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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 351–375 of 425 papers

TitleStatusHype
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case—0
Defining the lead time of wastewater-based epidemiology for COVID-19—0
A quantitative compendium of COVID-19 epidemiology—0
Are Statistical Methods Obsolete in the Era of Deep Learning?—0
A review of commonly used compartmental models in epidemiology—0
A review of matrix SIR Arino epidemic models—0
A Rule-Based Epidemiological Modelling Framework—0
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
A new formulation of compartmental epidemic modelling for arbitrary distributions of incubation and removal times—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
A survey of Bayesian Network structure learning—0
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology—0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
At the crossroads of epidemiology and biology: bridging the gap between SARS-CoV-2 viral strain properties and epidemic wave characteristics—0
Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis—0
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes—0
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis—0
Behavioral epidemiology: An economic model to evaluate optimal policy in the midst of a pandemic—0
Bekli:A Simple Approach to Twitter Text Normalization.—0
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model—0
Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model—0
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