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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 76–100 of 425 papers

TitleStatusHype
bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data—0
An SIRS-model considering waning efficiency and periodic re-vaccination—0
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis—0
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models—0
Causal reasoning in difference graphs—0
Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis Analyses—0
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks—0
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case—0
Combining COVID-19 Vaccination with Social Distancing Measures—0
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems—0
Defining the lead time of wastewater-based epidemiology for COVID-19—0
Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model—0
A quantitative compendium of COVID-19 epidemiology—0
Computational Approaches of Modelling Human Papillomavirus Transmission and Prevention Strategies: A Systematic Review—0
Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
A Mathematical Model of COVID-19 Transmission—0
Continuous and discrete compartmental models for infectious disease—0
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks—0
Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
A review of matrix SIR Arino epidemic models—0
Cost-efficient vaccination protocols for network epidemiology—0
Counterfactual Analysis in Dynamic Latent State Models—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
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