SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 425 papers

TitleStatusHype
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Learning and Generalizing Polynomials in Simulation MetamodelingCode0
Explicit mathematical epidemiology results on age renewal kernels and R0 formulas are often consequences of the rank one property of the next generation matrix—0
Superinfection and the hypnozoite reservoir for Plasmodium vivax: a general framework—0
Identifiable causal inference with noisy treatment and no side informationCode0
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
A Causal Framework for Decomposing Spurious Variations—0
Under-Counted Tensor Completion with Neural Incorporation of AttributesCode0
Parity CalibrationCode0
BAND: Biomedical Alert News DatasetCode0
A Markov chain model to investigate the spread of antibiotic-resistant bacteria in hospitals—0
Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis Analyses—0
Using Geographic Location-based Public Health Features in Survival AnalysisCode0
Ontology for Healthcare Artificial Intelligence Privacy in Brazil—0
Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient—0
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients—0
JUNE-Germany: An Agent-Based Epidemiology Simulation including Multiple Virus Strains, Vaccinations and Testing Campaigns—0
Efficient simulation of individual-based population models: the R Package IBMPopSim—0
New n-consistent, numerically stable higher-order influence function estimators—0
Simulation algorithms for Markovian and non-Markovian epidemics—0
Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model—0
At the crossroads of epidemiology and biology: bridging the gap between SARS-CoV-2 viral strain properties and epidemic wave characteristics—0
Geometric approach for non pharmaceutical interventions in epidemiology—0
Optimality-preserving Reduction of Chemical Reaction Networks—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics—0
Neural Network Augmented Compartmental Pandemic Models—0
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe—0
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node propertiesCode0
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks—0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling—0
Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant modelCode0
Confound-leakage: Confound Removal in Machine Learning Leads to LeakageCode0
Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework—0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code EmbeddingsCode0
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic—0
Covariance regression with random forestsCode0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones—0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies—0
An agent-based modeling approach for real-world economic systems: Example and calibration with a Social Accounting Matrix of Spain—0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis—0
Machine learning of percolation models using graph convolutional neural networks—0
Eco-evolutionary tradeoffs in the dynamics of prion strain competition—0
Spatiotemporal Data Mining: A Survey—0
Stochastic compartmental models of COVID-19 pandemic must have temporally correlated uncertainties—0
Moving towards FAIR practices in epidemiological research—0
Show:102550
← PrevPage 4 of 9Next →

No leaderboard results yet.