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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 301–350 of 425 papers

TitleStatusHype
Nash SIR: An Economic-Epidemiological Model of Strategic Behavior During a Viral Epidemic—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and LimitationsCode1
A quantitative compendium of COVID-19 epidemiology—0
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
Production networks and epidemic spreading: How to restart the UK economy?—0
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model—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
Simulation-Based Inference for Global Health DecisionsCode2
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Heterogeneity in susceptibility dictates the order of epidemiological modelsCode0
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models—0
Partner support during pregnancy mediates social inequalities in maternal postpartum depression for non-migrant and first generation migrant women—0
Epidemic control via stochastic optimal control—0
Measurement Error in Nutritional Epidemiology: A Survey—0
Embedded model discrepancy: A case study of Zika modeling—0
Ivy: Instrumental Variable Synthesis for Causal Inference—0
Total Variation Regularization for Compartmental Epidemic Models with Time-Varying DynamicsCode0
Options on infectious diseases—0
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities—0
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)—0
Reduction in respiratory mortality not associated with influenza in Russia: effect of the introduction of pneumococcal vaccination (PCV13), or improvement in care?—0
Interplay between competitive and cooperative interactions in a three-player pathogen systemCode0
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case—0
Outliers Detection in Networks with Missing Links—0
Optimal Estimation of Change in a Population of Parameters—0
Mortality for circulatory and respiratory causes associated with influenza circulation in Russia during the 2013/14 through the 2018/19 seasons—0
Equivariant online predictions of non-stationary time series—0
Parameter elimination in particle Gibbs samplingCode0
Distilling Importance Sampling for Likelihood Free InferenceCode0
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes—0
Infant Mortality Prediction using Birth Certificate Data—0
Efficient comparison of independence structures of log-linear modelsCode0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
The Kernel Spatial Scan Statistic—0
Hijacking Malaria Simulators with Probabilistic Programming—0
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records—0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Toponym Identification in Epidemiology Articles - A Deep Learning Approach—0
Spatial CUSUM for Signal Region Detection—0
Semiparametric Methods for Exposure Misclassification in Propensity Score-Based Time-to-Event Data Analysis—0
Correspondence Analysis Using Neural NetworksCode0
Is a single unique Bayesian network enough to accurately represent your data?—0
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology—0
Model Selection for Simulator-based Statistical Models: A Kernel Approach—0
Empowering individual trait prediction using interactions—0
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
Thought Viruses and Asset Prices—0
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