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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
Multi-fidelity Hierarchical Neural ProcessesCode0
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems—0
Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification—0
Petri nets in epidemiology—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
Counterfactual Analysis in Dynamic Latent State Models—0
Pneumococcus and the stress-gradient hypothesis: a trade-off links R_0 and susceptibility to co-colonization across countries—0
Inference of a Rumor's Source in the Independent Cascade Model—0
New results and open questions for SIR-PH epidemic models with linear birth rate, loss of immunity, vaccination, and disease and vaccination fatalities—0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Modeling-informed policy, policy evaluated by modeling: Evolution of mathematical epidemiology in the context of society and economy—0
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
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
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
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
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