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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 101–150 of 425 papers

TitleStatusHype
Forecasting and predicting stochastic agent-based model data with biologically-informed neural networksCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
Learning and Generalizing Polynomials in Simulation MetamodelingCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter ParadigmCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications—0
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System—0
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
Understanding Multistationarity of Fully Open Reaction Networks—0
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes—0
An epidemiological model of viral infections in a Varroa-infested bee colony: the case of a bee-dependent mite population size—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
Deep Learning for Epidemiological Predictions—0
Deep Learning applications for COVID-19—0
Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis—0
Deep clustering of longitudinal data—0
Generalizing Correspondence Analysis for Applications in Machine Learning—0
Deep spatio-temporal point processes: Advances and new directions—0
Data, tools and resources for mining social media drug chatter—0
At the crossroads of epidemiology and biology: bridging the gap between SARS-CoV-2 viral strain properties and epidemic wave characteristics—0
An epidemical model with nonlocal spatial infections—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies—0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing—0
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology—0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures—0
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19—0
A survey of Bayesian Network structure learning—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
A new formulation of compartmental epidemic modelling for arbitrary distributions of incubation and removal times—0
A systems biology approach to COVID-19 progression in a population—0
An activation-clearance model for Plasmodium vivax malaria—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
Coupling plankton and cholera dynamics: insights into outbreak prediction and practical disease management—0
Counterfactual Analysis in Dynamic Latent State Models—0
A Rule-Based Epidemiological Modelling Framework—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
Cost-efficient vaccination protocols for network epidemiology—0
A review of matrix SIR Arino epidemic models—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
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