in epidemiology—0
Reformulating the SIR model in terms of the number of COVID-19 detected cases: well-posedness of the observational model—0
The evolutionary epidemiology of pathogens during vaccination campaigns—0
A survey of Bayesian Network structure learning—0
Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment—0
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States—0
Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data—0
Sliding-mode theory under feedback constraints and the problem of epidemic control—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology—0
Combining COVID-19 Vaccination with Social Distancing Measures—0
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19—0
Evidence Aggregation for Treatment Choice—0
Individual Survival Curves with Conditional Normalizing Flows—0
Inference for High Dimensional Censored Quantile RegressionCode0
Fiber decomposition of deterministic reaction networks with applications—0
Unifying incidence and prevalence under a time-varying general branching processCode0
Challenges for machine learning in clinical translation of big data imaging studiesCode0
The Multi-phase spatial meta-heuristic algorithm for public health emergency transportation—0
Mandoline: Model Evaluation under Distribution ShiftCode1
An activation-clearance model for Plasmodium vivax malaria—0
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian ProcessesCode0
Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems—0
Encoding physics to learn reaction-diffusion processesCode1
A review of matrix SIR Arino epidemic models—0
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
A Mathematical Model of COVID-19 Transmission—0
Probing the Effect of Selection Bias on Generalization: A Thought Experiment—0
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19—0
Policy Evaluation during a PandemicCode1
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower BoundsCode0
Hard Encoding of Physics for Learning Spatiotemporal Dynamics—0
Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19Code0
Modeling the COVID-19 pandemic: A primer and overview of mathematical epidemiology—0
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